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Total Results: 1,710 records

Showing results for "learned".

361. The Chronic Care Project (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/uc1hs016154-nashan-final-report-2009.pdf
     January 01, 2009 - Beyond recruitment, the project team learned that involvement of IT specialists from the first Learning

362. Implementation of an Electronic Care Plan for People With Multiple Chronic Conditions (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/ecare-plan-final-report.pdf
     November 01, 2022 - Results and Lessons Learned During the project and the testing period, our multimethod analysis yielded … important lessons learned for each phase of the project, outlined in Table ES-1. … Lessons Learned by Project Phase CFIR Construct Lesson Learned Patient- centeredness User-centered … .............................................................................. 30 5.3 Key Lessons Learned … Conclusion 5.1 Factors 5.2 Limitations 5.3 Key Lessons Learned (EQ5) 5.3.1 Design 5.3.2 Development

363. Patient-Centered Outcomes Research Clinical Decision Support Learning Network - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/patient-centered-outcomes-research-clinical-decision-support-learning-network/final-report
     January 01, 2023 - Patient-Centered Outcomes Research Clinical Decision Support Learning Network - Final Report Citation Blumenfeld B. Patient-Centered Outcomes Research Clinical Decision Support Learning Network - Final Report. (Prepared by RTI International under Grant No. U18 HS024849). Rockville, MD: Agency for Heal…

364. Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning Health Systems - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/customizing-value-based-methods-prioritize-implementation-pharmacogenomic/final-report
     January 01, 2023 - Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning Health Systems - Final Report Citation Devine E. Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning Health Systems …

365. Dexheimer, Judith W. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/dexheimer-judith-w
     October 14, 2020 - Dexheimer, Judith W. Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled trial. Citation Wissel BD, Greiner HM, Glauser TA, Mangano FT, Holland-Bouley KD, Zhang N, Szczesniak RD, Santel D, Pestian JP, Dexheimer JW. Automated, m…

366. An Environmental Scan to Inform the Development of CEDAR (2023) (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/cedar_environmental_scan.pdf
     April 01, 2023 - This material is covered within the Methodology, Section .2 • Industry Insights – Lessons learned from … of the potential users for CEDAR and the use cases that they may engage in, as well as some lessons learned … A summary of the key lessons learned from the 2022 Pilot that should be considered for the context of … For more detailed information about the lessons learned, the final report, CEDAR Final Pilot Report, … B.1 Lessons from the 2022 Pilot Lessons learned from the 2022 pilot of CEDAR with AAFP has been divided

367. Simpson, Kit N. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/simpson-kit-n
     January 01, 2024 - Simpson, Kit N. Patient perceptions of audio-only versus video telehealth visits: A qualitative study among patients in an academic medical center setting. Citation Kruis R, Brown EA, Johnson J, Simpson KN, McElligott J, Harvey J. Patient perceptions of audio-only versus video…

368. Harvey, Jillian Beree | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/harvey-jillian-beree
     January 01, 2024 - Harvey, Jillian Beree Patient perceptions of audio-only versus video telehealth visits: A qualitative study among patients in an academic medical center setting. Citation Kruis R, Brown EA, Johnson J, Simpson KN, McElligott J, Harvey J. Patient perceptions of audio-only versus…

369. Effectiveness of a digital health intervention leveraging reinforcement learning: Results from the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) randomized clinical trial. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-diabetes-and-depression-self-management-adaptive-mobile-messaging/citation/effectiveness
     January 01, 2024 - Effectiveness of a digital health intervention leveraging reinforcement learning: Results from the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) randomized clinical trial. Citation Aguilera A, Arévalo Avalos M, Xu J, Chakraborty B, Figueroa C, Garcia F, Rosales K,…

370. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024988-leroy-final-report-2020.pdf
     January 01, 2020 - the seven scarcest classes, but saw an increase in performance after training with optimal weights learned

371. Predicting self-intercepted medication ordering errors using machine learning. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/etiology-medication-ordering-errors-computerized-provider-order-entry-systems/citation/predicting
     January 01, 2023 - Predicting self-intercepted medication ordering errors using machine learning. Citation King CR, Abraham J, Fritz BA, Cui Z, Galanter W, Chen Y, Kannampallil T. Predicting self-intercepted medication ordering errors using machine learning. PLoS One. 2021 Jul 14;16(7):e0254358. doi: 10.1371/journal.po…

372. AHRQ Patient-Centered Outcomes Research Clinical Decision Support Learning Network (U18) | Digital Healthcare Research
     digital.ahrq.gov/funding-mechanism/ahrq-patient-centered-outcomes-research-clinical-decision-support-learning-network
     January 01, 2023 - AHRQ Patient-Centered Outcomes Research Clinical Decision Support Learning Network (U18) Patient-Centered Outcomes Research Clinical Decision Support Learning Network Description The Patient-Centered Clinical Decision Support Learning Network was created as a multistakeholder …

373. Expanding access to hepatitis C virus treatment—Extension for Community Healthcare Outcomes (ECHO) project: Disruptive innovation in specialty care - Arora - 2010 - Hepatology - Wiley Online Library
     digital.ahrq.gov/sites/default/files/docs/library/full_0.html
     September 01, 2010 - Knowledge from ECHO Clinic to Clinical Care Mean (Standard Deviation) I am able to apply knowledge learned

374. Expanding access to hepatitis C virus treatment—Extension for Community Healthcare Outcomes (ECHO) project: Disruptive innovation in specialty care - Arora - 2010 - Hepatology - Wiley Online Library
     digital.ahrq.gov/sites/default/files/docs/library/full_1.html
     September 01, 2010 - Knowledge from ECHO Clinic to Clinical Care Mean (Standard Deviation) I am able to apply knowledge learned

375. Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical outcomes compared with the emergency severity index. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/hopscore-electronic-outcomes-based-emergency-triage-system/citation/machine-learning
     January 01, 2023 - Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical outcomes compared with the emergency severity index. Citation Levin S, Toerper M, Hamrock E, et al. Machine-learning-based electronic triage more accurately differentiates patients with respect to…

376. Epilepsy | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/epilepsy
     January 01, 2023 - Epilepsy Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled trial. Citation Wissel BD, Greiner HM, Glauser TA, Mangano FT, Holland-Bouley KD, Zhang N, Szczesniak RD, Santel D, Pestian JP, Dexheimer JW. Automated, machine learn…

377. Thompson, Hale M. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/thompson-hale-m
     January 01, 2023 - Thompson, Hale M. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients - Final Report Citation Held M., Thompson H. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV T…

378. Held, Philip | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/held-philip
     January 01, 2023 - Held, Philip A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients - Final Report Citation Held M., Thompson H. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatm…

379. Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning Health Systems | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/customizing-value-based-methods-prioritize-implementation-pharmacogenomic
     January 01, 2023 - Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning Health Systems Project Final Report ( PDF , 818.86 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are re…

380. Building and Implementing a Predictive Decision Support System Based on a Proactive Full Capacity Protocol to Mitigate Emergency Department Overcrowding Problems | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/building-and-implementing-predictive-decision-support-system-based-proactive
     September 29, 2025 - Building and Implementing a Predictive Decision Support System Based on a Proactive Full Capacity Protocol to Mitigate Emergency Department Overcrowding Problems Project Description Publications Using deep learning and predictive analytics, this research has the potential…