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61. Improving Diabetes and Depression Self-Management Via Adaptive Mobile Messaging | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/improving-diabetes-and-depression-self-management-adaptive-mobile-messaging
    January 01, 2024 - Project Description Publications Events The use of reinforcement learning … Project Dates 09/01/2017 - 06/30/2022 Technology Artificial Intelligence Machine Learning … One promising strategy is implementing adaptive learning, which enables the prediction of which information … This research used machine learning algorithms to customize and distribute health messages to people … This supports the use of reinforcement learning algorithms for personalizing text messaging interventions

62. Research Centers in Primary Care Practice Based Research and Learning | Digital Healthcare Research
    digital.ahrq.gov/funding-mechanism/research-centers-primary-care-practice-based-research-and-learning
    January 01, 2023 - Research Centers in Primary Care Practice Based Research and Learning … Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning … Research Centers in Primary Care Practice Based Research and Learning - Final … Research Centers in Primary Care Practice Based Research and Learning - Final Report. … Research Centers in Primary Care Practice-Based Research and Learning

63. Achieving Individualized Precision Prevention (IPP) through Scalable Infrastructure Employing the USPSTF Recommendations in Computable Form | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/achieving-individualized-precision-prevention-ipp-through-scalable
    January 01, 2023 - Close Project Description Publications The use of novel learning … The idea of a learning health system (LHS) has gained increasing recognition since the appearance of … The learning cycle is completed by direct application of that knowledge to change practice. … Changed practice generates new data, driving the next iteration of the learning cycle, which leads to … KGrid includes knowledge objects, a digital library to hold and manage learning objects, and an activator

64. Harnessing Health Information Technology to Promote Equitable Care for Patients with Limited English Proficiency and Complex Care Needs | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/harnessing-health-information-technology-promote-equitable-care-patients-limited-english
    October 31, 2024 - Project Description Publications Research Story A machine learning … A machine learning predictive analytic framework used in a former study will be modified in this application … Qualitative , Structured/Semi-Structured Interview Technology: Artificial Intelligence , Machine Learning … The team is developing machine learning algorithms to reliably identify NELP patients with complex care … Use of machine learning algorithms will improve appropriateness and timeliness of using interpreters

65. Investigation of bias in an epilepsy machine learning algorithm trained on physician notes. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/investigation
    January 01, 2023 - Investigation of bias in an epilepsy machine learning algorithm trained on physician notes. … Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

66. The effects of a theory-based patient portal e-learning program for older adults with chronic illnesses. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/theory-based-patient-portal-elearning-program-older-adults-chronic-illnesses/citation/theory
    January 01, 2023 - The effects of a theory-based patient portal e-learning program for older adults with chronic illnesses … The effects of a theory-based patient portal e-learning program for older adults with chronic illnesses

67. A qualitative study of interprofessional learning related to electronic health record (EHR) medication reconciliation within a social knowledge networking (SKN) system. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/using-social-knowledge-networking-skn-technology-enable-meaningful-use-ehr/citation/qualitative
    January 01, 2023 - A qualitative study of interprofessional learning related to electronic health record (EHR) medication … A qualitative study of interprofessional learning related to electronic health record (EHR) medication

68. Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/prospective
    January 01, 2023 - Prospective validation of a machine learning model that uses provider notes to identify candidates for … Prospective validation of a machine learning model that uses provider notes to identify candidates for

69. Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled trial. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/automated
    January 01, 2023 - Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled … Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled

70. The Patient-Centered Clinical Decision Support Learning Network: Improving the Dissemination of PCOR in Patient-Centered Clinical Decision Support - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/u18hs024849-blumenfeld-final-report-2020.pdf
    January 01, 2020 - Decision Support Learning Network (PCCDS-LN or “the Learning Network”), was created as a multistakeholder … Learning Network Structure 5 Data Sources and Interventions The intent of the Learning Network … Website and Resource Center The Learning Network planned the development of a website to guide Learning … The Learning Network Self-Evaluation At its inception, the Learning Network was charged to monitor and … learning?

71. A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/longitudinal-machine-learning-approach-providing-clinicians-timely-detection
    September 30, 2023 - A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide … 30/2023 - 09/29/2025 Technology Artificial Intelligence Data Visualization Machine Learning … Using Machine Learning for Military Service Members and Veterans at Risk for Suicide Theme: … Optimizing Care Delivery for Clinicians Subtheme: Leveraging Machine Learning to Assess Risk … Machine Learning to Improve Patient Triage in the Emergency Department

72. Parents' perspectives on a smartwatch intervention for children with ADHD: Rapid deployment and feasibility evaluation of a pilot intervention to support distance learning during COVID-19. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/coolcraig-app-promoting-health-improving-self-regulation-adolescents-adhd/citation/parents
    January 01, 2023 - 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

73. The development of the rheumatology informatics system for effectiveness learning collaborative for improving patient-reported outcome collection and patient-centered communication in adult rheumatology. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/rheumatology-informatics-system-effectiveness-patient-reported-outcome-rise-pro/citation/development
    January 01, 2023 - The development of the rheumatology informatics system for effectiveness learning collaborative for improving … The development of the rheumatology informatics system for effectiveness learning collaborative for improving

74. Using Machine Learning for Military Service Members and Veterans at Risk for Suicide | Digital Healthcare Research
    digital.ahrq.gov/program-overview/research-stories/using-machine-learning-military-service-members-and-veterans-risk
    January 01, 2023 - Using Machine Learning for Military Service Members and Veterans at Risk for Suicide Theme: … Optimizing Care Delivery for Clinicians Subtheme: Leveraging Machine Learning to Assess Risk … Xiaotian Gao, a statistician with a background in machine learning and health data analysis, are collaborating … Using machine learning for risk assessment The researchers for this study are developing a personalized … Machine Learning to Improve Patient Triage in the Emergency Department

75. Building and Implementing a Predictive Decision Support System Based on a Proactive Full Capacity Protocol to Mitigate Emergency Department Overcrowding Problems | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/building-and-implementing-predictive-decision-support-system-based-proactive
    January 01, 2024 - Problems Project Description Publications Using deep learning … Technology Artificial Intelligence Clinical Decision Support System Dashboard Machine Learning … This research will use deep learning models to move a reactive FCP for ED overcrowding interventions … The specific aims of the research are as follows: Develop deep learning models to predict PFM values … Multiple deep learning models will be built to predict PFM values which will be included in the proactive

76. Improving the Delivery of Health Services at the Health Systems Level | Digital Healthcare Research
    digital.ahrq.gov/2020-year-review/research-summary/improving-delivery-health-services-health-systems-level
    January 01, 2020 - The use of machine learning and efforts to share health information across technologies and healthcare … Machine Learning Machine learning is a type of artificial intelligence that programs computers to learn … In machine learning, development of the underlying algorithms relies on computational statistics. … The Anesthesiology Control Tower (ACT) used data mining strategies and machine learning algorithms to … Charles Friedman , applied learning health system methodology with the goal of advancing individualized

77. Electronic Data Methods Forum (2010-2017) | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/past-initiatives/electronic-data-methods-edm-forum
    January 01, 2023 - The EDM Forum facilitated learning and collaboration among researchers and other key stakeholders who … generated the data, methods, and the knowledge needed to build learning health systems that will improve … the knowledge in four domains: analytic methods, clinical informatics, governance, and building the learning … interest in ensuring continued relevance, scalability, and sustainability of electronic data networks and learning

78. Learning from Primary Care Meaningful Use Exemplars | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/learning-primary-care-meaningful-use-exemplars
    January 01, 2023 - Learning from Primary Care Meaningful Use Exemplars Project Final Report ( PDF , … : Focus Group , Qualitative Technology: Electronic Health Record/Electronic Medical Record Learning … Learning from primary care meaningful use exemplars. J Am Board Fam Med 2015;28(3):360-70. … Learning from Primary Care Meaningful Use Exemplars - Final Report. … Project Name: Learning from Primary Care Meaningful Use Exemplars Document Type: Report Technology:

79. Data for Individual Health | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/data-individual-health
    January 01, 2023 - Record Personal Health Record Population Researcher Health Care Theme Learning … feedback loop between health care outcomes and clinical research, reducing opportunities for further learning … A “Learning Health System” would connect the medical system with broader societal inputs, creating important … developed a report that summarized key findings and recommendations to achieving a national-scale “Learning

80. Learning Health Systems—Applying Data and Evidence to Improve Patient Care | Digital Healthcare Research
    digital.ahrq.gov/2018-year-review/research-summary/emerging-innovative-newly-funded-research/learning-health-systems-applying-data-and-evidence-improve-patient-care
    January 01, 2018 - Learning Health Systems—Applying Data and Evidence to Improve Patient Care … Health systems that effectively apply data and evidence to improve patient outcomes and care are called learning