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381. The impact of risk standardization on variation in CT Use and emergency physician profiling. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/clinical-decision-support-mild-traumatic-brain-injury/citation/impact
     January 01, 2023 - Traumatic Brain Injury Technology Electronic Health Record/Electronic Medical Record Machine Learning

382. Responding to health information technology reported safety events: Insights from patient safety event reports. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-evidence-based-user-centered-design-and-implementation-guidelines/citation/responding
     January 01, 2023 - Implementation Guidelines to Improve Health Information Technology Usability Technology Machine Learning

383. Identifying health information technology related safety event reports from patient safety event report databases. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-evidence-based-user-centered-design-and-implementation-guidelines/citation/identifying
     January 01, 2023 - Implementation Guidelines to Improve Health Information Technology Usability Technology Machine Learning

384. A factored generalized additive model for clinical decision support in the operating room. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast/citation/factored
     January 01, 2023 - ACTFAST) Technology Artificial Intelligence Clinical Decision Support System Machine Learning

385. A text mining approach to categorize patient safety event reports by medication error type. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-patient-safety-and-clinician-cognitive-support-through-emar-redesign/citation/text
     January 01, 2023 - Patient Safety and Clinician Cognitive Support Through eMAR Redesign Technology Machine Learning

386. Development and Evaluation of Socio-Technical Metricsto Inform HIT Adaptation - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024767-yen-final-report-2019.pdf
     January 01, 2019 - One-on-One Learning. … • “blended learning is the most effective. … Tactics that participants cited as least helpful included learning new technology through the use of … emails, over communicating and educational plans that do not incorporate “hands on” learning with new … learning.

387. Project ECHO: Extension for Community Healthcare Outcomes (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/project_echoextension_for_community_healthcare_outcomes_2009_update_2.pdf
     January 01, 2009 - This particular form of case-based learning, called “learning loops,” allow community providers to learn … In these case-based learning clinics, partners rapidly gained deep domain expertise in HCV as they collaborated

388. Promoting Use Of An Integrated Personal Health Record For Prevention 2010 Pdf 2 (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/promoting_use_of_an_integrated_personal_health_record_for_prevention_2010_pdf__2.pdf
     January 01, 2010 - develop guidance on how to integrate MyPreventiveCare into care delivery using practice champions, learning … Study staff will conduct key informant interviews and record and analyze learning collaboratives to … A central learning collaborative for the eight practices was assembled.

389. Public Health Informatics | Digital Healthcare Research
     digital.ahrq.gov/technology/public-health-informatics
     January 01, 2024 - A model of academic-practice collaboration for facilitating informatics capacity and building a learning … A model of academic-practice collaboration for facilitating informatics capacity and building a learning

390. Systematic Review | Digital Healthcare Research
     digital.ahrq.gov/research-method/systematic-review
     January 01, 2024 - Systematic Review Machine learning-augmented interventions in perioperative … Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis

391. Improving Adherence and Outcomes by Artificial Intelligence-Adapted Text Messages - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs022336-farris-final-report-2017.pdf
     January 01, 2017 - Learning by the RL agent was also seen, as the distribution of text messages changed over time. … Key Words: medication adherence; reinforcement learning; hypertension 2 … We propose to apply artificial intelligence (AI) methods, specifically Reinforcement Learning (one type … Demonstrate “learning” by the RL-based system through adaptation of the SMS message stream according … Demonstrate “learning” by the RL-based system through adaptation of the SMS message stream according

392. USA, CA, Berkeley | Digital Healthcare Research
     digital.ahrq.gov/location/usa-ca-berkeley
     January 01, 2023 - Depression Self-Management Via Adaptive Mobile Messaging Description This research used machine learning

393. Mainegeneral Medical Center | Digital Healthcare Research
     digital.ahrq.gov/organization/mainegeneral-medical-center
     January 01, 2023 - Implemented an outpatient EMR in a rural health system using distinct phases to match the expected learning

394. Optimal acute kidney injury algorithm for detecting acute kidney injury at emergency department presentation. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/transforming-kidney-care-emergency-department-using-artificial-intelligence/citation/optimal
     January 01, 2023 - Intelligence-Driven Clinical Decision Support Technology Artificial Intelligence Machine Learning

395. A Theory-Based Patient Portal eLearning Program for Older Adults with Chronic Illnesses - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024739-nahm-final-report-2019.pdf
     January 01, 2019 - T-PeP includes learning modules, moderated discussion boards, and a virtual library. … It also has 25 learning centers throughout the nation.32 The members’ median age is 60 to 70 years, … A new learning module and an accompanying discussion forum opened on the T-PeP website weekly for 3 … Fidelity Monitoring of the Intervention Participants’ use of the learning modules and discussion … Learning about PPs can affect both health-related outcomes and eHealth literacy on technology.

396. Toward an Optimal Patient Safety Information System - 2008 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/toward-optimal-patient-safety-information-system/annual-summary/2008
     January 01, 2008 - systems and to examine the use of health information technology to improve reporting, data analysis, and learning … patient safety ontology for adverse events that would facilitate data mining, knowledge sharing and learning … There are significant differences in whether action was taken as a result of learning about adverse events

397. Social Media | Digital Healthcare Research
     digital.ahrq.gov/technology/social-media
     January 01, 2023 - Enable Meaningful Use of EHR Technology A qualitative study of interprofessional learning … A qualitative study of interprofessional learning related to electronic health record (EHR) medication

398. Annual Conference on Health Information Technology & Analytics (CHITA) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/annual-conference-health-information-technology-analytics-chita
     January 01, 2023 - Clinical Staff/Clinician Decisionmaker IT Staff Researcher Health Care Theme Learning … Topics included the support of a learning health system representing a variety of fields, such as health

399. Levin, Scott R. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/levin-scott-ryan
     January 01, 2023 - HopScore: An Electronic Outcomes-Based Emergency Triage System Machine-learning-based … Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical

400. Lambert, Bruce | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/lambert-bruce
     January 01, 2023 - Project Name Tools for Optimizing Medication Safety (TOP-MEDS) Learning … Learning from errors: analysis of medication order voiding in CPOE systems.