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361. National Center for Pediatric Practice Based Research and Learning (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/p30hs021645-wasserman-annual-summary-2012.pdf
     January 01, 2012 - National Center for Pediatric Practice Based Research and Learning RESEARCH CENTERS IN PRIMARY CARE PRACTICE BASED RESEARCH AND LEARNING National Center for Pediatric Practice Based Research and Learning Principal Investigator: Wasserman, Richard Organization: American Academy of Pediatric…

362. 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…

363. A Machine Learning Algorithm to Improve the Use of Interpreters for Hospitalized Patients with Complex Care Needs | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/machine-learning-algorithm-improve-use-interpreters-hospitalized
     January 01, 2023 - A Machine Learning Algorithm to Improve the Use of Interpreters for Hospitalized Patients with Complex Care Needs Theme: Supporting Health Systems in Advancing Care Delivery Subtheme: Improving Equity in Healthcare with Digital Healthcare Solutions A machine learning, predictive analytic i…

364. Harnessing Health Information Technology to Promote Equitable Care for Patients with Limited English Proficiency and Complex Care Needs | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/harnessing-health-information-technology-promote-equitable-care-patients-limited-english
     October 31, 2024 - Harnessing Health Information Technology to Promote Equitable Care for Patients with Limited English Proficiency and Complex Care Needs Project Description Publications Research Story A machine learning predictive analytic intervention has the potential to improve h…

365. Improving Adherence and Outcomes by Artificial Intelligence-Adapted Text Messages - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs022336-farris-final-report-2017.pdf
     January 01, 2017 - messages to patients’ cell phones at designated dates and times; and (e) RL engine that will learn … individual patient it is making a decision for, while sharing data across the population in order to learn … context vector was operationalized using a method known as tile coding, which allows the agent to learn … shows that even though the majority of patients were highly adherent, the agent was still able to learn

366. 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

367. 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

368. 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

369. 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

370. 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…

371. 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

372. 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

373. 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

374. El Dorado County Safety Net Technology Project/Access El Dorado County (ACCEL) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/el-dorado-county-safety-net-technology-project-accel
     January 01, 2023 - ensure that the problem or barrier to getting appropriate health care is resolved and that clients learn

375. 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…

376. Health IT as a Means, not an End: How Health IT Supports Broad Quality Improvement for Medicaid and CHIP Beneficiaries (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/health_it_as_a_means__not_an_end__how_health_it_supports_broad_quality_improvement_for_medicaid_and_chip_beneficiaries_5.pdf
     March 29, 2010 - • Subscribe to CHCS eMail Updates to learn about new programs and resources. … • Learn about cutting-edge efforts to improve care for Medicaid’s highest-need, highest-cost members … 47 http://www.mhmc.info Quality Counts • Provider-based collaborative founded to help providers learn

377. 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 …

378. 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…

379. Engaging Patients to Enable Interoperable Lung Cancer Decision Support at Scale | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/engaging-patients-enable-interoperable-lung-cancer-decision-support-scale
     January 01, 2024 - MyLungHealth will be “prescribed” to eligible patients so they can learn about lung cancer screening;

380. Microsoft Word - HIE Evaluation Toolkit 11-27-07.doc (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/HIE_Evaluation_Toolkit.pdf
     November 27, 2007 - Center, they should not be considered exhaustive, as there may be many opportunities to explore and learn … Reach out to these groups to learn what information they are currently collecting, and determine whether … In addition, contact the various groups you are working with to learn the reporting capabilities of … Clearly state what you want to learn, how you plan to collect the necessary data, and how you would … A sample size calculation can be a sobering experience: You may learn that your team cannot answer