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101. 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 … 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 … and Prevention Among Hospitalized Patients A Machine Learning Health System … Hospitalized Patients Description This research will develop, train, test, and evaluate a machine learning

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. 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

104. 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

105. 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

106. 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.”

107. 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

108. Payer | Digital Healthcare Research
     digital.ahrq.gov/population/payer
     September 01, 2024 - CDSiC) Description The Clinical Decision Support Innovation Collaborative (CDSiC) created a learning … 75Q80120D00018 Patient-Centered Outcomes Research Clinical Decision Support Learning … Patient-Centered Outcomes Research Clinical Decision Support Learning Network - Final Report. … Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network … (EDM) Forum Second Phase Description The Electronic Data Methods (EDM) Forum facilitated learning

109. 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

110. Visual Learning: Displaying the Data for Hypertension Management | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/visual-learning-displaying-data-hypertension-management
     January 01, 2023 - Visual Learning: Displaying the Data for Hypertension Management Theme: Optimizing Care

111. 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

112. 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.

113. 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

114. Administrator | Digital Healthcare Research
     digital.ahrq.gov/population/administrator
     January 01, 2024 - 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.

115. 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

116. 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

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. Improving Missing Data Analysis in Distributed Research Networks – Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs026214-toh-final-report-2022.pdf
     January 01, 2022 - Aim 2: Apply and assess machine learning and predictive modeling techniques to address less obvious … this aim through 2 case studies using supervised machine learning techniques to predict missing data … Our analyses investigated by how much machine learning and predictive modeling techniques could use … Aim 2: Missing data prediction in distributed research networks using supervised machine learning … A comparison of machine learning approaches. HCSRN’s 2021 Annual Conference.

119. 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

120. Bacterial Infection | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/bacterial-infection
     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