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341. McGinley, Marisa | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/mcginley-marisa
     January 01, 2023 - Description This research will develop, validate, and evaluate a decision support tool using a machine learning

342. "Meaningful" clinical quality measures for primary care physicians. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/learning-primary-care-meaningful-use-exemplars/citation/meaningful-clinical
     January 01, 2023 - www.ncbi.nlm.nih.gov/pubmed/26619060 Principal Investigator Ornstein, Steven Project Name Learning

343. Chronic Care Needs | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/chronic-care-needs
     January 01, 2023 - Proficiency and Complex Care Needs Description This research will test and validate a machine learning

344. A Novel Patient-Facing Mobile Platform to Collect and Implement Patient-Reported Outcomes and Voice Biomarkers in Underserved Adult Patients with Asthma | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/novel-patient-facing-mobile-platform-collect-and-implement-patient-reported
     April 01, 2023 - Project Dates 04/01/2023 - 03/31/2028 Technology Artificial Intelligence Machine Learning … This technology uses machine learning to assess respiratory dysfunction, including asthma, based on a … The voice biomarker technology uses machine learning to assess respiratory dysfunction, including asthma

345. Military Hospital | Digital Healthcare Research
     digital.ahrq.gov/care-setting/military-hospital
     January 01, 2023 - Military Hospital A Longitudinal Machine Learning Approach Providing

346. Practice-based quality improvement/research networks: full speed forward. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/national-center-pediatric-practice-based-research-and-learning/citation/quality
     January 01, 2023 - Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning

347. Gao, Xiaotian | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/gao-xiaotian
     January 01, 2023 - Gao, Xiaotian A Longitudinal Machine Learning Approach Providing Clinicians

348. Preliminary analysis of the impact of lab results on large language model generated differential diagnoses. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/labgenie-patient-engagement-tool-aid-older-adults-understanding-lab-test/citation/preliminary
     January 01, 2025 - Adults' Understanding of Lab Test Results Technology Artificial Intelligence Machine Learning

349. Military Service Member | Digital Healthcare Research
     digital.ahrq.gov/population/military-service-member
     January 01, 2023 - Military Service Member A Longitudinal Machine Learning Approach Providing

350. USA, IL, Urbana | Digital Healthcare Research
     digital.ahrq.gov/location/usa-il-urbana
     January 01, 2023 - USA, IL, Urbana A Longitudinal Machine Learning Approach Providing Clinicians

351. USA, ME, Augusta | Digital Healthcare Research
     digital.ahrq.gov/location/usa-me-augusta
     January 01, 2023 - Implemented an outpatient EMR in a rural health system using distinct phases to match the expected learning

352. Chiu, Chung-Yi | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/chiu-chung-yi
     January 01, 2023 - Chiu, Chung-Yi A Longitudinal Machine Learning Approach Providing Clinicians

353. Systematic Review | Digital Healthcare Research
     digital.ahrq.gov/research-method/systematic-review
     January 01, 2024 - Cognitive Behavioral Therapy for Insomnia in Hispanic Primary Care Patients Machine learning-augmented … Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis

354. Public Health Reporting System | Digital Healthcare Research
     digital.ahrq.gov/technology/public-health-reporting-system
     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

355. Automated analysis of diabetic retinopathy images: principles, recent developments, and emerging trends. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis/citation/analysis-diabetic-retinopathy-images
     January 01, 2023 - Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis Technology Machine Learning

356. Evaluation of critical care pharmacist evening services at an academic medical center. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/evaluation
     January 01, 2024 - pubmed.ncbi.nlm.nih.gov/38450349/ Principal Investigator Sikora, Andrea Project Name Machine Learning

357. A shared e-decision support portal for pediatric asthma. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/national-center-pediatric-practice-based-research-and-learning/citation/shared
     January 01, 2023 - Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning

358. 30th anniversary of pediatric research in Office Settings (PROS): an invitation to become engaged. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/national-center-pediatric-practice-based-research-and-learning/citation/anniversary
     January 01, 2023 - Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning

359. Early identification of patients with acute decompensated heart failure. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-heart-failure-care/citation/early
     January 01, 2023 - Project Name Health Information Technology in Heart Failure Care Technology Machine Learning

360. Chen, Jin | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/chen-jin
     January 01, 2023 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning