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digital.ahrq.gov/principal-investigator/toh-darrenJanuary 01, 2023 - Improving Missing Data Analysis in Distributed Research Networks Applying machine learning … Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance
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digital.ahrq.gov/location/usa-nc-research-triangle-parkJanuary 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
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digital.ahrq.gov/program-overview/research-reports/2022-year-reviewJanuary 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
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digital.ahrq.gov/care-setting/childrens-hospitalJanuary 01, 2023 - Fiks, Alexander National Center for Pediatric Practice-Based Research and Learning … Description This project established the Center for Pediatric Practice-Based Research and Learning
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digital.ahrq.gov/program-overview/research-reports/2022-year-review/research-themes-and-findingsJanuary 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
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digital.ahrq.gov/sites/default/files/docs/page/GLIDES_TEP_2012_ahamilton.pdfJanuary 01, 2012 - Network Role in HIT Implementation and Support Health Centers Working Independently A Learning … achieving Meaningful Use and Patient Centered Medical Home Certification • Strength the collaborative learning … Programs Network Role in HIT Implementation and Support Health Centers Working Independently A Learning
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digital.ahrq.gov/sites/default/files/docs/care-transitions-qas-092619.pdfSeptember 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/
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digital.ahrq.gov/ahrq-funded-projects/etiology-medication-ordering-errors-computerized-provider-order-entry-systemsJanuary 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
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Regional Health eDecisions: A Guide to Connecting Health Information Exchange in Primary Care (pdf file)
digital.ahrq.gov/sites/default/files/docs/citation/eDecisionsReport.pdfAugust 06, 2013 - This was also important for continuous quality improvement and learning. … Practices were engaged in local learning collaborative. … Table 1. learning collaboraTive TiMeline and agenda Learning collaborative #1 2 months prior to … Learning collaborative #2 1 months prior to implementation Discuss current workflows. … During the learning collaboratives members should discuss training activities. -
digital.ahrq.gov/care-setting/perioperativeoperativeJanuary 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
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digital.ahrq.gov/events/national-web-conference-using-health-it-chronic-disease-managementJanuary 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.
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digital.ahrq.gov/topics-az/lJanuary 01, 2023 - R S T U V W Laboratory Information System Learning
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digital.ahrq.gov/ahrq-funded-projects/developing-and-evaluating-online-education-improve-older-adults-health/annual-summary/2011January 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
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digital.ahrq.gov/type-care/long-term-careJanuary 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/care-setting/across-health-care-systemJanuary 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/care-setting/hospital-outpatientJanuary 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/location/usa-il-chicagoJanuary 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/type-care/preventive-careJanuary 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/medication-safetyJanuary 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/health-care-theme/clinical-workflowJanuary 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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