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361. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care/citation/learning
     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…

362. 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 …

363. Long-Term Care Facilities Embrace Health Information Technology | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/ahrq-funded-projects/past-initiatives/transforming-healthcare-quality-through-health-it/long-term-care-facilities
     September 29, 2008 - "But even more gratifying was the chance to be part of a partnership, to share with and learn from other

364. Using Health Information Technology to Improve Delivery of HPV Vaccine - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/using-health-information-technology-improve-delivery-hpv-vaccine/annual-summary/2012
     January 01, 2012 - Rand will complete the following education objectives: 1) learn health informatics theory and be able

365. Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis/citation/classification
     January 01, 2023 - Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features. Citation Venkatesan R, Chandakkar P, Li B, et al. Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram featur…

366. AHRQ Webinar - Integrating Patient-Reported Outcomes into Practice: Benefits, Challenges, and Recommendations for Action - Q&As (pdf file)
     digital.ahrq.gov/sites/default/files/docs/integrating-pros-into-practice-qas-02272024.pdf
     February 27, 2024 - QUESTION: Where can we learn more about the PROMOTE study? … But we have more to learn to realize this full potential, and the real costs to patients and health

367. Project ECHO: Extension for Community Healthcare Outcomes (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/project_echoextension_for_community_healthcare_outcomes_2009_update_2.pdf
     January 01, 2009 - This particular form of case-based learning, called “learning loops,” allow community providers to learn

368. Electronic Data Methods Forum (2010-2017) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/past-initiatives/electronic-data-methods-edm-forum
     January 01, 2023 - Electronic Data Methods Forum (2010-2017) The Electronic Data Methods (EDM) Forum was established in 2010 as a cooperative agreement with AHRQ to advance the national dialogue on the use of electronic health data for research and quality improvement. The EDM Forum facilitated learning and co…

369. 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…

370. 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…

371. 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…

372. The Give Teens Vaccines Study (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/the_give_teens_vaccines_study_2010_pdf__2.pdf
     January 01, 2010 - project team conducted a pilot study involving interviews with 20 parent-clinician-adolescent triads, to learn

373. Consumer Engagement in Developing Electronic Health Information Systems (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/consumer_engagement_in_developing_electronic___2009_update_2.pdf
     January 01, 2009 - (Achieved)  Learn how/if consumers wish to be engaged in the development of health IT and at what

374. Secure Messaging in a Pediatric Respiratory Medicine Setting (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/secure_messaging_in_a_pediatric_respiratory_medicine_setting_2009_update_2.pdf
     January 01, 2009 - Interviews with patients and guardians who did use the secure messaging system were conducted to learn

375. Using Health Information Technology to Improve Delivery of HPV Vaccine (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/2011_017951_rand_pdf_3.pdf
     January 01, 2011 - Rand will complete the following education objectives: 1) learn health informatics theory and be able

376. Deep-learning model for predicting 30-day postoperative mortality. | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast/citation/deep
     January 01, 2019 - Deep-learning model for predicting 30-day postoperative mortality. Citation: Fritz BA, Cui Z, Zhang M, He Y, Chen Y, Kronzer A, Ben Abdallah A, King CR, Avidan MS. Deep-learning model for predicting 30-day postoperative mortality. Br J Anaesth. 2019 Nov;123(5):688-695. doi: 10.1016/j.bja.2019.07.025. Epub 2019 …

377. AHRQ-Funded Study Explores the Value of Health Information to Communities | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/ahrq-funded-projects/past-initiatives/transforming-healthcare-quality-through-health-it/ahrq-funded-study-explores
     August 31, 2008 - in mid-stream -- essentially slowing it down and simplifying it so that providers could adjust and learn

378. 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…

379. Using Health Information Technology to Improve Delivery of HPV Vaccine (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/k08hs017951-rand-annual-summary-2012.pdf
     January 01, 2012 - Rand will complete the following education objectives: 1) learn health informatics theory and be able

380. Non-Identifiable Data Files - Centers for Medicare & Medicaid Services
     digital.ahrq.gov/sites/default/files/docs/library/12_BlueButtonInitiative.asp.html
     April 24, 2013 - Share Help Email - Opens in a new window Print Learn