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101. Artificial Intelligence | Digital Healthcare Research
     digital.ahrq.gov/technology/artificial-intelligence
     January 01, 2025 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning … Description This research uses large language models and machine learning to retrospectively … A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention … A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention … Project Name A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment

102. AHRQ National Web Conference on Applying Advanced Analytics in Clinical Care - Q&As (pdf file)
     digital.ahrq.gov/sites/default/files/docs/clinical-care-qas-10142020.pdf
     October 14, 2020 - Are you talking about a transfer learning scenario? … Deep-learning model for predicting 30-day postoperative mortality. … Are you talking about a transfer learning scenario? … Learning by James, Witten, Hastie, an... … Deep-learning model for predicting 30-day postoperative mortality.

103. American Academy of Pediatrics | Digital Healthcare Research
     digital.ahrq.gov/organization/american-academy-pediatrics
     January 01, 2023 - Pediatrics National Center for Pediatric Practice Based Research and Learning … Wasserman, Richard Project Name National Center for Pediatric Practice-Based Research and Learning … National Center for Pediatric Practice-Based Research and Learning Description … This project established the Center for Pediatric Practice-Based Research and Learning to develop

104. Administrator | Digital Healthcare Research
     digital.ahrq.gov/population/administrator
     January 01, 2023 - Health System Initiative: Early experience developing a collaborative, regional learning health system … The Indiana Learning Health System Initiative: Early experience developing a collaborative, regional … learning health system. … A learning health system approach to integrating electronic patient-reported outcomes across the health … Learning Health System.

105. AcademyHealth Electronic Data Methods (EDM) Forum Second Phase | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/academyhealth-electronic-data-methods-edm-forum-second-phase
     January 01, 2023 - collaboration among stakeholders who create data, methods, and evidence to shape the next generation of learning … support of 14 collaborative methods projects, including CIELO (Collaborative Informatics Environment for Learning … Telemedicine Enabling open science for health research: collaborative informatics environment for learning … Enabling open science for health research: collaborative informatics environment for learning on health

106. National Center for Pediatric Practice Based Research & Learning - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/p30hs021645-fiks-final-report-2018.pdf
     January 01, 2018 - National Center for Pediatric Practice Based Research & Learning - Final Report … Final Progress Report: National Center for Pediatric Practice Based Research & Learning … November 30, 2018 Title of Project: National Center for Pediatric Practice Based Research & Learning … Discussion The Center for Pediatric Practice-Based Research and Learning (C-PRL), led by Dr. … : Practice-Based Research and Learning Networks Across the Life Course conference.

107. C-Suite Officer | Digital Healthcare Research
     digital.ahrq.gov/population/c-suite-officer
     January 01, 2023 - Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network … Patient-Centered Outcomes Research Clinical Decision Support Learning Network - Final … Patient-Centered Outcomes Research Clinical Decision Support Learning Network - Final Report. … Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network … A qualitative study of interprofessional learning related to electronic health record

108. Devine, Emily B. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/devine-emily-b
     January 01, 2023 - Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning

109. Exploring Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis
     January 01, 2023 - Project Dates 08/01/2011 - 05/31/2014 Technology Artificial Intelligence Machine Learning … system to improve reviewers’ diagnostic performance  This project developed innovative machine learning-based … On average, the machine-learning algorithms outperformed other approaches in the literature. … Classification of diabetic retinopathy images using multi-class multiple-instance learning based … Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color

110. Sherwin, Robert | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/sherwin-robert
     January 01, 2023 - Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning … Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report … Project Name Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning … Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning

111. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enabling-large-scale-research-autism-spectrum-disorders-through-automated
     January 01, 2023 - Project Dates 09/01/2017 - 08/31/2020 Technology Artificial Intelligence Machine Learning … In addition, machine learning (ML) algorithms were used to label a child’s clinical record as either … : Report Research Method: Algorithm , Case Study Technology: Artificial Intelligence , Machine Learning … Natural language processing and other machine learning techniques convert unstructured text into structured … In addition, machine learning algorithms were used to label a child’s clinical record as either ASD or

112. Applying Advanced Analytics in Clinical Care | Digital Healthcare Research
     digital.ahrq.gov/national-webinars/applying-advanced-analytics-clinical-care
     January 01, 2023 - Specifically, the panel featured findings from research projects that applied machine learning and natural … Learning Objectives: At the conclusion of this webinar, participants should be able to: Review how … machine learning algorithms in conjunction with natural language processing can be used to identify patients … Evaluate the benefits of using EHR-integrated machine learning algorithms to identify patients with epilepsy … Describe how data mining and machine learning can help forecast adverse outcomes among surgical patients

113. Schleyer, Titus | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/schleyer-titus
     January 01, 2023 - Schleyer, Titus The Indiana Learning Health System Initiative: Early … experience developing a collaborative, regional learning health system. … The Indiana Learning Health System Initiative: Early experience developing a collaborative, regional … learning health system.

114. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention among Hospitalized Patients - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs028511-held-final-report-2024.pdf
     January 01, 2024 - A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention … Hospitalized Patients - Final Report 2024 A Machine Learning … Abstract Purpose: Develop a machine learning … Machine learning provides a data-driven solution to these challenges by leveraging advanced models, … A machine learning health system to integrate care for substance misuse and HIV risk.”

115. Cost-Benefit/Cost-Effectiveness | Digital Healthcare Research
     digital.ahrq.gov/research-method/cost-benefit
     January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning

116. Abraham, Joanna | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/abraham-joanna
     January 01, 2024 - Abraham, Joanna Machine learning-augmented interventions in perioperative … Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis … EnhanCed HandOffs (ECHO) Description This research will develop and evaluate a machine learning-augmented … Systems Predicting self-intercepted medication ordering errors using machine learning … Predicting self-intercepted medication ordering errors using machine learning.

117. Clinical Decision Making | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/clinical-decision-making
     January 01, 2023 - Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children Description … The study will develop and implement a validated machine learning model to optimize voiding cystourethrogram … Principal Investigator(s) Wang, Hsin-Hsiao Scott ML-ROVER: Machine Learning … Description The study will develop, validate, implement, and assess the usability of a machine learning … Description This research uses large language models and machine learning to retrospectively

118. Quality Improvement | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/quality-improvement
     January 01, 2023 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning … Principal Investigator(s) Bates, David Rotenstein, Lisa Machine-Learning … Principal Investigator(s) Wang, Hsin-Hsiao Scott ML-ROVER: Machine Learning … Description The study will develop, validate, implement, and assess the usability of a machine learning … Description This research uses large language models and machine learning to retrospectively

119. Patient Safety | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/patient-safety
     January 01, 2023 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning … HS030202 Principal Investigator(s) Abraham, Olufunmilola Machine-Learning … Principal Investigator(s) Wang, Hsin-Hsiao Scott ML-ROVER: Machine Learning … Description The study will develop, validate, implement, and assess the usability of a machine learning … Description This research uses large language models and machine learning to retrospectively

120. Children | Digital Healthcare Research
     digital.ahrq.gov/population/children
     January 01, 2025 - Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children Description … The study will develop and implement a validated machine learning model to optimize voiding cystourethrogram … Principal Investigator(s) Wang, Hsin-Hsiao Scott ML-ROVER: Machine Learning … Description The study will develop, validate, implement, and assess the usability of a machine learning … Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled