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281. Carayon P et al. 2009 "Implementation of an electronic health records system in a small clinic: the viewpoint of clinic staff." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/carayon-p-et
     January 01, 2023 - They felt that the EHR system was moderately easy to learn and that the EHR system had moderate capabilities

282. Essential Nurse Documentation: Studying EHR Burden During COVID-19 (ENDBurden) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/essential-nurse-documentation-studying-ehr-burden-during-covid-19-endburden
     January 01, 2023 - This research aims to learn about nurses’ documentation from a data science and informatics perspective

283. Research Centers in Primary Care Practice Based Research and Learning | Digital Healthcare Research
     digital.ahrq.gov/funding-mechanism/research-centers-primary-care-practice-based-research-and-learning
     January 01, 2023 - Research Centers in Primary Care Practice Based Research and Learning Use of an electronic health record clinical decision support tool to improve antibiotic prescribing for acute respiratory infections: the ABX-TRIP study. Citation Litvin CB, Ornstein SM, Wessell AM, et al. U…

284. A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/longitudinal-machine-learning-approach-providing-clinicians-timely-detection
     September 30, 2023 - A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide Project Description Research Story The use of a risk-prediction tool for both suicide ideation and suicide attempt using data visualization to show risk over time ha…

285. Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care
     January 01, 2024 - Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction Project Description Publications Research Story Developing artificial intelligence-based health information technol…

286. National Center for Pediatric Practice-Based Research and Learning | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/national-center-pediatric-practice-based-research-and-learning
     January 01, 2023 - National Center for Pediatric Practice-Based Research and Learning Project Final Report ( PDF , 502.95 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily represent the v…

287. Understanding CancelRx: Impact on Clinical Workflows, Medication Safety Risks, and Patient Outcomes – Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs026584-pitts-final-report-2022.pdf
     January 01, 2022 - outcome at the pharmacy of medication discontinuation in the EHR would allow users to learn … This would allow users to learn the function of the system and confirm that the intended outcome has … visibility of the outcome at the pharmacy of medication discontinuation in the EHR would allow users to learn

288. The Patient-Centered Clinical Decision Support Learning Network: Improving the Dissemination of PCOR in Patient-Centered Clinical Decision Support - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/u18hs024849-blumenfeld-final-report-2020.pdf
     January 01, 2020 - They provided a platform for a large number of diverse attendees to convene and learn from each other

289. EnhanCed HandOffs (ECHO) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhanced-handoffs-echo
     January 01, 2024 - EnhanCed HandOffs (ECHO) Project Description Publications Research Story Implementing a machine learning-augmented sociotechnical intervention for postoperative handoffs is expected to improve interdisciplinary team communication, enhance patient safety, and creat…

290. Sikora, Andrea | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/sikora-andrea
     January 01, 2024 - Sikora, Andrea Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. Citation Sikora A, Jeong H, Yu M, Chen X, Murray B, Kamaleswaran R. Cluster analysis driven by unsupervised latent fea…

291. Improving Safety in Postoperative Handoff Communication with Telemedicine and Machine Learning | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/improving-safety-postoperative-handoff-communication-telemedicine
     January 01, 2023 - Improving Safety in Postoperative Handoff Communication with Telemedicine and Machine Learning Theme: Optimizing Care Delivery for Clinicians Subtheme: Using Digital Healthcare Tools to Improve Patient Safety Implementing a postoperative handoff intervention augmented with telemedicine an…

292. digital-healthcare-innovations-engage-empower-slides-10112023 (pdf file)
     digital.ahrq.gov/sites/default/files/docs/digital-healthcare-innovations-engage-empower-slides-10112023.pdf
     October 11, 2023 - • Data collected through wearables can promote the opportunity to reflect, discuss, and learn from … • Stick to the topic and actively listen to others. 47 What Did We Learn? … Videos Helped Rules of the Road Are Important What Did We Learn?

293. Synthesizing Lessons Learned Using Health Information Technology | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/synthesizing-lessons-learned-using-health-information-technology
     January 01, 2023 - Synthesizing Lessons Learned Using Health Information Technology Project Final Report ( PDF , 182.32 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily represent the vie…

294. Lessons Learned, Successes, and Barriers | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/ahrq-funded-project-resources-archives/lessons-learned-successes-and
     January 01, 2023 - Lessons Learned, Successes, and Barriers Description A project/sunset review summarizes the challenges, solutions, and lessons of a recently completed project. This review pertains to a project that standardized pressure ulcer data elements and electronic documentation used by long term care clinical …

295. Building and maintaining trust in clinical decision support: Recommendations from the Patient‐Centered CDS Learning Network. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/patient-centered-outcomes-research-clinical-decision-support-learning-network/citation/building
     January 01, 2023 - Building and maintaining trust in clinical decision support: Recommendations from the Patient‐Centered CDS Learning Network. Citation Richardson JE, Middleton B, Platt JE, et al. Building and maintaining trust in clinical decision support: Recommendations from the Patient‐Centered CDS Learning Network…

296. Using Machine Learning for Military Service Members and Veterans at Risk for Suicide | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/using-machine-learning-military-service-members-and-veterans-risk
     January 01, 2023 - Using Machine Learning for Military Service Members and Veterans at Risk for Suicide Theme: Optimizing Care Delivery for Clinicians Subtheme: Leveraging Machine Learning to Assess Risk The use of a risk-prediction tool for both suicide ideation and suicide attempt has the potential to allo…

297. Use of Artificial Intelligence and Machine Learning to Improve Care by Critical Care Pharmacists | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/use-artificial-intelligence-and-machine-learning-improve-care
     January 01, 2023 - Use of Artificial Intelligence and Machine Learning to Improve Care by Critical Care Pharmacists Theme: Supporting Health Systems in Advancing Care Delivery Subtheme: Using Digital Healthcare Tools to Improve Patient Safety Using machine learning- and artificial intelligence-developed tool…

298. Journal Publication | Digital Healthcare Research
     digital.ahrq.gov/document-type/journal-publication
     January 01, 2025 - Learn Health Syst. 2024 Aug 12;8(4):e10446. doi: 10.1002/lrh2.10446.

299. Learning from Primary Care Meaningful Use Exemplars - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/learning-primary-care-meaningful-use-exemplars/final-report
     January 01, 2023 - Learning from Primary Care Meaningful Use Exemplars - Final Report Citation Ornstein, S. Learning from Primary Care Meaningful Use Exemplars - Final Report. (Prepared by the Medical University of South Carolina under Grant No. R18 HS022701). Rockville, MD: Agency for Healthcare Research and Quality, 2…

300. Research Centers in Primary Care Practice Based Research and Learning - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/research-centers-primary-care-practice-based-research-and-learning/final-report
     January 01, 2023 - Research Centers in Primary Care Practice Based Research and Learning - Final Report Citation Ornstein S. Research Centers in Primary Care Practice Based Research and Learning - Final Report. (Prepared by the Medical University of South Carolina under Grant No. P30 HS021678). Rockville, MD: Agency for…