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  1. digital.ahrq.gov/principal-investigator/zhu-xi
    January 01, 2024 - Zhu, Xi Patient care in complex Sociotechnological ecosystems and learning … Patient care in complex Sociotechnological ecosystems and learning health systems.
  2. digital.ahrq.gov/national-webinars/empowering-patients-change-behavior-using-digital-healthcare-tools
    July 17, 2025 - Learning Objectives: Discuss how an interactive, family-centered digital health promotion tool can … Chief Research Information Officer, Co-Director Center for AI-Enabled Learning Health Science Oregon
  3. digital.ahrq.gov/location/usa-il-chicago
    January 01, 2023 - USA, IL, Chicago A Machine Learning Health System to Integrate Care … Hospitalized Patients Description This research will develop, train, test, and evaluate a machine learning … CDSiC) Description The Clinical Decision Support Innovation Collaborative (CDSiC) created a learning
  4. digital.ahrq.gov/covid-acts
    January 01, 2023 - for COVID-19 patients and care teams in limited settings for selected targets being addressed by Learning … Advance tools, standards, and collaborations that seed a robust knowledge ecosystem that fosters learning …   Products Concept Demonstration and Case Study for a knowledge ecosystem that supports learning
  5. digital.ahrq.gov/ahrq-funded-projects/improving-pediatric-donor-heart-utilization-predictive-analytics
    September 30, 2024 - 29/2026 Technology Artificial Intelligence Dashboard Data Visualization Machine Learning … Researchers will develop predictive models using advanced machine learning techniques to assess transplant … first predictive model to assess post-transplant survival at the time of a donor offer, using machine learning
  6. digital.ahrq.gov/document-type/report
    January 08, 2025 - Shared Decision Making with Patients with Osteoarthritis of the Knee A Machine Learning … 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
  7. digital.ahrq.gov/sites/default/files/docs/citation/u18hs022789-edmunds-final-report-2017.pdf
    January 01, 2017 - Key Words: electronic health data, analytic methods, clinical informatics, governance, learning health … AcademyHealth’s innovative approach to convening and environmental scanning; synthesis and meta-learning … The project team established Communities of Practice around two topic areas: Data Analytics in Learning … EDM Forum products have also been leveraged and cross- promoted with the Community Health Peer Learning … Community Health Peer Learning Program).
  8. digital.ahrq.gov/ahrq-funded-projects/ai-directed-cds-tool-reduce-iron-deficiency-anemia-pregnancy-randomized
    August 01, 2024 - /2026 Technology Artificial Intelligence Clinical Decision Support System Machine Learning … Researchers will develop a machine learning-based predictive model using structured data from the end … AI-aided clinical tools in obstetrics, promoting the widespread implementation of embedded machine-learning
  9. digital.ahrq.gov/health-care-theme/preventive-medicine
    January 01, 2023 - Investigator(s) Krupp, Anna Dunn Lopez, Karen A Longitudinal Machine Learning … Infrastructure Employing the USPSTF Recommendations in Computable Form Description This study used learning … Language Understanding Description This research used natural language processing and machine learning
  10. digital.ahrq.gov/ahrq-funded-projects/industrial-systems-engineering-and-health-care-critical-areas-research-workshop/industrial-and-systems-engineering-and-health-care-critical-areas-research-workshop-materials
    January 01, 2023 - Engineering a learning healthcare system: A look at the future/Preliminary draft. … The learning healthcare system: Workshop summary. Olsen L, Aisner D, McGinnis JM, eds. … Learning healthcare system concepts v. 2008/Annual report.
  11. digital.ahrq.gov/2019-year-review/research-dissemination/disseminating-knowledge-and-research-findings-conferences/ahrq-funded-research-2019-amia-annual-research-symposium
    January 01, 2019 - Blumenfeld Patient-Centered Clinical Decision Support Learning Network Panel Presentation: Toward … Blumenfeld Patient-Centered Clinical Decision Support Learning Network Panel Presentation: Results … Blumenfeld Patient-Centered Clinical Decision Support Learning Network Poster Session: Promoting … PRO Dashboards Workshop - Instructional: Incorporating Patient Voice into Clinical Care to Advance Learning
  12. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024750-sherwin-final-report-2019.pdf
    January 01, 2019 - Enhancing an EMR-Based Real-Time Sepsis Alert System Performance through Machine Learning - Final Report … Project: Enhancing an EMR-Based Real-Time Sepsis Alert System Performance through Machine Learning … Compare to 23 Machine learning techniques. … The performance of a selection of the twenty-three machine learning techniques are reported in Table … The team is utilizing the skills and knowledge gained to apply AI and machine learning techniques to
  13. digital.ahrq.gov/location/usa-oh-cincinnati
    January 01, 2023 - About Epilepsy Surgery Patients Description This research prospectively evaluated a machine learning … Likely To Suffer Last-Minute Surgery Cancellation Description This research applied machine learning
  14. digital.ahrq.gov/national-webinars/opportunities-digital-healthcare-lessons-learned-covid-19-pandemic
    January 01, 2023 - Learning Objectives: At the conclusion of this webinar, participants should be able to: Explain challenges … and opportunities to improve the evidence to guidance to action to data to evidence Learning Health
  15. digital.ahrq.gov/ahrq-funded-projects/using-social-knowledge-networking-skn-technology-enable-meaningful-use-ehr
    January 01, 2023 - to report issues related to EHR MedRec, 2) an online platform for moderated discussion of issues, 3) learning … across the following stages: 1) identifying problems related to EHR MedRec, 2) problem solving, 3) learning … were identified as critical for identifying best practices in the literature and promoting collective learning … Population: Administrator , Clinical Staff/Clinician A qualitative study of interprofessional learning … A qualitative study of interprofessional learning related to electronic health record (EHR) medication
  16. digital.ahrq.gov/ahrq-funded-projects/evaluating-diagnostic-decision-support-systems-patients-requiring-urgent
    July 01, 2023 - Dates 07/01/2023 - 05/31/2028 Technology Clinical Decision Support System Machine Learning … improving early diagnosis and risk stratification, the research team will create and validate new machine learning … Using machine learning may improve accuracy in assessing symptoms In addition, Dr. … will couple data from 2,300 patients who have presented with symptoms of stroke at the ED with machine learning … Care is Right for Them Connecting NICU Parents with Mental Health Support via a Mobile App Machine Learning
  17. digital.ahrq.gov/principal-investigator/li-baoxin
    January 01, 2023 - Classification of diabetic retinopathy images using multi-class multiple-instance learning … Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color
  18. digital.ahrq.gov/funding-mechanism/ahrq-health-services-research-projects-r01
    January 01, 2023 - Mann, Devin M Improving Safety and Quality of Emergency Care Using Machine Learning-Based … Description This research will design, implement, and evaluate an emergency department triage machine learning … Drug Event Prediction Description This research will use artificial intelligence and machine learning
  19. digital.ahrq.gov/events/national-web-conference-evaluation-personal-health-record-phr-systems-and-their-impact
    January 01, 2023 - Learning Objectives: Describe the learning process involved in implementing a Personal Health Record
  20. digital.ahrq.gov/medical-condition/neurologic-disease
    January 01, 2025 - Early identification of epilepsy surgery candidates: A multicenter, machine learning … Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning

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