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  1. digital.ahrq.gov/population/payer
    September 01, 2024 - 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 … researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning
  2. digital.ahrq.gov/ahrq-funded-projects/ehr-based-screening-tool-support-safe-discharges-covid-19-patients-emergency-department
    September 29, 2023 - potential to improve morbidity and mortality from COVID-19 infection by identifying, through machine learning … /2023 Technology Artificial Intelligence Clinical Decision Support System Machine Learning … The CERST was developed using natural language processing (NLP), machine learning (ML) algorithms, and … Semi-Structured Interview Technology: Artificial Intelligence , Clinical Decision Support System , Machine Learning
  3. digital.ahrq.gov/ahrq-funded-projects/developing-passive-digital-marker-prediction-childhood-asthma-treatment
    January 01, 2023 - Treatment Response Project Description Applying novel machine learning … Bloomington Indiana Project Dates 08/01/2022 - 07/31/2025 Technology Machine Learning … This research is predicated on the notion that applying novel machine learning (ML) methodologies to
  4. 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.
  5. 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
  6. digital.ahrq.gov/technology/clinical-decision-support-system
    January 08, 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 … Description This research uses large language models and machine learning to retrospectively
  7. digital.ahrq.gov/ahrq-funded-projects/learning-primary-care-ehr-exemplars-about-health-it-safety
    January 01, 2023 - Learning From Primary Care EHR Exemplars About Health IT Safety Project Final Report … Learning From Primary Care EHR Exemplars About Health IT Safety - Final Report Citation: Ornstein S. … Learning From Primary Care EHR Exemplars About Health IT Safety - Final Report. … Principal Investigator: Ornstein, Steven Project Name: Learning From Primary Care EHR Exemplars About
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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:
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. digital.ahrq.gov/population/physician
    January 01, 2025 - Principal Investigator(s) Bates, David Rotenstein, Lisa Machine-Learning … Infection Care in Children Description The study will develop and implement a validated machine learning … Description This research uses large language models and machine learning to retrospectively … Aid for Left Ventricular Assist Device Digital supervision in the clinical learning … Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health
  20. 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

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