-
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
-
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
-
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
-
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.
-
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
-
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 … Machine Learning to Improve Patient Triage in the Emergency Department
-
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
-
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
-
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
-
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.
-
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
-
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:
-
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
-
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
-
digital.ahrq.gov/ahrq-funded-projects/identifying-sepsis-phenotypes-associated-antibiotic-resistant-pathogens-using
August 01, 2024 - Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning … Artificial Intelligence
Clinical Decision Support System
Generative Artificial Intelligence
Machine Learning … The researchers will use machine learning (ML) and LLMs to retrospectively study electronic health records
-
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
-
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
-
digital.ahrq.gov/principal-investigator/sikora-andrea
January 01, 2024 - Sikora, Andrea
Cluster analysis driven by unsupervised latent feature learning … Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of 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.
-
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
-
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