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What Is Known and Objective: Prescribing errors are the leading cause of adverse drug events in hospitalized patients. Pharmaceutical validation, defined as the review of drug orders by a pharmacist, associated with clinical decision support (CDS) systems, significantly reduces these errors and adverse drug events. In Belgium, because clinical pharmacy services have limited public financial support, most pharmaceutical validations are performed at the central pharmacy instead of on-ward, by hospital pharmacists doing dispensing activities. In that context, we aimed at evaluating whether the strategy of CDS-guided central validation was the most appropriate method to improve the quality and safety of medicines' use compared to an on-ward pharmaceutical validation., Methods: Our retrospective observational study was conducted in a Belgian tertiary care hospital, in 2018-2019. Data were extracted from our validation software and pharmacists' charts. The outcomes of the study were the number of pharmaceutical interventions due to the detection of prescribing errors, reasons for interventions, their acceptance rate and their potential clinical impact (according to two blinded experts) in the central pharmacy and on-ward validation groups., Results and Discussion: Despite the use of the same CDS, a pharmaceutical intervention following the detection of a prescribing error was made for 2.9% (20/698) of central group patients and 13.3% (93/701) of on-ward patients (χ 2  = 49.97, p < 0.001). Interventions made at the central pharmacy (n = 20) mostly relied on CDS-alerts (i.e. drug-drug interaction [25%] or overdosing [20%]) while interventions made on-ward (n = 93) were also for pharmacotherapy optimization (i.e. no valid indication [25%] or inappropriate drug's choice [11%]). The on-ward validation group showed a higher acceptance rate compared to the central group (84% and 65%, respectively [Fisher's test, p = 0.053]). Proportions of interventions with significant or very significant clinical impact were similar between the two groups but as fewer interventions were made centrally, a significant proportion of errors were probably not detected by the central validation., What Is New and Conclusion: On-ward pharmaceutical validation leads to a higher rate of prescribing error detection. Pharmaceutical interventions made by on-ward pharmacists are also better accepted and more relevant, going further than CDS-alerts., (© 2021 John Wiley & Sons Ltd.)

The aims were to develop an integrated electronic medication reconciliation (ieMR) platform, evaluate its effects on preventing potential duplicated medications, analyze the distribution of the potential duplicated medications by the Anatomical Therapeutic and Chemical (ATC) code for all inpatients, and determine the rate of 30-day medication-related hospital revisits for a geriatric unit. The study was conducted in a tertiary medical center in Taiwan and involved a retrospective quasi pre-intervention (July 1-November 30, 2015) and post-intervention (October 1-December 31, 2016) study design. A multidisciplinary team developed the ieMR platform covering the process from admission to discharge. The ieMR platform included six modules of an enhanced computer physician order entry system (eCPOE), Pharmaceutical-care, Holistic Care, Bedside Display, Personalized Best Possible Medication Discharge Plan, and Pharmaceutical Care Registration System. The ieMR platform prevented the number of potential duplicated medications from pre (25,196 medications, 2.3%) to post (23,413 medications, 3.8%) phases (OR 1.71, 95% CI, 1.68-1.74; p < .001). The most common potential duplicated medications classified by the ATC codes were cardiovascular system (28.4%), alimentary tract and metabolism (26.4%), and nervous system (14.9%), and by chemical substances were sennoside (12.5%), amlodipine (7.5%), and alprazolam (7.4%). The rate of medication-related 30-day hospital revisits for the geriatric unit was significantly decreased in post-intervention compared with that in pre-intervention (OR = 0.12; 95% CI, 0.03-0.53; p < .01). This study indicated that the ieMR platform significantly prevented the number of potential duplicated medications for inpatients and reduced the rate of 30-day medication-related hospital revisits for the patients on the geriatric unit.

Objective: To understand how to potentially improve inappropriate prostate cancer imaging rates we used National Comprehensive Cancer Network's guidelines to design and implement a Clinical Reminder Order Check (CROC) that alerts ordering providers of potentially inappropriate imaging orders in real-time based on patient features of men diagnosed with low-risk prostate cancer., Methods: We implemented the CROC at VA New York Harbor Healthcare System from April 2, 2015 to November 15, 2017. We then used VA administrative claims from the VA's Corporate Data Warehouse to analyze imaging rates among men with low-risk prostate cancer at VA New York Harbor Healthcare System before and after CROC implementation. We also collected and cataloged provider responses in response to overriding the CROC in qualitative analysis. RESULTS FIFTY SEVEN PERCENT: (117/205) of Veterans before CROC installation and 73% (61/83) of Veterans post-intervention with low-risk prostate cancer received guideline-concordant care., Conclusion: While the decrease in inappropriate imaging during our study window was almost certainly due to many factors, a Computerized Patient Record System-based CROC intervention is likely associated with at least moderate improvement in guideline-concordant imaging practices for Veterans with low-risk prostate cancer., (Published by Elsevier Inc.)

Most of the continuous positive airway pressure (CPAP) devices currently in use allow telemonitoring of observance, leaks and the apnoea-hypopnoea index (AHI). La Société française de recherche et de médecine du sommeil (SFRMS) and La Société de pneumologie de langue française (SPLF) workgroup offer to CPAP prescribers and to home care providers a scientific document which has the following purposes: to underline the relevance of the telemonitoring of leaks and the AHI, to define alert thresholds, to describe the principal mechanisms generating excessive leaks and high AHI, and to propose a diagnostic algorithm., (Copyright © 2020 SPLF. Published by Elsevier Masson SAS. All rights reserved.)

Objectives: Sutter Health developed a novel autopend, or automated laboratory test ordering, clinical decision support (CDS) tool to coordinate the patient and physician process of completing preventive services. This study estimated the costs of developing and implementing the autopend functionality within an existing electronic health maintenance (HM) reminder system., Study Design: Human resource time was measured by triangulating in-depth key informant interviews with Microsoft Outlook Calendar metadata (meetings attended) for managers and hourly data from a time-based project management tool (Project Web App) for Epic programmers. Employee time spent was multiplied by the Bureau of Labor Statistics California state hourly wages. Sutter Health is an integrated health care delivery network with more than 12,000 physicians across 100 communities serving 3 million patients., Methods: Activity-based costing methodology was used to divide the implementation into activities and the human resources required to complete them., Results: Developing and implementing the autopend CDS took more than 3 years, involved 6 managers and 3 Epic programmers, and cost $201,500 (2013 US$) (2670 total hours), which excluded the costs of implementing the initial HM reminder system. Managers spent 90.5% of the total costs (86.6% of total hours) integrating autopend into the health system compared with 9.5% of the total costs (13.4% of total hours) spent programming the functionality., Conclusions: The autopend CDS might be similarly costly for other organizations to implement if their managers need to complete comparable activities. However, electronic health record vendors could include autopend as a standard package to reduce development costs and improve the uptake of this promising CDS tool.

Objective: Evaluate the impact of multi-component quality improvement for pediatric asthma care focusing on serial use of an evidence-based clinical pathway via paper order sets, pathway integration into computerized provider order entry (CPOE), use of a clinical respiratory score (CRS) and a discharge checklist. Methods: Outcomes were assessed over three intervention periods and 50 months on: time to beta-agonist and steroid first administration, frequency of readmissions and hospital length of stay. A general linear model estimated mean log(LOS) over time and between study periods. Time to discharge was transformed using the natural logarithm. Results: No improvements in time to first beta-agonist or steroid administration were observed. There was a reduction in 100-day readmissions ( p  = 0.008): decreasing from 7.4 to 2.1% after introduction of paper order sets and CRS (adjusted p  = 0.04); to 3.9% after CPOE implementation (adjusted p  = 0.53) and to 2.2% when a discharge checklist was added (adjusted p  = 0.01). There was a statistically significant reduction in LOS between study periods ( p  = 0.015). The geometric mean LOS in hours during study periods 1-4 were: 34.8 (95% CI: 32.2, 37.6), 29.3 (95% CI: 27.5, 31.3), 29.0 (95% CI: 27.0, 31.3) and 23.1 (95% CI: 22.1, 24.2). Pair-wise comparisons between periods were statistically significant (adjusted p  ≤ 0.003), except for Periods 2 and 3 (adjusted p  = 0.83). Conclusions: Hospital length of stay and 100-day readmissions rate in a predominantly Hispanic, Medicaid patient population were reduced by utilization of an evidence-based best practices asthma management pathway and CRS within CPOE, combined with a checklist to expedite discharge.

Aims: The aim of this study was to improve medication reconciliation and reduce the occurrence of duplicate prescriptions by pharmacists and physicians within 72 hours of hospital admission using an intelligent prescription system combined with the National Health Insurance PharmaCloud system to integrate the database with the medical institution computerized physician order entry (CPOE) system., Methods: This 2-year intervention study was implemented in the geriatric ward of a hospital in Taiwan. We developed an integrated CPOE system linked with the PharmaCloud database and established an electronic platform for coordinated communication with all healthcare professionals. Patients provided written informed consent to access their PharmaCloud records. We compared the intervention effectiveness within 72 hours of admission for improvement in pharmacist medication reconciliation, increased at-home medications documentation and decreased costs from duplicated at-home prescriptions., Results: The medication reconciliation rate within 72 hours of admission increased from 44.0% preintervention to 86.8% postintervention (relative risk = 1.97, 95% confidence interval [CI]: 1.69-2.31; P < .001). The monthly average of patients who brought and took home medications documented in the CPOE system during hospitalization increased by 7.54 (95% CI 5.58-20.49, P = .22). The monthly average of home medications documented increased by 102.52 (95% CI 38.44-166.60; P = .01). Savings on the monthly average prescription expenditures of at-home medication increased by US$ 2,795.52 (95% CI US$1310.41-4280.63; P < .01)., Conclusion: Integrating medication data from PharmaCloud to the hospital's medical chart system improved pharmacist medication reconciliation, which decreased duplicated medications and reduced in-hospital medication costs., (© 2019 The British Pharmacological Society.)

Objective: A clinical decision support system (CDSS) for empirical antibiotic treatment has the potential to increase appropriate antibiotic use. Before using such a system on a broad scale, it needs to be tailored to the users preferred way of working. We have developed a CDSS for empirical antibiotic treatment in hospitalized adult patients. Here we determined in a usability study if the developed CDSS needed changes., Methods: Four prespecified patient cases, based on real life clinical scenarios, were evaluated by 8 medical residents in the study. The "think-aloud" method was used, and sessions were recorded and analyzed afterwards. Usability was assessed by 3 evaluators using an augmented classification scheme, which combines the User Action Framework with severity rating of the usability problems and the assessment of the potential impact of these problems on the final task outcomes., Results: In total 51 usability problems were identified, which could be grouped into 29 different categories. Most (n = 17/29) of the usability problems were cosmetic problems or minor problems. Eighteen (out of 29) of the usability categories could have an ordering error as a result. Classification of the problems showed that some of the problems would get a low priority based on their severity rating, but got a high priority for their impact on the task outcome. This effectively provided information to prioritize system redesign efforts., Conclusion: Usability studies improve lay-out and functionality of a CDSS for empirical antibiotic treatment, even after development by a multidisciplinary system., Competing Interests: The authors have declared that no competing interests exist.

Purpose: Risks and vulnerabilities of the medication-use process in nonpediatric institutions that also serve pediatric patients are reviewed, and guidance on risk mitigation strategies is provided., Summary: There are many risks and vulnerabilities in the medication-use process as it relates to pharmacotherapy for pediatric patients admitted to adult institutions. Mitigation of these risks is critical and should encompass various available resources and strategies. Special emphasis should be placed on use of technology to improve overall safety. Available literature recommends optimization of technology and resource use, institutional support for pediatric pharmacists' involvement in managing pediatric medication use, and provision of early exposure to pediatric patients in pharmacist training programs as additional methods of mitigating risks associated with pediatric medication use in adult institutions. Adult hospitals that provide care for pediatric patients should assess their processes in order to identify hospital-specific interventions to promote pediatric medication safety., Conclusion: Pediatric medication safety frameworks in U.S. adult institutions vary widely. Treating pediatric patients involves risks in all areas of the medication-use process. Optimizing technology, utilizing external resources, supporting a pediatric pharmacist, and providing early-career exposure to pediatric patients are methods to mitigate risks in institutions that primarily serve adult patients., (© American Society of Health-System Pharmacists 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Purpose: The implementation and maintenance of a process for adding and removing hyperlinks to medication management policies and guidelines approved by a pharmacy and therapeutics (P&T) committee into the electronic health record (EHR) are described., Summary: Medication management policies and guidelines approved by the P&T committee are published on the University of Utah Health intranet, making it possible to add hyperlinks to this information within the EHR. Adding these hyperlinks allows policy and guideline information to be available to clinicians on the medication ordering, verification, and administration screens without requiring a separate search of the intranet. In a quality-improvement project, all medication management policies and guidelines posted on the intranet were reviewed for relevance to the medication ordering, verification, and administration processes. Hyperlinks to relevant policies and guidelines were implemented into the EHR for specific medications. At the beginning of the review, 100 unique drugs associated with 1 or more hyperlinks were identified. The hyperlinks referenced a total of 33 Web documents: 8 policies and 25 guidelines. There are 74 medication management policies and 78 medication management guidelines approved by the P&T committee at University of Utah Health. After investigator review, 12 of 74 policies (16%) and 41 of 78 guidelines (53%) were deemed relevant during the medication ordering, verification, and administration processes. The review and hyperlink implementation process took a total of 101 hours. A continual review process was developed to enable addition and removal of hyperlinks as appropriate., Conclusion: Providing direct access to relevant medication management policies and guidelines approved by the P&T committee during the medication ordering, verification, and administration processes via hyperlinks in the EHR makes formulary information readily accessible by appropriate staff. These hyperlinks may also improve adherence to formulary information, reduce medication expenditure, and improve safety and therapeutic outcomes of medication therapy., (© American Society of Health-System Pharmacists 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Healthcare delivery organizations face increasing pressure to manage the use of medications in terms of safety, waste reduction, and cost containment., Objective: To describe a computerized provider order entry (CPOE) system intervention to optimize use of a commonly ordered, high-cost therapeutic: intravenous immune globulin (IVIG)., Design: Description of IVIG order configuration, medication use patterns, and subsequent order set configuration development in a CPOE system., Measurements: IVIG orders were extracted from the CPOE system before and after the implementation of a specialty orderset to determine the indications for use, dosing, and duration of therapy. Orders were compared to a theoretical dosing schedule created from published evidence and data from a prior medication use evaluation., Results: During 36 months before the implementation of the IVIG order set, 1965 IVIG orders were reviewed. The prescribed IVIG dose varied considerably from the expected dose (mean = -1.8, range = -4.9-1.5). In the 27 months after order set implementation, 848 IVIG orders were reviewed. The prescribed IVIG dose was closer to the expected dose (mean = -1.2, range = -3.9-2.6, P  < .0001)., Conclusions: Order configuration processes are cumbersome and time-consuming, but can be streamlined to enhance a medication's usage in the healthcare system. A better understanding of institution-specific ordering patterns may facilitate more efficient and effective order configuration and optimize drug use., Competing Interests: The authors of this manuscript have nothing to disclose.

Objectives: To evaluate if changes in how laboratory test requests are presented in the electronic health record (EHR) would lead to less testing., Study Design: Computerized laboratory data were used to compare the numbers of tests ordered before and after each change was introduced., Methods: Leumit Health Services (a health maintenance organization [HMO] in Israel) has a central laboratory that serves HMO members in 340 clinics all over the country. We were able to compare the numbers of gamma glutamyl transferase (GGT) tests ordered during different periods of time during which the ways of presenting the parameters on the main laboratory screen of the EHR were changed., Results: A dramatic reduction in orders occurred when GGT tests could be ordered only by the search engine function, instead of being ordered from 2 other lists that appear on the main screen-from about 36,000 to about 1000 per month. When the GGT test option was added back to just 1 place on the main screen, the numbers jumped back to 18,000, and when GGT returned to its original place in all the lists, back to more than 35,000. Since then, the GGT test is available on the main screen only in the batch of liver tests., Conclusions: A slight decrease in the convenience of ordering a laboratory test that is not indicated for routine screening led to a dramatic decrease in the number of test orders sent. Convenience is a positive thing when it saves precious time, but if it leads to overtesting, we shall not have gained much.

Background: At Freiburg University Medical Center, chemotherapy prescriptions are processed via a computerized physician order entry (CPOE) tool and clinically checked by a designated chemotherapy surveillance team. Any error detected is reported instantly, corrected, and prospectively recorded. The objective of the current study was to gain insight into the causes, potential consequences, and future preventability of chemotherapy prescribing errors., Methods: A detailed analysis of 18,823 consecutive antineoplastic orders placed in 2013 through 2014 was performed. In cooperation with information technology (IT) specialists, the intercepted errors were analyzed for effective future prevention using IT measures. Potential error consequences were determined by case discussions between pharmacists and physicians., Results: Within 24 months, a total of 406 chemotherapy prescribing errors were intercepted that affected 375 (2%) of the total orders. Errors were classified as clinically relevant in 279 of the chemotherapy orders (1.5%). In these cases, reduced therapeutic efficacy (0.44%), the need for increased monitoring (0.48%), prolonged hospital stay (0.55%), and fatality (0.02%) were avoided as potential consequences. The most efficient conventional measures for error prevention comprised checking the order history and patient's medical record, and a detailed knowledge of chemotherapy protocols. Of all the errors analyzed, 61% would be avoided through further software development. The improvements identified are implemented through a validated next-generation CPOE tool., Conclusions: The upgraded CPOE tool can be shared across other hospitals to raise safety standards and spread potential benefits across a wider patient population. The current analysis also highlighted that approximately 30% to 40% of errors cannot be avoided electronically. Therefore, pharmacovigilance initiatives remain indispensable., (© 2019 American Cancer Society.)

Purpose: The effectiveness of a systematic, streamlined approach to optimize drug-drug interaction alerts in an electronic health record for a health system was studied., Methods: An 81-week quasi-experimental study was conducted to evaluate interventions made to medication-related clinical decision-support (CDS) alerts. Medication-related CDS alerts were systematically reduced using a multi disciplinary healthcare committee. The primary endpoint was weekly overall, modification, and acknowledgement rates of medication alerts after drug-drug interaction reclassification. Secondary endpoints included sub analysis of types of medication alerts (drug-drug interaction and duplicate therapy alerts) and alert use by providers (pharmacist and prescribers). Data was analyzed using interrupted time series regression analysis., Results: After implementation of the new alert system, total number of weekly inpatient alerts decreased from 68,900 (66,300-70,900) and 50,300 (48,600-53,600) in the postintervention period (p < 0.001). The perentage of alerts acknowledged weekly increased from 11.8% (IQR, 11.4-12.1%) in the preintervention period to 13.7% (IQR, 13.3-14.0%) in the postintervention period (p < 0.001). The percentage of alerts that were modified also increased from 5.0% (IQR, 4.9-5.3%) in the preintervention period to 7.3% (IQR, 7.0-7.6%) in the postintervention period (p < 0.001). Both increases were primarily seen with pharmacists versus other healthcare professionals (p < 0.001)., Conclusion: A committee-led systematic approach to optimizing drug-drug interactions facilitated a significant decrease in the overall number of alerts and an increase in both medication alert acknowledgement and modification rates., (© American Society of Health-System Pharmacists 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Work system assessments can facilitate successful implementation of quality improvement programs. Using a human factors engineering approach, we conducted a work system assessment to facilitate the dissemination of a quality improvement program for optimizing blood culture use in pediatric intensive care units at 2 hospitals., Methods: Semistructured face-to-face interviews were conducted with clinicians from Johns Hopkins All Children's Hospital and University of Virginia Medical Center. Interview data were analyzed using qualitative content analysis., Results: Blood culture-ordering practices are influenced by various work system factors, including people, tasks, tools and technologies, the physical environment, organizational conditions, and the external environment. A clinical decision-support tool could facilitate implementation by (1) standardizing blood culture-ordering practices, (2) ensuring that prescribing clinicians review the patient's condition before ordering a blood culture, (3) facilitating critical thinking, and (4) empowering nurses to communicate with physicians and advocate for adherence to blood culture-ordering guidelines., Conclusion: The success of interventions for optimizing blood culture use relies heavily on the local context. A work system analysis using a human factors engineering approach can identify key areas to be addressed for the successful dissemination of quality improvement interventions., (© The Author(s) 2017. Published by Oxford University Press on behalf of The Journal of the Pediatric Infectious Diseases Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Purpose: The implementation of a commercially available, Web-based, barcode-enabled workflow management system for filling and checking patient-specific oral syringes at the Cleveland Clinic is described., Summary: Historically, the process for preparing oral syringes has been a manual, repetitive procedure at Cleveland Clinic. Within this process, paper logs are the sole source of information. These logs can be difficult to locate or interpret. It remains a rote process with numerous manual steps offering opportunity for human error. Traditionally, automation, such as barcode scanning, has not been available during oral syringe preparation and checking. Based on increasing regulatory demands and documentation gaps identified, solutions were explored in the pharmacy's nonsterile compounding environment. An electronic verification workflow system was developed, implemented, and evaluated with a focused assessment of throughput and patient safety relative to oral syringe preparation. This was a retrospective study conducted in an academic, tertiary, acute care medical center. Analysis was completed at 3 months to evaluate efficiencies. Data regarding experiences at the Cleveland Clinic shows promising benefits with regards to United States Pharmacopeia chapter 795 compliance, the pursuit of incorporating advanced informatics and automation in manual processes, and standardization of workflow within an enterprise setting., Conclusion: Implementation of an electronic workflow verification system that integrates barcode verification and image-capture capabilities has maintained regulatory compliance in the nonsterile compounding environment including preparation of oral syringe doses without impacting throughput.

Purpose: Results of a study to evaluate medication storage, distribution, and safety outcomes after addition of 23.4% sodium chloride to a hospital formulary and development of a novel distribution process incorporating safeguards allowing for urgent medication removal from an automated dispensing cabinet (ADC) are reported., Summary: A retrospective review of 23.4% sodium chloride injection doses dispensed during a 38-month period was performed at an academic medical center to evaluate times from order entry to pharmacist verification, dispensing, and administration; adverse events related to dispensing or administration; and other outcomes. Seventy doses of 23.4% sodium chloride injection were administered to 60 patients during the study period. The mean times from order entry to pharmacist verification, medication removal from an ADC, and administration were 8, 25, and 43 minutes, respectively, when the ADC override function was not used. After 23.4% sodium chloride injection's addition to the ADC override list, 16 of 30 doses were removed "on override," with order entry performed retrospectively for 9 of these doses. There were no documented adverse events related to medication distribution and 2 adverse effects possibly related to medication administration., Conclusion: Novel storage and distribution processes for 23.4% sodium chloride injection were implemented at a large academic medical center to optimize safety related to the medication-use process. A retrospective review of 70 administered doses found the process of maintaining this medication in ADCs to be a safe and efficient method of storing and dispensing a high-alert medication., (© American Society of Health-System Pharmacists 2018. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Closed-loop electronic medication management systems (EMMS) are recognised as an effective intervention to improve medication safety, yet evidence of their effectiveness in hospitals is limited. Few studies have compared medication turnaround time for a closed-loop electronic versus paper-based medication management environment., Objective: To compare medication turnaround times in a paper-based hospital environment with a digital hospital equipped with a closed-loop EMMS, consisting of computerised physician order entry, profiled automated dispensing cabinets packaged with unit dose medications and barcode medication administration., Method: Data were collected during 2 weeks at three private hospital sites (one with closed-loop EMMS) within the same organisation network in Queensland, Australia. Time between scheduled and actual administration times was analysed for first dose of time-critical and non-critical medications located on the ward or sourced via pharmacy., Key Findings: Medication turnaround times at the EMMS site were less compared to the paper-based sites (median, IQR: 35 min, 8-57 min versus 120 min, 30-180 min, P < 0.001). For time-critical medications, 77% were administered within 60 min of scheduled time at the EMMS site versus 38% for the paper-based sites. Similar difference was observed for non-critical medications, 80% were administered within 60 min of their scheduled time at the EMMS site versus 41% at the paper-based facilities., Conclusion: The study indicates medication turnaround times utilising a closed-loop EMMS are less compared to paper-based systems. This improvement may be attributable to increased accessibility of medications using automated dispensing cabinets and electronic medication administration records flagging tasks to nurses in real time., (© 2018 Royal Pharmaceutical Society.)

Background: With advancements in information technology, computerized physician order entry (CPOE) and electronic Medical Records (eMR), have become widely utilized in medical settings. The predominant mode of CPOE in Taiwan is free text entry (FTE). Dynamic structured data entry (DSDE) was introduced more recently, and has increasingly drawn attention from hospitals across Taiwan. This study assesses how DSDE compares to FTE for CPOE., Methods: A quasi-experimental study was employed to investigate the time-savings, productivity, and efficiency effects of DSDE in an outpatient setting in the gynecological department of a major hospital in Taiwan. Trained female actor patients were employed in trials of both entry methods. Data were submitted to Shapiro-Wilk and Shapiro-Francia tests to assess normality, and then to paired t-tests to assess differences between DSDE and FTE., Results: Relative to FTE, the use of DSDE resulted in an average of 97% time saved and 55% more abundant and detailed content in medical records. In addition, for each clause entry in a medical record, the time saved is 133% for DSDE compared to FTE., Conclusion: The results suggest that DSDE is a much more efficient and productive entry method for clinicians in hospital outpatient settings. Upgrading eMR systems to the DSDE format would benefit both patients and clinicians.

Objectives: To determine the impact on routine glycated hemoglobin (A1C) laboratory test completion of incorporating an autopend laboratory order functionality into clinical decision support, which (1) routed provider alerts to a separate electronic folder, (2) automatically populated preauthorization forms, and (3) linked the timing and content of electronic patient health maintenance topic (HMT) reminders to the provider authorization., Study Design: Observational pre-post study from November 2011 (1 year before autopend) through June 2014 (1.5 years after)., Methods: The study included HMT reminders concerning an A1C test for patients with type 1 or type 2 diabetes (N = 15,630 HMT reminders; 8792 patients) in a large multispecialty ambulatory healthcare system. A Cox proportional hazard model, adjusted for patient and provider demographics, estimated the likelihood of laboratory test completion based on 3 HMT reminder characteristics: preautopend versus postautopend period, read versus unread, and the patient's time to reading., Results: In the postautopend period, the median time for patients to read reminders decreased (1 vs 3 days; P <.001) and the median time to complete laboratory tests decreased (40 vs 48 days; P <.001). Comparing preautopend HMT reminders with a similar time to reading, the likelihood of A1C laboratory test completion increased after autopend by between 21.1% (hazard ratio [HR], 1.211; P = .050), when time to reading was 57 days, and 33.9% (HR, 1.339; P = .003), when time to reading was 0 days. This result included 68% of the reminders. There was no statistical difference in A1C laboratory test completion for unread reminders in the preautopend versus postautopend period., Conclusions: Automated patient-centered decision support can improve guideline-concordant monitoring of A1C among patients with diabetes, particularly among patients who read reminders in a timely fashion.

Intravenous (IV) insulin infusions using a validated protocol are the recommended method for blood glucose control in critically ill patients. Computerized decision-support tools improve quality over manual paper-based protocols. However, nonproprietary computerized tools targeting the recommended blood glucose range of 140-180 mg/dL are not readily available. A bedside computerized decision-support tool was developed at a US Department of Veterans Affairs health system to assist the nursing staff with the management of patients requiring IV insulin infusion. Initial evaluation showed that the tool was useful in the safe and effective management of an IV insulin infusion protocol for blood glucose control targeting the updated blood glucose range., (Copyright © 2018 The Joint Commission. Published by Elsevier Inc. All rights reserved.)

As part of an enterprise-wide rollout of a new EHR, Intermountain Healthcare is investing significant effort in building a central library of best-practice order sets. As part of this effort, we have built analytics tools that can capture and determine actionable opportunities for change to order set templates, as reflected by aggregate user data. In order to determine the acceptability of this system and set meaningful thresholds for actual use, we extracted recommendations for additions, removals, and change in initial order selection status for a series of thirteen order sets. We asked local clinical experts to review the changes and classify them as acceptable or not. In total, the system identified 362 potential changes in the order set templates and 186 were deemed acceptable. While further enhancement will co sharpen the efficacy of the intervention, we expect that this type of utility will provide useful insight for content owners.

Background Healthcare budgets face constraints, and laboratories have developed strategies to adapt to the concomitant increase in workload. Some of the tests (7.4%) may be attributed to unnecessary repeat testing. Electronic gatekeeping has been implemented at selected laboratories in South Africa to limit unnecessary repeat testing. We performed a study of chemistry tests subjected to electronic gatekeeping to determine its effectiveness as a sustainable demand management tool. Methods A 22-month retrospective study of chemistry test requests at a Pretoria hospital was performed. Tests violating electronic gatekeeping rules were rejected upon registration before analysis, and cost-savings were estimated from electronic gatekeeping-held tests. The impact of electronic gatekeeping on the test requesting pattern of clinicians was derived from the percentage cost of electronic gatekeeping-held tests. Results The total savings generated from electronic gatekeeping test rejections amounted to $84,380. Greatest savings were generated from high-cost tests: glycated haemoglobin ($14,139), urea ($8661) and thyroid-stimulating hormone ($7514). The average number of electronic gatekeeping-held tests as a percentage of their total requested number over 22 months was 3.18%. Discussion The savings from electronic gatekeeping-held tests were not as dramatic as anticipated, but were modest and may have some impact in a cost-constrained setting. Electronic gatekeeping was concluded not to have a substantial effect on the clinician test requesting pattern, demonstrated by the largely unchanged monthly percentage of electronic gatekeeping-held tests. As a solitary demand management strategy, electronic gatekeeping does not appear to be as effective as anticipated or as demonstrated in other studies.

Background: Laboratory testing is an important clinical act with a valuable role in screening, diagnosis, management and monitoring of diseases or therapies. However, inappropriate laboratory test ordering is frequent, burdening health care spending and negatively influencing quality of care. Inappropriate tests may also result in false-positive results and potentially cause excessive downstream activities. Clinical decision support systems (CDSSs) have shown promising results to influence the test-ordering behaviour of physicians and to improve appropriateness. Order sets, a form of CDSS where a limited set of evidence-based tests are proposed for a series of indications, integrated in a computerised physician order entry (CPOE) have been shown to be effective in reducing the volume of ordered laboratory tests but convincing evidence that they influence appropriateness is lacking. The aim of this study is to evaluate the effect of order sets on the quality and quantity of laboratory test orders by physicians. We also aim to evaluate the effect of order sets on diagnostic error and explore the effect on downstream or cascade activities., Methods: We will conduct a cluster randomised controlled trial in Belgian primary care practices. The study is powered to measure two outcomes. We will primarily measure the influence of our CDSS on the appropriateness of laboratory test ordering. Additionally, we will also measure the influence on diagnostic error. We will also explore the effects of our intervention on cascade activities due to altered results of inappropriate tests., Discussion: We have designed a study that should be able to demonstrate whether the CDSS aimed at diagnostic testing is not only able to influence appropriateness but also safe with respect to diagnostic error. These findings will influence a lager, nationwide implementation of this CDSS., Trial Registration: ClinicalTrials.gov, NCT02950142 .

Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or hydrocephalus (HMH) at non-contrast material-enhanced head computed tomographic (CT) examinations and to determine algorithm performance for detection of suspected acute infarct (SAI). Materials and Methods This HIPAA-compliant retrospective study was completed after institutional review board approval. A training and validation dataset of noncontrast-enhanced head CT examinations that comprised 100 examinations of HMH, 22 of SAI, and 124 of noncritical findings was obtained resulting in 2583 representative images. Examinations were processed by using a convolutional neural network (deep learning) using two different window and level configurations (brain window and stroke window). AI algorithm performance was tested on a separate dataset containing 50 examinations with HMH findings, 15 with SAI findings, and 35 with noncritical findings. Results Final algorithm performance for HMH showed 90% (45 of 50) sensitivity (95% confidence interval [CI]: 78%, 97%) and 85% (68 of 80) specificity (95% CI: 76%, 92%), with area under the receiver operating characteristic curve (AUC) of 0.91 with the brain window. For SAI, the best performance was achieved with the stroke window showing 62% (13 of 21) sensitivity (95% CI: 38%, 82%) and 96% (27 of 28) specificity (95% CI: 82%, 100%), with AUC of 0.81. Conclusion AI using deep learning demonstrates promise for detecting critical findings at noncontrast-enhanced head CT. A dedicated algorithm was required to detect SAI. Detection of SAI showed lower sensitivity in comparison to detection of HMH, but showed reasonable performance. Findings support further investigation of the algorithm in a controlled and prospective clinical setting to determine whether it can independently screen noncontrast-enhanced head CT examinations and notify the interpreting radiologist of critical findings. © RSNA, 2017 Online supplemental material is available for this article.

Chorioamnionitis is an intra-amniotic infection with serious maternal and neonatal complications. Clinical studies suggest antibiotic administration before delivery reduces the risk of complications compared to after delivery. Our center implemented a standardized intrapartum gentamicin computerized provider order entry and dosage form dispensing system intended to improve treatment initiation efficiency in hospitalized obstetric patients. The primary objective of this retrospective study was to determine if these system changes were associated with decreased time from gentamicin ordering to administration in patients with chorioamnionitis. A secondary objective was to compare clinical outcomes before and after system changes. Classification and regression tree (CART) analyses was applied to identify key predictors. Results demonstrated a trend towards reduced time to administration in the post-implementation group. Clinical outcomes were not altered. CART analysis revealed that post-implementation assignment and length of membrane rupture predicted shorter time to gentamicin initiation. This study suggests that the specific system changes we implemented were safe and improved efficiency, but additional changes are needed to have a clinically significant impact.

The reduction of medication errors is largely dependent upon the structure of the medication management system and the role of the pharmacist in the acute care setting. The significance of this claim became evident in an ethnographic study of nurses' work in which data were generated from extensive observations, formal interviews, and document reviews. Each step of medication management-from ordering to administering-was microanalyzed, and spaces and places for error emerged. Results revealed medication errors defined by proximity to the patient. Pharmacists became a surprising "stop-gap" between the physicians and patients in the recognition and interception of medication errors occurring far removed from the bedside and did not formally support the reporting of these errors. Understanding the complexity of this process and the roles of involved personnel reminds us that there is presently no fool-proof plan for the reduction of medication errors and implies a culture of safety remains elusive.

Objective: To explore and understand approaches to user engagement through investigating the range of ways in which health care workers and organizations accommodated the introduction of computerized physician order entry (CPOE) and computerized decision support (CDS) for hospital prescribing., Study Setting: Six hospitals in England, United Kingdom., Study Design: Qualitative case study., Data Collection: We undertook qualitative semi-structured interviews, non-participant observations of meetings and system use, and collected organizational documents over three time periods from six hospitals. Thematic analysis was initially undertaken within individual cases, followed by cross-case comparisons., Findings: We conducted 173 interviews, conducted 24 observations, and collected 17 documents between 2011 and 2015. We found that perceived individual and safety benefits among different user groups tended to facilitate engagement in some, while other less engaged groups developed resistance and unsanctioned workarounds if systems were perceived to be inadequate. We identified both the opportunity and need for sustained engagement across user groups around system enhancement (e.g., through customizing software) and the development of user competencies and effective use., Conclusions: There is an urgent need to move away from an episodic view of engagement focused on the preimplementation phase, to more continuous holistic attempts to engage with and respond to end-users., (© Health Research and Educational Trust.)

In this report, we describe 2 instances in which expert use of an electronic health record (EHR) system interfaced to an external clinical laboratory information system led to unintended consequences wherein 2 patients failed to have laboratory tests drawn in a timely manner. In both events, user actions combined with the lack of an acknowledgment message describing the order cancellation from the external clinical system were the root causes. In 1 case, rapid, near-simultaneous order entry was the culprit; in the second, astute order management by a clinician, unaware of the lack of proper 2-way interface messaging from the external clinical system, led to the confusion. Although testing had shown that the laboratory system would cancel duplicate laboratory orders, it was thought that duplicate alerting in the new order entry system would prevent such events., (© The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Objective: To provide ICU clinicians with evidence-based guidance on safe medication use practices for the critically ill., Data Sources: PubMed, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, Scopus, and ISI Web of Science for relevant material to December 2015., Study Selection: Based on three key components: 1) environment and patients, 2) the medication use process, and 3) the patient safety surveillance system. The committee collectively developed Population, Intervention, Comparator, Outcome questions and quality of evidence statements pertaining to medication errors and adverse drug events addressing the key components. A total of 34 Population, Intervention, Comparator, Outcome questions, five quality of evidence statements, and one commentary on disclosure was developed., Data Extraction: Subcommittee members were assigned selected Population, Intervention, Comparator, Outcome questions or quality of evidence statements. Subcommittee members completed their Grading of Recommendations Assessment, Development, and Evaluation of the question with his/her quality of evidence assessment and proposed strength of recommendation, then the draft was reviewed by the relevant subcommittee. The subcommittee collectively reviewed the evidence profiles for each question they developed. After the draft was discussed and approved by the entire committee, then the document was circulated among all members for voting on the quality of evidence and strength of recommendation., Data Synthesis: The committee followed the principles of the Grading of Recommendations Assessment, Development, and Evaluation system to determine quality of evidence and strength of recommendations., Conclusions: This guideline evaluates the ICU environment as a risk for medication-related events and the environmental changes that are possible to improve safe medication use. Prevention strategies for medication-related events are reviewed by medication use process node (prescribing, distribution, administration, monitoring). Detailed considerations to an active surveillance system that includes reporting, identification, and evaluation are discussed. Also, highlighted is the need for future research for safe medication practices that is specific to critically ill patients.

Purpose The purpose of this paper is to reduce inappropriate non-steroidal anti-inflammatory prescribing in primary care patients with chronic kidney disease (CKD). Once diagnosed, CKD management involves delaying progression to end stage renal failure and preventing complications. It is well established that non-steroidal anti-inflammatories have a negative effect on kidney function and consequently, all nephrology consensus groups suggest avoiding this drug class in CKD. Design/methodology/approach The sampling criteria included all practice patients with a known CKD risk factor. This group was refined to include those with an estimated glomerular filtration rate (eGFR)<60 ml/min per 1.73m2 (stage 3 CKD or greater). Phase one analysed how many prescriptions had occurred in this group over the preceding three months. The intervention involved creating an automated alert on at risk patient records if non-steroidal anti-inflammatories were prescribed and discussing the rationale with practice staff. The re-audit phase occurred three months' post intervention. Findings The study revealed 728/7,500 (9.7 per cent) patients at risk from CKD and 158 (2.1 per cent) who were subsequently found to have an eGFR<60 ml/min, indicating=stage 3 CKD. In phase one, 10.2 per cent of at risk patients had received a non-steroidal anti-inflammatory prescription in the preceding three months. Additionally, 6.2 per cent had received non-steroidal anti-inflammatories on repeat prescription. Phase two post intervention revealed a significant 75 per cent reduction in the total non-steroidal anti-inflammatories prescribed and a 90 per cent reduction in repeat non-steroidal anti-inflammatory prescriptions in those with CKD. Originality/value The study significantly reduced non-steroidal anti-inflammatory prescription in those with CKD in primary care settings. It also created a CKD register within the practice and an enduring medication alert system for individuals that risk nephrotoxic non-steroidal anti-inflammatory prescription. It established a safe, reliable and efficient process for reducing morbidity and mortality, improving quality of life and limiting the CKD associated health burden.

Background: The cost and risks of red blood cell (RBC) transfusions, along with evidence of overuse, suggest that improving transfusion practices is a key opportunity for health systems to improve both the quality and value of patient care. Previous work, which included a BestPractice Advisory (BPA), was adapted in a quality improvement project designed to reduce both exposure to unnecessary blood products and costs., Methods: A prospective, pre-post study was conducted at an academic medical center with a diverse patient population. All noninfant inpatients without gastrointestinal bleeding who were not within 12 hours of surgical procedures were included. The interventions were education, a BPA, and other enhancements to the computerized provider order entry system., Results: The percentage of multiunit (≥ 2 units) RBC transfusions decreased from 59.9% to 41.7% during the intervention period and to 19.7% postintervention (p < 0.0001). The percentage of inpatient RBC transfusion units administered for hemoglobin (Hb) ≥ 7 g/dL declined from 72.3% to 57.8% during the intervention period and to 38.0% for the postintervention period (p < 0.0001). The overall rate of inpatient RBC transfusion (units administered per 1,000 patient-days without exclusions) decreased from 89.8 to 78.1 during the intervention period and to 72.7 during the postintervention period (p <0.0001). The estimated annual cost savings was $1,050,750., Conclusion: The interventions reduced multiunit transfusions (by 67.1%) and transfusions for Hb ≥ 7 g/dL (by 47.4%). The improvement in the overall transfusion rate (19.0%) was less marked, limited by better baseline performance relative to other centers., (Copyright © 2017 The Joint Commission. Published by Elsevier Inc. All rights reserved.)

Current literature does not consistently show a benefit to providing medication cost information to inpatient health care prescribers. This study assessed the effectiveness of computerized provider order entry alerts that displayed the cost of a high-cost medication alongside a lower cost alternative, targeting 3 high-cost medications. Medication utilization during the one year prior to the intervention was compared to usage in the year after implementation. Reduced utilization of high-cost medications was found when comparing pre to post. Ipratropium hydrofluoroalkane and fluticasone hydrofluoroalkane metered dose inhaler utilization were reduced by 29% and 62%, respectively ( P < .001 for both). A 71% decrease in intravenous chlorothiazide was observed ( P < .001); however, its effect was unable to be separated from implementation of a heart failure diuretic protocol during the study period. Overall, these results suggest computerized medication cost alerts that recommend a lower cost therapeutic alternative are effective in changing prescribing practices.

Background: The purpose of this study was to evaluate the impact of computerized provider order entry subcutaneous insulin order sets on inpatient glycemic control and ordering behavior., Methods: This was an interrupted time series study of non-intensive care patients at an urban teaching hospital. The primary outcome was proportion of capillary blood glucose in optimal range (4.0-10.0 mmol/L [72-180 mg/dL]) during the 6 months before and after a change to a computerized provider order entry-integrated insulin order set. Secondary outcomes included other measures of glycemia (hyperglycemia [>13.9mmol/L (250 mg/dL)], hypoglycemia [<4.0 mmol/L (72 mg/dL)], severe hypoglycemia [<2.2 mmol/L (40 mg/dL)]) and ordering behavior (use of basal-bolus-correctional insulin regimens). Comparisons of sensitivity-based versus generic correctional scale were also conducted., Results: A total of 63,393 measurements were obtained from June 2011 to June 2012. Order set usage was limited (51.5%). The weekly proportion of capillary blood glucose within the optimal range was not significantly different after the switch to computerized provider order entry order sets (pre-period: 64.9% vs post-period: 65.3%, P = .996). There were no differences in the proportions of moderate or severe hyperglycemia (pre-period: 10.9% vs post-period: 12.0%, P = .061) and hypoglycemia (pre-period: 1.9% vs post-period: 1.6%, P = .144). However, an increased proportion within the optimal range was seen in those with an order set featuring a sensitivity-based correctional scale versus orders without (65.3% vs 55.0%, P <.001). Increased basal-bolus-correctional ordering was observed after protocol implementation (20.3% vs 23.6%, P <.0001)., Conclusions: With low institutional uptake, computerized insulin order sets did not improve inpatient glycemic control., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: Overuse of clinical laboratory testing in the inpatient setting is a common problem. The objective of this project was to develop an inexpensive and easily implemented intervention to promote rational laboratory use without compromising resident education or patient care., Methods: The study comprised of a cluster-randomized, controlled trial to assess the impact of a multifaceted intervention of education, guideline development, elimination of recurring laboratory orders, unbundling of laboratory panels, and redesign of the daily progress note on laboratory test ordering. The population included all patients hospitalized "general medicine" was duplicated during 2 consecutive months on a general medicine teaching service within a 999-bed tertiary care hospital in Boston, Massachusetts. The primary outcome was the total number of commonly used laboratory tests per patient day during 2 months in 2008. Secondary outcomes included a subgroup analysis of each individual test per patient day, adverse events, and resident and nursing satisfaction., Results: A total of 5392 patient days were captured. The intervention produced a 9% decrease in aggregate laboratory use (rate ratio, 0.91; P = .021; 95% confidence interval, 0.84-0.98). Six instances of delayed diagnosis of acute kidney injury and 11 near misses were reported in the intervention arm., Conclusions: A bundled educational and administrative intervention promoting rational ordering of laboratory tests on a single academic general medicine service led to a modest but significant decrease in laboratory use. To our knowledge, this was the first study to examine the daily progress note as a tool to limit excessive test ordering. Unadjudicated near misses and possible harm were reported with this intervention. This finding warrants further study., (Copyright © 2016 Elsevier Inc. All rights reserved.)

The purpose of this systematic review was to identify features and effects of information technology (IT)-based interventions on outcomes related to drug-drug interactions (DDI outcomes). A literature search was conducted in Medline, EMBASE, and the Cochrane Library for published English-language studies. Studies were included if a main outcome was related to DDIs, the intervention involved an IT-based system, and the study design was experimental or observational with controls. Study characteristics, including features and effects of IT-based interventions, were extracted. Nineteen studies comprising five randomized controlled trials (RCT), five non-randomized controlled trials (NRCT) and nine observational studies with controls (OWC) were included. Sixty-four percent of prescriber-directed interventions, and all non-prescriber interventions, were effective. Each of the following characteristics corresponded to groups of studies of which a majority were effective: automatic provision of recommendations within the providers' workflow, intervention at the time of decision-making, integration into other systems, and requiring the reason for not following the recommendations. Only two studies measured clinical outcomes: an RCT that showed no significant improvement and an OWC that showed improvement, but did not statistically assess the effect. Most studies that measured surrogate outcomes (e.g. potential DDIs) and other outcomes (e.g. adherence to alerts) showed improvements. IT-based interventions improve surrogate clinical outcomes and adherence to DDI alerts. However, there is lack of robust evidence about their effectiveness on clinical outcomes. It is recommended that researchers consider the identified features of effective interventions in the design of interventions and evaluate the effectiveness on DDI outcomes, particularly clinical outcomes.

While healthcare entities have integrated various forms of health information technology (HIT) into their systems due to claims of increased quality and decreased costs, as well as various incentives, there is little available information about which applications of HIT are actually the most beneficial and efficient. In this study, we aim to assist administrators in understanding the characteristics of top performing hospitals. We utilized data from the Health Information and Management Systems Society and the Center for Medicare and Medicaid to assess 1039 hospitals. Inputs considered were full time equivalents, hospital size, and technology inputs. Technology inputs included personal health records (PHR), electronic medical records (EMRs), computerized physician order entry systems (CPOEs), and electronic access to diagnostic results. Output variables were measures of quality, hospital readmission and mortality rate. The analysis was conducted in a two-stage methodology: Data Envelopment Analysis (DEA) and Automatic Interaction Detector Analysis (AID), decision tree regression (DTreg). Overall, we found that electronic access to diagnostic results systems was the most influential technological characteristics; however organizational characteristics were more important than technological inputs. Hospitals that had the highest levels of quality indicated no excess in the use of technology input, averaging one use of a technology component. This study indicates that prudent consideration of organizational characteristics and technology is needed before investing in innovative programs.

Background: Displaying radiation exposure and cost information at electronic order entry may encourage clinicians to consider the value of diagnostic imaging., Methods: An urban safety-net health system displayed radiation exposure information for CT and cost information for CT, MRI and ultrasound on an electronic referral system for outpatient ordering. We assessed whether there were differences in numbers of outpatient CT scans and MRIs per month relative to ultrasounds before and after the intervention, and evaluated primary care clinicians' responses to the intervention., Results: There were 23 171 outpatient CTs, 15 052 MRIs and 43 266 ultrasounds from 2011 to 2014. The ratio of CTs to ultrasounds decreased by 15% (95% CI 9% to 21%), from 58.2 to 49.6 CTs per 100 ultrasounds; the ratio of MRIs to ultrasounds declined by 13% (95% CI 7% to 19%), from 37.5 to 32.5 per 100. Of 300 invited, 190 (63%) completed the web-based survey in 17 clinics. 154 (81%) noticed the radiation exposure information and 158 (83.2%) noticed the cost information. Clinicians believed radiation exposure information was more influential than cost information: when unsure clinically about ordering a test (radiation=69.7%; cost=46.4%), when a patient wanted a test not clinically indicated (radiation=77.5%; cost=54.8%), when they had a choice between imaging modalities (radiation=77.9%; cost=66.6%), in patient care discussions (radiation=71.9%; cost=43.2%) and in trainee discussions (radiation=56.5%; cost=53.7%). Resident physicians and nurse practitioners were more likely to report that the cost information influenced them (p<0.05)., Conclusions: Displaying radiation exposure and cost information at order entry may improve clinician awareness about diagnostic imaging safety risks and costs. More clinicians reported the radiation information influenced their clinical practice., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)

Background The availability of clinical information and a pertinent clinical question can improve the diagnostic accuracy of the imaging process. Purpose To examine if an electronic request form forcing referring clinicians to provide separate input of both clinical information and a clinical question can improve the quality of the request. Material and Methods A total of 607 request forms in the clinical worklists for a computed tomography (CT) scan of the thorax, the abdomen or their combination, were examined. Using software of our own making, we examined the presence of clinical information and a clinical question before and after the introduction of a new, more compelling order method. We scored and compared the quality of the clinical information and the clinical question between the two systems and we examined the effect on productivity. Results Both clinical information and a clinical question were present in 76.7% of cases under the old system and in 95.3% under the new system ( P < 0.001). Individual characteristics of the clinical information and the clinical question however, with the exception of incompleteness, showed little improvement under the new system. There was also no significant difference between the two systems in the number of requests requiring further search. Conclusion The introduction of electronic radiology request forms compelling referring clinicians to provide separate input of clinical information and a clinical question provides only limited benefit to the quality of the request. Raising awareness among clinicians of the importance of a well-written request remains essential.

In April 2015, Oregon Health & Science University (OHSU) deployed a web-based, electronic medical record-embedded application created by third party vendor Vynca Inc. to allow real-time education, and completion of Physician Orders for Life Sustaining Treatment (POLST). Forms are automatically linked to the Epic Systems™ electronic health record (EHR) patient header and submitted to a state Registry, improving efficiency, accuracy, and rapid access to and retrieval of these important medical orders. POLST Forms, implemented in Oregon in 1992, are standardized portable medical orders used to document patient treatment goals for end-of-life care. In 2009, Oregon developed the first POLST-only statewide registry with a legislative mandate requiring POLST form signers to register the form unless the patient opts out. The Registry offers 24/7 emergency access to POLST Forms for Emergency Medical Services, Emergency Departments, and Acute Care Units. Because POLST is intended for those nearing end of life, immediate access to these forms at the time of an emergency is critical. Delays in registering a POLST Form may result in unwanted treatment if the paper form is not immediately available. An electronic POLST Form completion system (ePOLST) was implemented to support direct Registry submission. Other benefits of the system include single-sign-on, transmission of HL7 data for patient demographics and other relevant information, elimination of potential errors in form completion using internalized logic, built-in real-time video and text-based education materials for both patients and health care professionals, and mobile linkage for signature capture.

Background: While drug-related problems are among the most frequent adverse events in health care, little is known about their type and prevalence in home care in the current literature. The use of a Critical Incident Reporting System (CIRS), known as an economic and efficient tool to record medication errors for subsequent analysis, is widely implemented in inpatient care, but less established in ambulatory care. Recommendations on a possible format are scarce. A manual CIRS was developed based on the literature and subsequently piloted and implemented in a Swiss home care organization. Aim: The aim of this work was to implement a critical incident reporting system specifically for medication safety in home care. Results: The final CIRS form was well accepted among staff. Requiring limited resources, it allowed preliminary identification and trending of medication errors in home care. The most frequent error reports addressed medication preparation at the patients’ home, encompassing the following errors: omission (30 %), wrong dose (17.5 %) and wrong time (15 %). The most frequent underlying causes were related to working conditions (37.9 %), lacking attention (68.2 %), time pressure (22.7 %) and interruptions by patients (9.1 %). Conclusions: A manual CIRS allowed efficient data collection and subsequent analysis of medication errors in order to plan future interventions for improvement of medication safety. The development of an electronic CIRS would allow a reduction of the expenditure of time regarding data collection and analysis. In addition, it would favour the development of a national CIRS network among home care institutions.

To establish a process for the development of a prioritization tool for a clinical decision support build within a computerized provider order entry system and concurrently to prioritize alerts for Saint Luke's Health System. The process of prioritizing clinical decision support alerts included (a) consensus sessions to establish a prioritization process and identify clinical decision support alerts through a modified Delphi process and (b) a clinical decision support survey to validate the results. All members of our health system's physician quality organization, Saint Luke's Care as well as clinicians, administrators, and pharmacy staff throughout Saint Luke's Health System, were invited to participate in this confidential survey. The consensus sessions yielded a prioritization process through alert contextualization and associated Likert-type scales. Utilizing this process, the clinical decision support survey polled the opinions of 850 clinicians with a 64.7 percent response rate. Three of the top rated alerts were approved for the pre-implementation build at Saint Luke's Health System: Acute Myocardial Infarction Core Measure Sets, Deep Vein Thrombosis Prophylaxis within 4 h, and Criteria for Sepsis. This study establishes a process for developing a prioritization tool for a clinical decision support build within a computerized provider order entry system that may be applicable to similar institutions., (© The Author(s) 2015.)