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121. Shah, Sareen S. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/shah-sareen-s
     January 01, 2025 - Project Name ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization … ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization Description The … study will develop, validate, implement, and assess the usability of a machine learning based clinical

122. Dziorny, Adam C. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/dziorny-adam-c
     January 01, 2025 - Project Name ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization … ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization Description The … study will develop, validate, implement, and assess the usability of a machine learning based clinical

123. Edmunds, Margaret | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/edmunds-margaret
     January 01, 2023 - Enabling open science for health research: collaborative informatics environment for learning … Enabling open science for health research: collaborative informatics environment for learning on health … (EDM) Forum Second Phase Description The Electronic Data Methods (EDM) Forum facilitated learning … researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning

124. Electronic Data Methods (EDM) Forum: Second Phase (U18) | Digital Healthcare Research
     digital.ahrq.gov/funding-mechanism/electronic-data-methods-edm-forum-second-phase-u18
     January 01, 2023 - Enabling open science for health research: collaborative informatics environment for learning … Enabling open science for health research: collaborative informatics environment for learning on health … (EDM) Forum Second Phase Description The Electronic Data Methods (EDM) Forum facilitated learning … researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning

125. Ambulatory Setting | Digital Healthcare Research
     digital.ahrq.gov/care-setting/ambulatory-clinic
     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 … Infection Care in Children Description The study will develop and implement a validated machine learning … An Age-Friendly Learning Healthcare System: A Transformative Digital Solution for Geriatrics Clinics … Kawamoto, Kensaku A Longitudinal Machine Learning Approach Providing Clinicians

126. Health Information Technology (IT) to Improve Health Care Quality and Outcomes (R21) | Digital Healthcare Research
     digital.ahrq.gov/funding-mechanism/health-information-technology-it-improve-health-care-quality-and-outcomes-r21
     January 01, 2023 - Technology (IT) to Improve Health Care Quality and Outcomes (R21) Machine Learning … Pharmacist Resource Prediction Description This research will develop and validate machine learning … Proficiency and Complex Care Needs Description This research will test and validate a machine learning … in the Emergency Department Description This study created, trained, and tested machine learning … Number R21 HS028104 Principal Investigator(s) Zhang, Zhan A Machine Learning

127. Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast
     January 01, 2023 - Decision Support System Dashboard Electronic Health Record/Electronic Medical Record Machine Learning … Novel machine learning algorithms were constructed to predict postoperative 30-day mortality, postoperative … × Disclaimer Disclaimer details Close Use of machine learning … Use of machine learning to develop and evaluate models using preoperative and intraoperative data to … Using machine learning techniques to develop forecasting algorithms for postoperative complications:

128. Pak, Theodore R. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/pak-theodore-r
     January 01, 2025 - Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning … Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning … Description This research uses large language models and machine learning to retrospectively

129. HopScore: An Electronic Outcomes-Based Emergency Triage System | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/hopscore-electronic-outcomes-based-emergency-triage-system
     January 01, 2023 - Clinical Decision Support System Electronic Health Record/Electronic Medical Record Machine Learning … the tool was embedded in the electronic medical record (EMR) under the name “E-triage,” and machine learning … The project team deployed and prospectively evaluated E-triage, the machine-learning-based triage support … E-triage supported triage decision making by applying a machine learning algorithm to predict patients … The team concluded that E-triage applied machine learning to distill large volumes of patient data to

130. 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

131. Abraham, Joanna | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/abraham-joanna
     January 01, 2025 - Education Leveraging Electronic Transitions of Care for COPD Patients Machine learning-augmented … 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.

132. Acute Care | Digital Healthcare Research
     digital.ahrq.gov/type-care/acute-care
     January 01, 2023 - HS030202 Principal Investigator(s) Abraham, Olufunmilola Machine-Learning … Infection Care in Children Description The study will develop and implement a validated 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

133. University of Georgia | Digital Healthcare Research
     digital.ahrq.gov/organization/university-georgia
     January 01, 2023 - University of Georgia Machine Learning Validation of Medication Regimen … Pharmacist Resource Prediction Description This research will develop and validate machine learning … Drug Event Prediction Description This research will use artificial intelligence and machine learning

134. USA, GA, Athens | Digital Healthcare Research
     digital.ahrq.gov/location/usa-ga-athens
     January 01, 2023 - USA, GA, Athens Machine Learning Validation of Medication Regimen Complexity … Pharmacist Resource Prediction Description This research will develop and validate machine learning … Drug Event Prediction Description This research will use artificial intelligence and machine learning

135. Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE PRO) Dissemination Project – Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r18hs025638-yazdany-final-report-2022.pdf
     January 01, 2022 - Structure of the RISE-PRO Learning Network. … Setting up the learning network using the IHI Model. … Learning sessions began in March 2019 followed by hour-long webinars every 1 to 2 months; over 20 learning … The structure for a webinar learning session included a review of the previous learning session’s proceedings … We successfully developed the RISE PRO Learning Network and conducted over 20 learning sessions between

136. Implementer | Digital Healthcare Research
     digital.ahrq.gov/population/implementer
     August 01, 2024 - Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network … Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network … Huston, Paula 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

137. Semi-Automated Identification of Biomedical Literature | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/semi-automated-identification-biomedical-literature
     January 01, 2023 - Project Dates 09/30/2019 - 09/29/2020 Technology Artificial Intelligence Machine Learning … For this study, the research team used machine learning technologies, including natural language processing … represent the text of the citations in a form that can be used by information-retrieval and machine-learning … The system took as input a set of questions written in natural language and used a set of machine-learning … Document Type: Report Research Method: Algorithm Technology: Artificial Intelligence , Machine Learning

138. Intensive Care Unit | Digital Healthcare Research
     digital.ahrq.gov/care-setting/hospital-intensive-care-unit
     January 01, 2023 - Intensive Care Unit ML-ROVER: Machine Learning to Reduce Laboratory … Description The study will develop, validate, implement, and assess the usability of a machine learning … Principal Investigator(s) Kleinman, Keith Jeffers, Justin Machine Learning … Pharmacist Resource Prediction Description This research will develop and validate machine learning … Drug Event Prediction Description This research will use artificial intelligence and machine learning

139. Learning from Primary Care EHR Exemplars About HIT Safety - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024327-ornstein-final-report-2018.pdf
     January 01, 2018 - Learning from Primary Care EHR Exemplars About HIT Safety - Final Report Project Title … : Learning from Primary Care EHR E xemplars About HIT Safety Principal Investigator: Steven … Practices should consider joining a practice-based research or learning network to help them … Learning from Primary Care Meaningful Use Exemplars. … AHRQ Centers for Primary Care Practice-Based Research and Learning.

140. 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 - Key Words: ASD, EHR, Natural Language Processing, NLP, machine learning, deep learning 2. … ) to tune deep learning hyper-parameters. … Leroy, “Use of Conventional Machine Learning to Optimize Deep Learning Hyper- parameters for NLP Labeling … Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research. 2012;12. 23. … Use of Conventional Machine Learning to Optimize Deep Learning Hyper- parameters for NLP Labeling Tasks