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301. Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-emr-based-real-time-sepsis-alert-system-performance-through-machine/final-report
     January 01, 2023 - Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report Citation Sherwin R. Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report. (Prepared by Wayne State University under Grant No. R21 HS024750). Rock…

302. 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.

303. AHRQ’s Digital Healthcare Research Program: Milestones and Achievements | Digital Healthcare Research
     digital.ahrq.gov/dhr-20/ahrq-digital-healthcare-research-program-milestones-achievements
     January 01, 2023 - We invite you to explore the detailed timeline below to learn more about the significant contributions

304. 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?

305. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/machine
     January 01, 2023 - Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. Citation Sikora A, Zhao B, Kong Y, Murray B, Shen Y. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. medRxiv [Preprint]. 202…

306. Nemeth, Lynne | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/nemeth-lynne
     January 01, 2023 - Nemeth, Lynne Synthesizing Lessons Learned Using Health Information Technology - Final Report Citation Nemeth L. Synthesizing Lessons Learned Using Health Information Technology - Final Report. (Prepared by the Medical University of South Carolina under Grant No. R03 HS018830)…

307. Exploring Clinically-relevant Image Retrieval for Diabetic Retinopahty Diagnosis - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis/annual-summary/2012
     January 01, 2012 - The team solicited feedback from an ophthalmologist to learn about the end-user’s experience with the

308. Project ECHO: Extension for Community Healthcare Outcomes - 2008 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/project-echo-extension-community-healthcare-outcomes/annual-summary/2008
     January 01, 2008 - This particular form of case-based learning, called “learning loops,” allow community providers to learn

309. Case Study: Developing a State Medicaid Health IT Plan (SMHP): Lessons Learned From Oklahoma Medicaid | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medicaid-and-chip/case-study-developing-state-medicaid-health-it-plan-smhp
     January 01, 2023 - Case Study: Developing a State Medicaid Health IT Plan (SMHP): Lessons Learned From Oklahoma Medicaid Case Study Developing a State Medicaid Health IT Plan (SMHP): Lessons Learned From Oklahoma Medicaid Prepared for: Agency for Healthcare Research and Quality U.S. Document Case Study: Developi…

310. Secure Messaging in a Pediatric Respiratory Medicine Setting - 2009 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/secure-messaging-pediatric-respiratory-medicine-setting/annual-summary/2009
     January 01, 2009 - Interviews with patients and guardians who did use the secure messaging system were conducted to learn

311. Using Health Information Technology to Improve Delivery of HPV Vaccine - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/using-health-information-technology-improve-delivery-hpv-vaccine/annual-summary/2011
     January 01, 2011 - Rand will complete the following education objectives: 1) learn health informatics theory and be able

312. Case Study: Developing an Electronic Prescribing Incentive Program: Lessons Learned from New York Medicaid | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medicaid-and-chip/case-study-developing-electronic-prescribing-incentive
     January 01, 2023 - Case Study: Developing an Electronic Prescribing Incentive Program: Lessons Learned from New York Medicaid Case Study Developing an Electronic Prescribing Incentive Pr ogram: Lessons Learned From New York Medicaid Prepared for: Agency for Healthcare Research and Quality U.S. Department Document …

313. Exploring Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/r21hs019792-li-annual-summary-2012.pdf
     January 01, 2012 - The team solicited feedback from an ophthalmologist to learn about the end-user’s experience with the

314. Case Study: Leveraging Existing Leadership to Support Health IT and HIE: Lessons Learned from Minnesota’s Medical Assistance Program | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medicaid-and-chip/case-study-leveraging-existing-leadership-support-health-it
     January 01, 2023 - Case Study: Leveraging Existing Leadership to Support Health IT and HIE: Lessons Learned from Minnesota’s Medical Assistance Program Case Study Leveraging Existing Leadership to Support Health IT and HIE: Lessons Learned From Minnesota’s Medical Assistance Program Prepared for: Agency for Healthcare Resea…

315. Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhanced-handoffs-echo/citation/machine
     January 01, 2024 - Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis. Citation Mehta D, Gonzalez XT, Huang G, Abraham J. Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis. Br J Anaesth. 2024 Dec;133(6):1159-1172. doi:…

316. Blumenfeld, Barry H. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/blumenfeld-barry-h
     January 01, 2023 - Blumenfeld, Barry H. A Stakeholder-driven Action Plan for Improving Pain Management, Opioid Use and Opioid Use Disorder Treatment Through Patient-Centered Clinical Decision Support. Citation Osheroff JA, Blumenfeld BH, Richardson JE, Lasater B and the Opioid Action Plan Worki…

317. Artificial Intelligence | Digital Healthcare Research
     digital.ahrq.gov/technology/artificial-intelligence
     January 01, 2024 - Artificial Intelligence Assessing the Effects of EHR Optimization Interventions in Primary Care Description This research evaluates the adoption and impact of three electronic health record-optimization interventions—scribes, advanced team-based inbox management, and artificia…

318. Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/cluster
     January 01, 2023 - 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 feature learning of medications to identify…

319. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/unsupervised
     January 01, 2023 - Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. Citation Keats K, Deng S, Chen X, Zhang T, Devlin JW, Murphy DJ, Smith SE, Murray B, Kamaleswaran R, Sikora A. Unsupervised machine learning analysis to identify patterns of ICU medication …

320. The Give Teens Vaccines Study - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/give-teens-vaccines-study/activity/give-teens-vaccines-study/annual-summary/2010
     January 01, 2010 - project team conducted a pilot study involving interviews with 20 parent-clinician-adolescent triads, to learn