11 results on '"Decision Making, Computer-Assisted"'
Search Results
2. Hacia una normalización de la representación de flujogramas en el ámbito hospitalario.
- Author
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Ramos Merino, Mateo, Santos Gago, Juan M., and Álvarez Sabucedo, Luis M.
- Abstract
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- 2019
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3. Using Therapeutic Circles to Visualize Guideline-Based Therapeutic Recommendations for Patients with Multiple Chronic Conditions: A Case Study with GO-DSS on Hypertension, Type 2 Diabetes, and Dyslipidemia.
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Séroussi, Brigitte, Galopin, Alexandre, Gaouar, Mouhssin, Pereira, Suzanne, and Bouaud, Jacques
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Clinical decision support systems (CDSSs) have proven to potentially improve the compliance of physician decisions with clinical practice guidelines (CPGs). However, actual patients suffer from multiple conditions and CPGs that are usually single-disease-focused provide disease-specific recommendations with no support on how to manage adverse interactions between the recommended treatments. We have developed GO-DSS, a CDSS that implements an ontological reasoning process to perform CPG reconciliation. GO-DSS is applied to the concurrent management of hypertension, type 2 diabetes, and dyslipidemia. We proposed an innovative graphical interface to display medication recommendations as "therapeutic circles". A qualitative evaluation of the system and of this graphical layout has been performed on simulated patient cases by a sample of 12 users with various backgrounds (think aloud method). The resulting usability of the system is highly appreciated with a mean rating of 90.7% according to the standardized System Usability Scale. [ABSTRACT FROM AUTHOR]
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- 2017
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4. Online recognition of surgical instruments by information fusion.
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Neumuth, Thomas and Meißner, Christian
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Purpose: Automatic online recognition of surgical instruments is required to monitor instrument use for surgical process modeling. A system was developed and tested using available technologies. Methods: A recognition system was developed using RFID technology to identify surgical activities. Information fusion for online recognition of surgical process models was conceived as a layer model to abstract information from specific sensor technologies. Redundant, complementary, and cooperative sensor signal fusion was used in the layer model to increase the surgical instrument recognition rate. Several different information fusion strategies were evaluated for situation recognition abilities in a mock-up environment based on simulations of surgical processes. Results: This information fusion system was able to reliably detect, identify, and localize surgical instruments in an interventional suite. A combination of information fusion strategies was able to achieve a correct classification rate of 97% and was as effective as observer-based acquisition methods. Conclusion: Different information fusion strategies for the recognition of surgical instruments were evaluated, showing that redundant, complementary, and cooperative information fusion is feasible for recognition of surgical work steps. A combination of sensor- and observer-based modeling strategies provides the most robust solution for surgical process models. [ABSTRACT FROM AUTHOR]
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- 2012
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5. Detection of potential drug interactions – a model for a national pharmacy register.
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Åstrand, Bengt, Åstrand, Emelie, Antonov, Karolina, and Petersson, Göran
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DRUGSTORES ,DRUG interactions ,DRUG utilization ,DRUG therapy ,HUMAN beings ,DRUG prescribing - Abstract
The widespread use of pharmaceuticals prescribed by different physicians has caused the Swedish government to propose a new legislation with registration of all prescriptions dispensed at the Swedish pharmacies. In the present study, we wanted to examine the frequency, distribution and determinants of potential drug interactions. The prescriptions from all individuals ( n=8,214) with two or more prescriptions during October 2003 to December 2004 were collected from the ongoing Jämtland cohort study of a total of about 11,000 individuals. Potential drug–drug interactions were detected with a computerized interaction detection system and classified according to clinical relevance (types A–D). On average each individual filled 14.6 (men 14.3, women 14.8) prescriptions during the study period. 3.6% of the individuals used more than 15 different drugs. The number of detected potential drug interactions type A–D was 4,941 (men 1,949, women 2,992). The risk of receiving a potential interaction type A–D was estimated as the cumulative incidence 0.26 (2,116/8,214) overall, 0.22 (748/3,467) for men and 0.29 (1,368/4,747) for women during the 15-month study period. The age adjusted risk, RR
adj , for women was estimated as 1.30. Excluding sex hormones and modulators of the genital system, the RRadj was 0.96, with no elevated risk for women. For potential interactions type D, that might have serious clinical consequences, 167 (cumulative incidence 0.0203) individuals (72 men, cumulative incidence 0.0208, 95 women cumulative incidence 0.0200) were detected. The risk of receiving a combination of potentially interacting drugs was positively correlated to age and polypharmacy. The cumulative incidence for elderly was estimated as 0.36 (65–84 years) and 0.39 (85 years and above). The relative risk for individuals with 15 drugs or more was estimated as 3.67 (95% CI 3.46–3.90). In a general population there were relatively few severe potential drug interactions. The new Swedish national pharmacy register will provide health care professionals with a powerful tool to systematically review all prescriptions. An alert system should focus on the more potential drug interactions, type C–D, with close monitoring of elderly and patients with polypharmacy. [ABSTRACT FROM AUTHOR]- Published
- 2006
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6. A Randomized Outpatient Trial of a Decision-Support Information Technology Tool.
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Apkon, Michael, Mattera, Jennifer A., Lin, Zhenqiu, Herrin, Jeph, Bradley, Elizabeth H., Carbone, Michael, Holmboe, Eric S., Gross, Cary P., Selter, Jared G., Rich, Amy S., and Krumholz, Harlan M.
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OUTPATIENT medical care ,MEDICAL care ,PRIMARY care ,DECISION support systems ,ARTIFICIAL intelligence in medicine ,MEDICAL informatics ,CLINICAL medicine - Abstract
Background Decision-support information technology is often adopted to improve clinical decision making, but it is rarely rigorously evaluated. Congress mandated the evaluation of Problem-Knowledge Couplers (PKC Corp, Burlington, Vt), a decision-support tool proposed for the Department of Defense’s new health information network. Methods This was a patient-level randomized trial conducted at 2 military practices. A total of 936 patients were allocated to the intervention group and 966 to usual care. Couplers were applied before routine ambulatory clinic visits. The primary outcome was quality of care, which was assessed based on the total percentage of any of 24 health care quality process measures (opportunities to provide evidence-based care) that were fulfilled. Secondary outcomes included medical resources consumed within 60 days of enrollment and patient and provider satisfaction. Results There were 4639 health care opportunities (2374 in the Coupler group and 2265 in the usual-care group), with no difference in the proportion of opportunities fulfilled (33.9% vs 30.7%; P = .12). Although there was a modest improvement in performance on screening/preventive measures, it was offset by poorer performance on some measures of acute care. Coupler patients used more laboratory and pharmacy resources than usual-care patients (logarithmic mean difference, $71). No difference in patient satisfaction was observed between groups, and provider satisfaction was mixed. Conclusion This study provides no strong evidence to support the utility of this decision-support tool, but it demonstrates the value of rigorous evaluation of decision-support information technology. [ABSTRACT FROM AUTHOR]
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- 2005
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7. Impact of Virtual Tumor Resection and Computer-Assisted Risk Analysis on Operation Planning and Intraoperative Strategy in Major Hepatic Resection.
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Lang, Hauke, Radtke, Arnold, Hindennach, Milo, Schroeder, Tobias, Frühauf, Nils R., Malagó, Massimo, Bourquain, Holger, Peitgen, Heinz-Otto, Oldhafer, Karl J., and Broelsch, Christoph E.
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LIVER surgery ,HEPATECTOMY ,SURGICAL excision ,TUMOR surgery ,OPERATIVE surgery ,COMPUTER software - Abstract
Hypothesis Currently, standard planning for hepatic resection is based on the schematic description of the functional anatomy of the liver according to Couinaud, and on the evaluation of 2-dimensional computed tomographic imaging of the liver. Recent developments in image-based computer assistance allow patients’ individual functional liver anatomy to be computed from mathematical analysis of standard multidetector computed tomographic scans. An intended resection can be performed virtually under realistic anatomic conditions, and the influence of different resection planes on blood supply and drainage within the remaining liver parenchyma can be calculated by a computer-assisted risk analysis. We evaluated the impact of computer-assisted risk analysis on operation planning for major hepatectomies, in particular on extent of resection or need for vascular reconstruction. Design Prospective cohort study. Setting Academic tertiary care referral center. Patients Twenty-five consecutive patients admitted to the hospital for major hepatectomy, of whom 4 had tumors deemed unresectable by both methods. Interventions Two-dimensional computed tomography was used to calculate the volume of the future liver remnant with the intended resection line manually determined, and then the volume of the future liver remnant was calculated again by computer-assisted risk analysis as the remaining liver volume not being devascularized but having both portal venous blood supply and hepatic venous drainage. Main Outcome Measures The difference between the remaining functional liver volumes calculated by the 2 methods. Results The deviation between liver volumes determined by 2-dimensional computed tomography and by computer-assisted risk analysis was less than 20% in 14 of 21 patients, between 20% and 30% in 3, between 30% and 40% in 2, and 41% and 43% in 1 patient each. The most extensive deviations were found in extended left hepatectomy or when left hepatectomy was combined with additional wedge resection in the right lobe. In 7 cases, all with a deviation greater than 20%, the results of computer-assisted risk analysis led to a change of operation planning with regard to the extent of resection (n = 3) or the need for vascular reconstruction (n = 4), although in 1 of these cases resection was not performed because of peritoneal carcinomatosis. Conclusions Image-based computer assistance allows for areas at risk for devascularization or venous congestion to be identified and precisely calculated before resection. In selected cases with small liver remnants, operation planning may be improved substantially by preoperative computer-assisted risk analysis. [ABSTRACT FROM AUTHOR]
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- 2005
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8. Effect of a computer-based decision aid on knowledge, perceptions, and intentions about genetic testing for breast cancer susceptibility: a randomized controlled trial.
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Green, Michael J., Peterson, Susan K., Baker, Maria Wagner, Harper, Gregory R., Friedman, Lois C., Rubinstein, Wendy S., and Mauger, David T.
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GENETIC counseling ,BREAST cancer risk factors ,PATIENT education ,DECISION making in clinical medicine ,DISEASE susceptibility ,RISK perception ,WOMEN'S education ,COMPUTER software ,BREAST tumors ,COMPARATIVE studies ,DECISION making ,DECISION support systems ,HEALTH attitudes ,RESEARCH methodology ,MEDICAL cooperation ,GENETIC mutation ,PATIENT satisfaction ,RESEARCH ,RESEARCH funding ,STATISTICAL sampling ,PATIENT participation ,GENETIC testing ,EVALUATION research ,RANDOMIZED controlled trials ,BRCA genes ,RELATIVE medical risk - Abstract
Context: As the availability of and demand for genetic testing for hereditary cancers increases in primary care and other clinical settings, alternative or adjunct educational methods to traditional genetic counseling will be needed.Objective: To compare the effectiveness of a computer-based decision aid with standard genetic counseling for educating women about BRCA1 and BRCA2 genetic testing.Design: Randomized controlled trial conducted from May 2000 to September 2002.Setting and Participants: Outpatient clinics offering cancer genetic counseling at 6 US medical centers enrolled 211 women with personal or family histories of breast cancer.Interventions: Standard one-on-one genetic counseling (n = 105) or education by a computer program followed by genetic counseling (n = 106).Main Outcome Measures: Participants' knowledge, risk perception, intention to undergo genetic testing, decisional conflict, satisfaction with decision, anxiety, and satisfaction with the intervention. Counselor group measures were administered at baseline and after counseling. Computer group measures were administered at baseline, after computer use, and after counseling. Testing decisions were assessed at 1 and 6 months. Outcomes were analyzed by high vs low risk of carrying a BRCA1 or BRCA2 mutation.Results: Both groups had comparable demographics, prior computer experience, medical literacy, and baseline knowledge of breast cancer and genetic testing, and both counseling and computer use were rated highly. Knowledge scores increased in both groups (P<.001) regardless of risk status, and change in knowledge was greater in the computer group compared with the counselor group (P =.03) among women at low risk of carrying a mutation. Perception of absolute risk of breast cancer decreased significantly after either intervention among all participants. Intention to undergo testing decreased significantly after either intervention among low-risk but not high-risk women. The counselor group had lower mean scores on a decisional conflict scale (P =.04) and, in low-risk women, higher mean scores on a satisfaction-with-decision scale (P =.001). Mean state anxiety scores were reduced by counseling but were within normal ranges for both groups at baseline and after either intervention, regardless of risk status.Conclusions: An interactive computer program was more effective than standard genetic counseling for increasing knowledge of breast cancer and genetic testing among women at low risk of carrying a BRCA1 or BRCA2 mutation. However, genetic counseling was more effective than the computer at reducing women's anxiety and facilitating more accurate risk perceptions. These results suggest that this computer program has the potential to stand alone as an educational intervention for low-risk women but should be used as a supplement to genetic counseling for those at high risk. [ABSTRACT FROM AUTHOR]- Published
- 2004
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9. Requirements Analysis and Specification for a Molecular Tumor Board Platform Based on cBioPortal.
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Buechner, Philipp, Hinderer, Marc, Unberath, Philipp, Metzger, Patrick, Boeker, Martin, Acker, Till, Haller, Florian, Mack, Elisabeth, Nowak, Daniel, Paret, Claudia, Schanze, Denny, von Bubnoff, Nikolas, Wagner, Sebastian, Busch, Hauke, Boerries, Melanie, and Christoph, Jan
- Subjects
REQUIREMENTS engineering ,UNIVERSITY hospitals ,HOSPITAL surveys ,DECISION support systems - Abstract
Clinicians in molecular tumor boards (MTB) are confronted with a growing amount of genetic high-throughput sequencing data. Today, at German university hospitals, these data are usually handled in complex spreadsheets from which clinicians have to obtain the necessary information. The aim of this work was to gather a comprehensive list of requirements to be met by cBioPortal to support processes in MTBs according to clinical needs. Therefore, oncology experts at nine German university hospitals were surveyed in two rounds of interviews. To generate an interview guideline a scoping review was conducted. For visual support in the second round, screenshot mockups illustrating the requirements from the first round were created. Requirements that cBioPortal already meets were skipped during the second round. In the end, 24 requirements with sometimes several conceivable options were identified and 54 screenshot mockups were created. Some of the identified requirements have already been suggested to the community by other users or are currently being implemented in cBioPortal. This shows, that the results are in line with the needs expressed by various disciplines. According to our findings, cBioPortal has the potential to significantly improve the processes and analyses of an MTB after the implementation of the identified requirements. [ABSTRACT FROM AUTHOR]
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- 2020
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10. A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks.
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Beard, Rachel, Wentz, Elizabeth, and Scotch, Matthew
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PUBLIC health ,MEDICAL informatics ,ZOONOSES ,COMMUNICABLE diseases ,DISEASE outbreaks - Abstract
Background: Zoonotic diseases account for a substantial portion of infectious disease outbreaks and burden on public health programs to maintain surveillance and preventative measures. Taking advantage of new modeling approaches and data sources have become necessary in an interconnected global community. To facilitate data collection, analysis, and decision-making, the number of spatial decision support systems reported in the last 10 years has increased. This systematic review aims to describe characteristics of spatial decision support systems developed to assist public health officials in the management of zoonotic disease outbreaks. Methods: A systematic search of the Google Scholar database was undertaken for published articles written between 2008 and 2018, with no language restriction. A manual search of titles and abstracts using Boolean logic and keyword search terms was undertaken using predefined inclusion and exclusion criteria. Data extraction included items such as spatial database management, visualizations, and report generation. Results: For this review we screened 34 full text articles. Design and reporting quality were assessed, resulting in a final set of 12 articles which were evaluated on proposed interventions and identifying characteristics were described. Multisource data integration, and user centered design were inconsistently applied, though indicated diverse utilization of modeling techniques. Conclusions: The characteristics, data sources, development and modeling techniques implemented in the design of recent SDSS that target zoonotic disease outbreak were described. There are still many challenges to address during the design process to effectively utilize the value of emerging data sources and modeling methods. In the future, development should adhere to comparable standards for functionality and system development such as user input for system requirements, and flexible interfaces to visualize data that exist on different scales. PROSPERO registration number: CRD42018110466. [ABSTRACT FROM AUTHOR]
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- 2018
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11. Impact of Virtual Tumor Resection and Computer-Assisted Risk Analysis on Operation Planning and Intraoperative Strategy in Major Hepatic Resection—Invited Critique.
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Chapman, William C.
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HEPATECTOMY ,LIVER surgery ,SURGERY ,SURGEONS ,MEDICAL imaging systems ,BLOOD flow - Abstract
Comments on an article by Lang et al. which introduces an important innovation for preoperative image analysis before hepatic resection. Technique which defines the functional liver remnant after major hepatectomy on the basis of maintenance of portal venous inflow as well has hepatic venous outflow; Belief that the development of image-guidance techniques in liver surgery may allow liver surgeons to more precisely execute preplanned operative procedures.
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- 2005
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