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61. Patient-tailored prioritization for a pediatric care decision support system through machine learning. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/computer-automated-developmental-surveillance-and-screening/citation/patient
    January 01, 2023 - Patient-tailored prioritization for a pediatric care decision support system through machine learning … Patient-tailored prioritization for a pediatric care decision support system through machine learning

62. 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?

63. Learning from errors: analysis of medication order voiding in CPOE systems. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/tools-optimizing-medication-safety-top-meds/citation/learning-errors-analysis
    January 01, 2023 - Learning from errors: analysis of medication order voiding in CPOE systems. … Learning from errors: analysis of medication order voiding in CPOE systems.

64. 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:

65. Patient care in complex Sociotechnological ecosystems and learning health systems. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/connected-cancer-care-ehr-communication-networks-virtual-cancer-care-teams/citation/patient
    January 01, 2024 - Patient care in complex Sociotechnological ecosystems and learning health systems. … Patient care in complex Sociotechnological ecosystems and learning health systems.

66. 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 … 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

67. Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health record. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/use-ehr-metadata-assess-hospital-discharge-planning-post-acute-transitions/citation/digital
    January 01, 2024 - Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health … Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health

68. A model of academic-practice collaboration for facilitating informatics capacity and building a learning health system framework in public health. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/advancing-population-and-public-health-reporting-and-outcomes-vaccination-data-exchange-approve/citation/model
    January 01, 2024 - A model of academic-practice collaboration for facilitating informatics capacity and building a learning … A model of academic-practice collaboration for facilitating informatics capacity and building a learning

69. Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/decision-making-and-clinical-work-test-result-followup-health-information/citation/learning
    January 01, 2023 - Learning from patients' experiences related to diagnostic errors is essential for progress in patient … Learning from patients' experiences related to diagnostic errors is essential for progress in patient

70. 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
    September 29, 2025 - 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

71. 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

72. 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

73. 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

74. 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

75. 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.

76. Sikora, Andrea | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/sikora-andrea
    January 01, 2025 - Drug Event Prediction Cluster analysis driven by unsupervised latent feature learning … Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication … Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload … Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload … Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU.

77. 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

78. 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

79. 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

80. Research Centers in Primary Care Practice-Based Research and Learning | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/research-centers-primary-care-practice-based-research-and-learning
    January 01, 2023 - Research Centers in Primary Care Practice-Based Research and Learning Project Final … HS021678 Funding Mechanism(s) Research Centers in Primary Care Practice Based Research and Learning … Ambulatory Setting Type of Care Primary Care Health Care Theme Learning … Research Centers in Primary Care Practice Based Research and Learning - Final Report Citation: Ornstein … Research Centers in Primary Care Practice Based Research and Learning - Final Report.