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  1. digital.ahrq.gov/program-overview/research-reports/2022-year-review/research-themes-and-findings
    January 01, 2022 - tools in chronic disease self-management Mobile health applications adapted with automated learning … O'Brien's Project Profile Applying novel machine learning methodologies in real time to readily … Improving equity in healthcare with digital healthcare solutions A Machine Learning Algorithm … to Improve the Use of Interpreters for Hospitalized Patients with Complex Care Needs A machine learning … Using machine learning- and artificial intelligence-developed tools in the intensive care unit has
  2. digital.ahrq.gov/national-webinars/empowering-patients-change-behavior-using-digital-healthcare-tools
    July 17, 2025 - Learning Objectives: At the conclusion of this Webinar, participants should be able to: Discuss how … Chief Research Information Officer, Co-Director Center for AI-Enabled Learning Health Science Oregon
  3. digital.ahrq.gov/medical-condition/hivaids
    January 01, 2024 - HIV/AIDS A Machine Learning Health System to Integrate Care for Substance … 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
  4. digital.ahrq.gov/location/usa-nc-research-triangle-park
    January 01, 2023 - Patient-Centered Outcomes Research Clinical Decision Support Learning Network Description The … Patient-Centered Clinical Decision Support Learning Network was created as a multistakeholder collaborative
  5. digital.ahrq.gov/program-overview/research-reports/2022-year-review
    January 01, 2022 - Clinical Decision Support Tool for Preventing Falls Emerging Research A Machine Learning … Cancer Treatment Emerging Research Use of Artificial Intelligence and Machine Learning
  6. digital.ahrq.gov/principal-investigator/toh-darren
    January 01, 2023 - Improving Missing Data Analysis in Distributed Research Networks Applying machine learning … Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance
  7. digital.ahrq.gov/sites/default/files/docs/care-transitions-qas-092619.pdf
    September 26, 2019 - For further details, visit: https://www.cms.gov/Outreach-and- Education/Medicare-Learning-Network-MLN … post-acute care, identify patient goals, and https://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN … For further details, visit: https://www.cms.gov/Outreach-and-Education/Medicare-Learning- Network-MLN … potential benefit of collaborating with local EDs was https://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN … For further details, visit: https://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/
  8. digital.ahrq.gov/ahrq-funded-projects/etiology-medication-ordering-errors-computerized-provider-order-entry-systems
    January 01, 2023 - Clinical Staff/Clinician Predicting self-intercepted medication ordering errors using machine learning … Predicting self-intercepted medication ordering errors using machine learning. … Publication Technology: Artificial Intelligence , Computerized Provider Order Entry System , Machine Learning
  9. digital.ahrq.gov/ahrq-funded-projects/development-and-assessment-artificial-intelligence-ai-enhanced-pretreatment
    April 01, 2024 - 01/2024 - 03/31/2027 Technology Data Visualization Artificial Intelligence Machine Learning … This research aims to strengthen and automate the peer-review process using AI and machine learning (
  10. digital.ahrq.gov/ahrq-funded-projects/developing-and-evaluating-online-education-improve-older-adults-health/annual-summary/2011
    January 01, 2011 - The project conducted focus groups to identify older adults' preferences for online learning about health … Specific Aims: Convene focus groups to identify older adults' preferences for online learning about … 2011 Activities: The project team conducted patient focus groups to identify older adults' online learning
  11. digital.ahrq.gov/events/national-web-conference-using-health-it-chronic-disease-management
    January 01, 2023 - Cebul will present results from a learning collaborative for quality improvement. … Learning Objectives: Understand the burden chronic illnesses places on the health care system.
  12. digital.ahrq.gov/care-setting/perioperativeoperative
    January 01, 2023 - EnhanCed HandOffs (ECHO) Description This research will develop and evaluate a machine learning-augmented … Likely To Suffer Last-Minute Surgery Cancellation Description This research applied machine learning
  13. digital.ahrq.gov/health-care-theme/quality-measurement
    January 01, 2023 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning … Contract Number 290-10-00033I-2 Principal Investigator(s) Jain, Anjali Learning
  14. digital.ahrq.gov/sites/default/files/docs/citation/r01hs024090-turchin-final-report-2019.pdf
    January 01, 2019 - Structured Abstract Purpose: To test whether a novel machine learning … Key Words: predictive modeling, machine learning, mortality, electronic medical records 2 | P a g e … Accuracy of different statistical and machine learning techniques was compared. … We also utilized two machine-learning benchmark techniques: support vector machines (SVMs) and neural … Dynamic Logic Dynamic Logic is a machine-learning technique invented by our co-investigator, Dr.
  15. digital.ahrq.gov/technology/knowledge-system
    August 01, 2024 - Investigator(s) Marcial, Laura A qualitative study of interprofessional learning … A qualitative study of interprofessional learning related to electronic health record (EHR) medication
  16. digital.ahrq.gov/sites/default/files/ahrq-dhr-2023-year-in-review.pdf
    January 01, 2023 - - Using machine learning may improve accuracy in assessing symptoms. In addition, Dr. … The voice biomarker technology uses machine learning to assess respiratory dysfunction, including … - -Using telemedicine and machine learning may im prove postoperative handoff safety. … Using machine learning for risk assessment. … Leveraging the power of machine learning can improve triage.
  17. digital.ahrq.gov/ahrq-funded-projects/coolcraig-app-promoting-health-improving-self-regulation-adolescents-adhd
    January 01, 2023 - added to the prototype, including personalized calendars that synchronized across devices with distance learning … daily organization and task completion in children with ADHD, particularly during periods of distance learning … with ADHD: Rapid deployment and feasibility evaluation of a pilot intervention to support distance learning … with ADHD: Rapid deployment and feasibility evaluation of a pilot intervention to support distance learning … During the COVID-19 pandemic with school provided by distance learning, CoolCraig provided structured
  18. digital.ahrq.gov/ahrq-funded-projects/theory-based-patient-portal-elearning-program-older-adults-chronic-illnesses
    January 01, 2023 - optimized and implemented the 3-week T-PeP program, covering PP system navigation, functionality overview, learning … Patient Portal Population: Adults , Elderly The effects of a theory-based patient portal e-learning … The effects of a theory-based patient portal e-learning program for older adults with chronic illnesses
  19. digital.ahrq.gov/ahrq-funded-projects/improving-patient-access-and-patient-clinician-continuity-through-panel/annual-summary/2011
    January 01, 2011 - In addition to these priorities, teaching hospitals must take into account the learning requirements … context of medical resident education, where a heterogeneous physician-patient panel offers greater learning
  20. digital.ahrq.gov/type-care/long-term-care
    January 01, 2023 - (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

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