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This study aims to assess the value of a help desk in a Personal Health Record (PHR) for monitoring and improving PHR functionalities and processes. Through analysis of 327 help desk tickets categorized by users as telemedicine and PHR requests, we identified four main gaps: information and feedback, access to clinical documents, usability, and ubiquity. The tickets highlighted end users' needs such as timely feedback, contextual information, effective communication, and ease of access to clinical documentation. These findings were crucial for initiating improvement cycles for various functionalities and processes within the PHR.

This study aimed to analyze early revisits (within 48 hours of discharge) in an Emergency Department. Among the 178,295 visits, 11,686 were revisits, resulting in a rate of 6.55% (95%CI 6.43-6.67). A total of 1,410 revisits required hospitalization, and 252 were due to preventable errors (17.87%). These errors were mainly related to an inadequate therapeutic plan at discharge (47.22%), an incomplete diagnostic process (29.37%), and misdiagnoses (13.10%). These findings represent a technology-enabled clinical audit tool. Electronic Healthcare Records have the potential to: provide quality metrics of hospital performance, help to keep revisit rates updated (assessment through a real-time dashboard), and improve clinical management (by transparency initiatives about errors, and a supportive learning environment regarding lessons learned).

Dermatology is one of the medical fields outside the radiology service that uses image acquisition and analysis in its daily medical practice, mostly through digital dermoscopy imaging modality. The acquisition, transfer, and storage of dermatology images has become an important issue to resolve. We aimed to describe our experience in integrating dermoscopic images into PACS using DICOM as a guide for the health informatics and dermatology community. During 2022 we integrated the video dermoscopy equipment through a strategic plan with an 8-step procedure. We used the DICOM standard with Modality Worklist and Storage commitment. Three systems were involved (video dermoscopy software, the EHR, and PACS). We identified critical steps and faced many challenges, such as the lack of a final model of DICOM standard for dermatology images.

The aging of the population and the increase in chronic diseases generated the need for care at home for pluripathological patients, who can no longer access outpatient care due to functional and social problems. The use of Electronic Medical Records (EMR) improves continuity of care, simplifies data collection, decreases overhead costs, and reduces mortality in chronically ill patients. The use of an App to check and record data in the EMR during the home visit saves time for professionals and helps to avoid transcription errors. This article shares our experience with the design and implementation of a Mobile Application with EMR functionalities for the Homecare setting of the Hospital Italiano de Buenos Aires network.

WHO and UNICEF highlight vaccination as the most cost-effective method of prevention of infectious diseases. An effective public health strategy requires efficient tracking of vaccination to assess coverage, safety, and efficacy of these vaccines. Paper-based immunization records are still being used in most low and middle-income countries. Adequate Electronic Logistic Management Information Systems, Immunization Registries and Records are crucial for proper data collection and analysis, and for making better decisions at an individual and at a population level. In this paper we share our experience in the redesign of an interoperable immunization record to track vaccination, including the recently developed vaccines for the novel coronavirus SARS-CoV-2 (COVID-19).

Computerized Provider Order Entry (CPOE) systems may cause unintended consequences. This study aimed to describe the on-going system for CPOE order sets, and to explore an economic evaluation at the Emergency Department. First, we developed a costs dashboard which showed us the significant and excessive use of medical tests per consultation. We identified the top 10 most widely used and most expensive tests. Additionally we noticed that the labs seemed to continually increase. Then, we found that 27% of the consultations have at least one item of laboratory practice between January and February 2020, and this represents more than 80% of the consultation costs. Health care spending has reached epic proportions globally. We think that it is time to rethink effective strategies. Maybe it is time to deactivate/remove electronic order sets (EOSs) and the functionality to develop and create their own "private" order sets, in order to eliminate waste and inefficiencies.

Electronic Health Records offer an opportunity to improve patient care (in terms of quality and/or safety) by making available patient health information stored in a single Clinical Data Repository. We aimed to estimate the frequency of hypoglycemic recurrences in hospitalized adult patients in non-critical areas. We designed a cross sectional study with hospitalizations between 2017 and 2018, which included patients with at least one hypoglycemia health record (defined as a value <70 mg/dL, either by capillary glycemic monitoring or serum measurement). Recurrence was defined as those who presented a second event, with at least 2 hours of difference. We included 1884 patients, and 573 presented recurrences, yielding a global prevalence of 30.41% (95%CI 28.34-32.54). Due to the high frequency, it is important to identify vulnerable populations, to implement preventive measures to assist clinicians for decision-making tasks, as a clinical decision support system.

A Chatbot or Conversational Agent is a computer application that simulates the conversation with a human person (by text or voice), giving automated responses to people's needs. In the healthcare domain, chatbots can be beneficial to help patients, as a complement to care by health personnel, especially in times of high demand or constrained resources such as the COVID-19 Pandemic. In this paper we share the design and implementation of a healthcare chatbot called Tana at the Hospital Italiano de Buenos Aires. Considering best practices and being aware of possible unintended consequences, we must take advantage of information and communication technologies, such as chatbots, to analyze and promote useful conversations for the health of all people.

Clinical Decision Support Systems can alert health professionals about drug interactions when they prescribe medications. The Hospital Italiano de Buenos Aires in Argentina developed an electronic health record with drug-drug interaction alerts, using traditional software engineering techniques and requirements. Despite enhancing the drug-drug interaction knowledge database, the alert override rate of this system was very high. We redesigned the alert system using user-centered design (UCD) and participatory design techniques to enhance the drug-drug interaction alert interface. This paper describes the methodology of our UCD. We used crossover method with realistic, clinical vignettes to compare usability of the standard and new software versions in terms of efficiency, effectiveness, and user satisfaction. Our study showed that, compared to the traditional alert system, the UCD alert system was more efficient (alerts faster resolution), more effective (tasks completed with fewer errors), and more satisfying. These results indicate that UCD techniques that follow ISO 9241-210 can generate more usable alerts than traditional design., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Decision support systems can alert physicians to the existence of drug interactions. The Hospital Italiano de Buenos Aires, Argentina, has an in-house electronic health record with computerized physician order entry and clinical decision support. It includes a drug-drug interaction alert system, initially developed under traditional engineering techniques. As we detected a high alert override rate, we rebuilt the knowledge database and redesigned the alert interface with User-Centered Design techniques. A laboratory crossover study using clinical vignettes showed that new alerts were more usable than traditional ones.This paper aimed to validate these results through a controlled and randomized experimental study with two branches (old vs. new design) in a real setting. We analyzed, quantitatively, every fired alert between April 2015 and September 2016. Finally, we performed user surveys and qualitative interviews to inquire about their satisfaction and perceptions.In real scenarios, user-centered design alerts were more usable, being more effective and satisfactory, but less efficient than traditional alerts. "Safe omission", as a new concept, emerged from our stratified analyses and interviews.

Among adverse events related to medication errors, the defects in parenteral nutrition administration pose a special threat to patient safety. Two high impact strategies to reduce these errors require implementing a Computerized Provider Order Entry and the use of bedside bar-code verification prior to medication administration. In this study, we share the deep field analysis of the current workflow performed to include inpatient bedside barcoding verification for parenteral nutrition administration in a large academic health center. Then, we propose a process optimization and a new parenteral nutrition ordering tool embedded in the prescription module. Structuring physicians' ordering and the bar-code verification of administration can increase patient safety. The next steps would involve the creation of a Clinical Decision Support System to improve patient nutrient goals.

The infobuttons allows the solving of information needs. In our study, the use of Infobuttons is described, analyzing the number of queries to UpToDate® from the problem list of an Electronic Health Record. There were 26419 requests in 8 months. The highest average use occurred in June. The links to knowledge bases can help to solve information needs, even before they occur.

Background: The optimal blood pressure (BP) for treating acute intracerebral hemorrhage remains (ICH) uncertain. High BP may contribute to hematoma growth while excessive BP reduction might precipitate peri-hemorrhage ischemia. We examine here the feasibility and safety of reducing BP to lower than presently recommended levels in patients with acute ICH., Methods: Patients with ICH were prospectively randomized to standard BP treatment (mean arterial BP [MAP] 110-130 mmHg) or aggressive BP lowering (MAP < 110 mmHg) within 8 h of symptom onset. MAP was managed during the 48 h treatment period. NIHSS was obtained at baseline, 24, and 48 h. Brain CT was done 24 h after symptoms. A modified Rankin Scale (mRs) was obtained at 90 days. A clinical decline (NIHSS drop > or = 2 points) within the first 48 h was the primary endpoint. Hematoma enlargement at 24 h was a secondary endpoint., Results: We enrolled 21 patients into each group. Mean age was 60.6 +/- 12.3 years and MAP on presentation was 147.6 +/- 18.2 mmHg. Treatment was started on average 3.2 +/- 2.2 h after symptom onset. Baseline clinical variables were identical between the 2 treatment groups. Target blood pressure was achieved within 87.1 +/- 59.6 min in the standard group and 163.5 +/- 163.8 min in the aggressive BP treatment group. There were no significant differences in early neurological deterioration, hematoma and edema growth, and clinical outcome at 90 days., Conclusion: A more aggressive reduction of acute hypertension after ICH does not increase the rate of neurological deterioration even when treatment is initiated within hours of symptom onset. Lowering BP aggressively did not affect hematoma and edema expansion but this possibility deserves further study.

Background: This study examines the relationship between social network and hospital readmission and mortality in older patients with heart failure., Methods and Results: Prospective study conducted with 371 patients, age 65 and older, admitted for heart failure-related emergencies at 4 Spanish hospitals. Social network was measured at baseline with a 4-item questionnaire that ascertained whether subjects were married, lived with another person(s), saw or had telephone contact with family members daily or almost daily, and were at home alone for less than 2 hours per day. Social network was deemed "high" where all 4 items were present, "moderate" where 3 were present, and "low" where 2 or fewer were present. Analyses were performed using Cox models, and adjusted for the main confounders. A total of 55% of patients had high or moderate social networks. During a median follow-up of 6.5 months, 135 (36.4%) patients underwent a first emergency rehospitalization and 68 (18.3%) died. Compared with patients with high social network, hospital readmission was more frequent among those who had moderate (hazard ratio [HR] 1.87; 95% confidence interval [CI] 1.06-3.29; P < .05) and low social networks (HR 1.98; 95% CI 1.07-3.68; P < .05). This relationship showed a positive dose-response (p for linear trend 0.042). The magnitude of this association was comparable to that of other important predictors of readmission, such as previous hospitalization. No relationship was observed between social network and death., Conclusion: A very simple questionnaire measuring social network can identify patients with a higher short-term risk of hospital readmission.