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digital.ahrq.gov/type-care/tertiary-care
January 01, 2023 - Tertiary Care
ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization … Description
The study will develop, validate, implement, and assess the usability of a machine learning
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digital.ahrq.gov/care-setting/critical-access-hospital
January 01, 2023 - the reporting of medical errors and near misses, monitored safety event reporting, and developed a learning … Also served as a critical learning tool for clinicians in a coalition of three large health organizations
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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
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digital.ahrq.gov/care-setting/hospital-outpatient
January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … Description
Working with the American College of Rheumatology, this research created a clinical learning
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digital.ahrq.gov/health-care-theme/clinical-workflow
January 01, 2023 - Mitigate Emergency Department Overcrowding Problems
Description
This research will use deep learning … Proficiency and Complex Care Needs
Description
This research will test and validate a machine learning
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digital.ahrq.gov/type-care/preventive-care
January 01, 2023 - Preventive Care
A Longitudinal Machine Learning Approach Providing Clinicians … Infrastructure Employing the USPSTF Recommendations in Computable Form
Description
This study used learning
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digital.ahrq.gov/health-care-theme/human-factors
January 01, 2023 - ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization
Description
The study … will develop, validate, implement, and assess the usability of a machine learning based clinical decision
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digital.ahrq.gov/health-care-theme/medication-safety
January 01, 2023 - Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning … Description
This research uses large language models and machine learning to retrospectively
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digital.ahrq.gov/care-setting/across-health-care-system
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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digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis/annual-summary/2012
January 01, 2012 - Building on their experience, the team is designing a machine learning-based algorithm for retrieving … the project was to collect a sufficient number of DR images to support the development of the machine learning … Impact and Findings: Classification accuracy is the performance measure used to assess the machine-learning
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digital.ahrq.gov/ahrq-funded-projects/project-echo-extension-community-healthcare-outcomes/annual-summary/2008
January 01, 2008 - This particular form of case-based learning, called “learning loops,” allow community providers to learn … In these case-based learning clinics, partners rapidly gained deep domain expertise in HCV as they collaborated
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digital.ahrq.gov/ahrq-funded-projects/promoting-use-integrated-personal-health-record-prevention/annual-summary/2010
January 01, 2010 - develop guidance on how to integrate MyPreventiveCare into care delivery using practice champions, learning … Study staff will conduct key informant interviews and record and analyze learning collaboratives to understand … A central learning collaborative for the eight practices was assembled.
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digital.ahrq.gov/ahrq-funded-projects/using-health-information-technology-improve-health-care-quality-primary-care-va/annual-summary/2011
January 01, 2011 - Through a series of learning collaboratives, study staff are guiding practices to create a shared vision … Separate learning collaboratives are being conducted at each practice before and after IPHR implementation … The seventh learning collaborative was completed.
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digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/aas-ih-2002
January 01, 2002 - The involvement in teledermatology may result in learning for the GPs and this may allow the GPs to take … "Learning effects allow [general practitioners] GPs to take care of some patients themselves and their
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digital.ahrq.gov/topics-az/l
January 01, 2023 - R
S
T
U
V
W
Laboratory Information System
Learning
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digital.ahrq.gov/sites/default/files/docs/citation/cds-connect-year7-final-report-2023.pdf
January 01, 2023 - use of the platform and Authoring Tool by promoting awareness and adoption by institutions
of higher learning … and other learning communities … • Consider incorporating machine learning and artifical intelligence that improves the user experience … If interested in learning more, please sign up for AHRQ’s newsletter at
https://www.ahrq.gov/news/newsletters
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digital.ahrq.gov/ahrq-funded-projects/enabling-sleep-apnea-patient-centered-care-internet-intervention/annual-summary/2011
January 01, 2011 - The portal included a learning center with information on sleep apnea and the CPAP device, charts that … The learning center also contained self-assessment materials (including research surveys) an interactive … of the i-CPAP intervention was the availability of resources important to the patient, including the learning
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digital.ahrq.gov/population/stakeholder
September 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
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digital.ahrq.gov/technology/fast-healthcare-interoperability-resources-fhir
January 08, 2025 - Name
Clinical Decision Support for Chronic Pain Management
An Age-Friendly Learning … Mitigate Emergency Department Overcrowding Problems
Description
This research will use deep learning
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digital.ahrq.gov/principal-investigator/zeng-qing
January 01, 2023 - Integrity
Description
This research will develop and validate advanced statistical and machine learning