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461. Synthesizing Lessons Learned Using Health Information Technology - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/synthesizing-lessons-learned-using-health-information-technology/annual-summary/2011
     January 01, 2011 - from the individual study, using "immersion and crystallization," will allow new interpretations and learning … established internal validity and four practices provided evidence to support that this model adds to the learning

462. Synthesizing Lessons Learned Using Health Information Technology - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/synthesizing-lessons-learned-using-health-information-technology/annual-summary/2012
     January 01, 2012 - separate from the individual study, using “immersion and crystallization,” allowed new interpretations and learning … The 134 primary care practices participating in PPRNet research studies established a collaborative learning

463. HopScore: an Electronic Outcomes-Based Emergency Triage System - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/hopscore-electronic-outcomes-based-emergency-triage-system/final-report
     January 01, 2023 - Clinical Decision Support System Electronic Health Record/Electronic Medical Record Machine Learning

464. USA, AL, Birmingham | Digital Healthcare Research
     digital.ahrq.gov/location/usa-al-birmingham
     January 01, 2023 - Mitigate Emergency Department Overcrowding Problems Description This research will use deep learning

465. Multiple Sclerosis | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/multiple-sclerosis
     January 01, 2023 - Description This research will develop, validate, and evaluate a decision support tool using a machine learning

466. USA, OH, Cleveland | Digital Healthcare Research
     digital.ahrq.gov/location/usa-oh-cleveland
     January 01, 2023 - Description This research will develop, validate, and evaluate a decision support tool using a machine learning

467. Improving Diabetes and Depression Self-management Via Adaptive Mobile Messaging - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-diabetes-and-depression-self-management-adaptive-mobile-messaging/final-report
     January 01, 2023 - Self-Management Via Adaptive Mobile Messaging Technology Artificial Intelligence Machine Learning

468. TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in ARDS - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/treat-ecards-translating-evidence-action-electronic-clinical-decision-support/final-report
     January 01, 2023 - Technology Artificial Intelligence Clinical Decision Support System Dashboard Machine Learning

469. Developing Evidence-Based, User-Centered Design and Implementation Guidelines to Improve Health Information Technology Usability - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-evidence-based-user-centered-design-and-implementation-guidelines/final-report
     January 01, 2023 - Technology Usability Technology Electronic Health Record/Electronic Medical Record Machine Learning

470. Health Information Technology in Heart Failure Care - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-heart-failure-care/final-report
     January 01, 2023 - Failure Care Technology Artificial Intelligence Clinical Decision Support System Machine Learning

471. Mingle, Daniel | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/mingle-daniel
     January 01, 2023 - Implemented an outpatient EMR in a rural health system using distinct phases to match the expected learning

472. The Anesthesiology Control Tower: Like Air Traffic Control for Operating Rooms | Digital Healthcare Research
     digital.ahrq.gov/2020-year-review/research-summary/anesthesiology-control-tower-air-traffic-control-operating-rooms
     January 01, 2020 - Tower: Feedback Alerts to Supplement Treatments (or ACTFAST) study applied data mining and machine learning … Avidan Integrating ACTFAST into operating rooms improves care Machine learning algorithms for predicting

473. Infectious Disease | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/infectious-disease
     January 01, 2023 - Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning … Description This research uses large language models and machine learning to retrospectively

474. Developing and Evaluating Online Education to Improve Older Adults Health Information | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-and-evaluating-online-education-improve-older-adults-health
     January 01, 2023 - of this project were to: Convene focus groups to identify older adults' preferences for online learning … conducted with 94 community-dwelling adults to determine their health needs and online preferences for learning

475. Maria Michaels, M.B.A., PMP | Digital Healthcare Research
     digital.ahrq.gov/program-overview/our-experts/maria-michaels-mba-pmp
     January 01, 2023 - computable and narrative clinical guidelines, automate data exchange, and support multiple levels of learning

476. Implementation and Dissemination of 'Gabby,' a Health Information Technology System for Young Women, into Community-Based Clinical Sites - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/implementation-and-dissemination-gabby-health-information-technology-system/final-report
     January 01, 2023 - Women, Into Community-Based Clinical Sites Technology Artificial Intelligence Machine Learning

477. Bellamy, Gail | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/bellamy-gail
     January 01, 2023 - the reporting of medical errors and near misses, monitored safety event reporting, and developed a learning

478. An Electronic Health Record-Based Screening Tool to Support Safe Discharges of COVID-19 Patients in the Emergency Department – Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/ehr-based-screening-tool-support-safe-discharges-covid-19-patients-emergency-department/final-report
     January 01, 2023 - Department Technology Artificial Intelligence Clinical Decision Support System Machine Learning

479. Galarraga, Jessica E. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/galarraga-jessica-e
     January 01, 2023 - in the Emergency Department Description This study created, trained, and tested machine learning

480. University Of Arizona | Digital Healthcare Research
     digital.ahrq.gov/organization/university-arizona
     January 01, 2023 - Language Understanding Description This research used natural language processing and machine learning