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Showing results for "features".
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1. Mollon B et al. 2009 "Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials." | Digital Healthcare Research
   digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/mollon-b-et-al-2009
   January 01, 2009 - Mollon B et al. 2009 "Features predicting the success of computerized decision support for prescribing … Features predicting the success of computerized decision support for prescribing: a systematic review … Statistical analysis of associations between system features and success of outcomes was planned. … A mean of 17 features per study were mentioned. … A mean of 17 features per study were mentioned."

2. Kawamoto K et al. 2005 "Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success." | Digital Healthcare Research
   digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/kawamoto-k-et-al-2005
   January 01, 2005 - clinical practice using clinical decision support systems: a systematic review of trials to identify features … clinical practice using clinical decision support systems: a systematic review of trials to identify features … [Link] Abstract "Objective: To identify features of clinical decision support systems critical … Multiple logistic regression analysis identified four features as independent predictors of improved … Of 32 systems possessing all four features, 30 (94%) significantly improved clinical practice.

3. Features of virtual reality impact effectiveness of VR pain alleviation therapeutics in pediatric burn patients: A randomized clinical trial. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/randomized-clinical-trial-smartphone-virtual-reality-pain-management-during/citation/features
   January 01, 2024 - Features of virtual reality impact effectiveness of VR pain alleviation therapeutics in pediatric burn … Features of virtual reality impact effectiveness of VR pain alleviation therapeutics in pediatric burn

4. Effective Use of e-Prescribing in Physician Practices and Pharmacies - 2011 | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/effective-use-e-prescribing-physician-practices-and-pharmacies/annual-summary/2011
   January 01, 2011 - Further, even when the features are available, physician practices face barriers to implementing them … Features may be implemented at the practice level, but physicians may not choose to use them. … Project Objective: Explore how e-prescribing features are implemented and used by physicians and … pharmacies with a focus on selected features that have the potential to yield health care quality and … However, physician practices with e-prescribing face challenges using these features effectively.

5. The desktop, or the top of the desk? The relative usefulness of household features for personal health information management. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/vizhome-context-based-health-information-needs-assessment-strategy/citation/desktop
   January 01, 2023 - The relative usefulness of household features for personal health information management. … The relative usefulness of household features for personal health information management.

6. Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis/citation/classification
   January 01, 2023 - diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features … diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features

7. Variability in adolescent portal privacy features: how the unique privacy needs of the adolescent patient create a complex decision-making process. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/improving-healthcare-quality-user-centric-patient-portals/citation/variability
   January 01, 2023 - Variability in adolescent portal privacy features: how the unique privacy needs of the adolescent patient … Variability in adolescent portal privacy features: how the unique privacy needs of the adolescent patient

8. vizHOME: A context-based health information needs assessment strategy - Final Report (pdf file)
   digital.ahrq.gov/sites/default/files/docs/citation/r01hs022548-ponto-final-report-2019.pdf
   January 01, 2019 - These lay participants tagged 52 unique features (compared to the 70 features tagged by the research … Twenty-one features tagged in SP2 were not tagged in SP3; while 3 features were tagged in SP3 that were … people identified similar features, but tended to identify fewer features per home. … sets of five rooms and identified the two most useful features in each room in the CAVE. … Room selection was based on the presence of these segmented features in them.

9. Factors Associated with Emergency Department Return Among COVID-19 Patients - Final Report (pdf file)
   digital.ahrq.gov/sites/default/files/docs/citation/r21hs028563-final-report-galarraga-2023.pdf
   January 01, 2023 - derived from clinical documents, and a combination of all features. … The highest ROCAUC for the primary data was 0.659 for a model trained on clinical EHR data features … only, followed by all features (0.651), the bag-of-words model (0.611), and the BERT embeddings model … , 18 were vital sign-based features, and 3 were historical utilization patterns. … *p-value ≤ .05 Table 3: Summarizes NLP features associated with ED return.

10. Effective Use of e-Prescribing in Physician Practices and Pharmacies - 2010 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/effective-use-e-prescribing-physician-practices-and-pharmacies/annual-summary/2010
    January 01, 2010 - Limited research on the topic suggests that not all e-prescribing systems have the full range of features … Further, even when the features are available, physician practices face barriers to implementing them … Even when the features are implemented at the practice level, physicians may not use them. … Project Objective: Explore how e-prescribing features are implemented and used by physicians and … pharmacies with a focus on selected features that have the potential to yield health care quality and

11. Enabling Health Care Decisionmaking through the Use of Health Information Technology | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/enabling-health-care-decisionmaking-through-use-health-information-technology
    January 01, 2023 - As part of the literature review, the study team also looked at features that influence the success of … Identify what contextual factors and features influence the implementation and use of electronic knowledge … Fourteen CDSS/KMS features were evaluated for correlation with success of CDSSs/KMSs. … Six new success features were identified: 1) integration with charting or order-entry system; 2) promotion … Three features previously identified as having correlation with success were confirmed: 1) automatic

12. Enhancing Complex Care through an Integrated Care Coordination Information System - 2010 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/enhancing-complex-care-through-integrated-care-coordination-information-system/annual-summary/2010
    January 01, 2010 - Activities: The team completed a joint analysis of transcribed interviews to determine which combination of features … Preferred system functions and features were divided into three groups: features to be added before the … trial start-date, features to be added during the trial, and features for future versions of the software … The features that were designated for development before the trial start-date were developed and implemented … System features include: notifications that alert providers to past emergency room visits and hospitalizations

13. Enabling Health Care Decisionmaking through the Use of Health Information Technology - 2010 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/enabling-health-care-decisionmaking-through-use-health-information-technology/annual-summary/2010
    January 01, 2010 - Of the 14 CDSS features assessed in this review, the meta-analyses identified several new factors and … features that were correlated with the success of CDSS across all endpoints: integration with charting … Three previously identified successful features of CDSS were also confirmed. … Four features of CDSS that correlate with a successful impact of clinical decision support were newly … identified, and three previously identified features were confirmed.

14. Physicians' Experiences Using Commercial E-Prescribing Systems | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/physicians-experiences-using-commercial-e-prescribing-systems
    January 01, 2023 - used, external implementation challenges, and individual clinician preference about using particular features … It was noted that many of the systems being used did not have advanced features needed for additional … Even when systems did have advanced features, many physicians did not use them because of implementation … hurdles, or the perception that these advanced features did not add value.

15. Improving Electronic Health Records Patient Education Materials - 2011 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/improving-electronic-health-records-patient-education-materials/annual-summary/2011
    January 01, 2011 - MGH is leading the review of current EHR patient education capabilities and features. … Abt team will inform EHR vendors and users of their findings on patient education capabilities and features … (Ongoing) Review current EHR patient education capabilities and features. … The project team has also executed the review of current patient education capabilities and features. … MGH completed the review of current EHR patient education capabilities and features.

16. Improving Electronic Health Records Patient Education Materials - 2012 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/improving-electronic-health-records-patient-education-materials/annual-summary/2012
    January 01, 2012 - MGH is leading the review of current EHR patient education capabilities and features. … study team will inform EHR vendors and users of their findings on patient education capabilities and features … (Ongoing)  Review current EHR patient education capabilities and features. … and EHR vendors about the availability of the PEMAT and effective patient education capabilities and features … The report on the review of EHR patient education capabilities and features was completed, and recommendations

17. Zheng K et al. 2009 "An interface-driven analysis of user interactions with an electronic health records system." | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/zheng-k-et-al-2009
    January 01, 2009 - Measurements: Computer-recorded event sequences reflecting the order in which different EHR features … Results: Of 17 main EHR features provided in the system, SPA identified 3 bundled features: "Assessment … Clinicians often accessed these paired features in a bundle together in a continuous sequence. … It has a Web-based user interface and the following features: assessment and plan, retaking blood pressure

18. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs024983-pratap-final-report-2019.pdf
    January 01, 2019 - induced between the features. … Age was categorized into seven distinct features (0 to 27 days: neonatal; 28 days to 12 months: infancy … We determined the optimal feature set as the point at which additional features did not increase the … The top five most important features were extracted for presentation. … The color of each cell in the figure indicates local importance of the selected features, with green

19. Development of a Targeted Patient Portal Intervention to Improve Depression Treatment Adherence, Satisfaction, and Outcomes | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/development-targeted-patient-portal-intervention-improve-depression-treatment
    January 01, 2023 - developed and evaluated ConnectCare, a depression intervention combining depression-specific patient portal features … The specific aims of the research were the following: Identify desired portal features and functions … Integrate interview results to develop portal features and a clinical protocol for ConnectCare.

20. Exploring Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs019792-li-final-report-2014.pdf
    January 01, 2014 - A key aspect of the method was on designing feature extractors that can detect image features appropriate … are similar to the lesion-severity features of the query image, which is achieved by choosing the top … Designing DR-image-specific Image Features Color is a distinguishing characteristic for DR images. … The proposed features were evaluated against some commonly-used features in the medical imaging literature … , such as Gabor features [20] and semantic of neighborhood color moment histogram features (HNM) [21