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361. Computer Automated Developmental Surveillance and Screening | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/computer-automated-developmental-surveillance-and-screening
     January 01, 2023 - Support System Population: Children , Infants , Minority Populations , Physician Machine learning … Machine learning techniques for prediction of early childhood obesity. … Patient-tailored prioritization for a pediatric care decision support system through machine learning … Patient-tailored prioritization for a pediatric care decision support system through machine learning

362. Renal (Kidney) Disease | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/renal-kidney-disease
     January 01, 2023 - Renal (Kidney) Disease Machine-Learning Prediction Model for Personalized … Infection Care in Children Description The study will develop and implement a validated machine learning

363. 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

364. Past Initiatives | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/past-initiatives
     January 01, 2023 - The EDM Forum facilitates learning and collaboration among researchers and other key stakeholders who … are generating the data, methods, and the knowledge needed to build learning health systems that will

365. Specialty Care | Digital Healthcare Research
     digital.ahrq.gov/type-care/specialty-care
     January 01, 2023 - Principal Investigator(s) McCulloch, Michael Porter, Michael An Age-Friendly Learning … Description This research will develop, validate, and evaluate a decision support tool using a machine learning

366. 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

367. 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

368. 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.

369. Singh, Hardeep | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/singh-hardeep
     January 01, 2023 - Clinical Work of Test Result Followup in Health Information Technology Settings Learning … Learning from patients' experiences related to diagnostic errors is essential for progress in patient

370. A National Conference on the Role of Health IT to Improve Medication Management - Slides (pdf file)
     digital.ahrq.gov/sites/default/files/docs/improve-medication-management-slides-091318.pdf
     September 27, 2018 - aloud by the moderator. 4 Learning … Explain the benefits and challenges for using reinforcement learning-guided text messaging to impact … Objective Apply artificial intelligence (AI) methods, specifically reinforcement learning (RL; one … Figure 1: Model System Using Reinforcement Learning to Affect Reasons for Medication Non-Adherence … Learning Objectives.

371. 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

372. AHRQ Understanding and Improving Diagnostic Safety in Ambulatory Care: Incidence and Contributing Factors (R01) | Digital Healthcare Research
     digital.ahrq.gov/funding-mechanism/understanding-and-improving-diagnostic-safety-ambulatory-care-incidence-and
     January 01, 2023 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning

373. Advancing motivational interviewing training with artificial intelligence: ReadMI. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/real-time-assessment-dialogue-motivational-interviewing-training-readmi/citation/advancing
     January 01, 2023 - Motivational Interviewing Training (ReadMI) Technology Artificial Intelligence Machine Learning

374. 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

375. Imputing missing covariates in time-to-event analysis within distributed research networks: A simulation study. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-missing-data-analysis-distributed-research-networks/citation/imputing
     January 01, 2023 - Improving Missing Data Analysis in Distributed Research Networks Technology Machine Learning

376. 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

377. 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

378. 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

379. Parent-reported outcomes of a shared decision-making portal in asthma: a practice-based RCT. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/national-center-pediatric-practice-based-research-and-learning/citation/parent
     January 01, 2023 - Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning

380. Changing patterns of alpha agonist medication use in children and adolescents 2009-2011. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/national-center-pediatric-practice-based-research-and-learning/citation/changing
     January 01, 2023 - Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning