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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/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/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/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/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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digital.ahrq.gov/medical-condition/hivaidsJanuary 01, 2024 - Dissemination of the WiseApp for Improving Health Outcomes Across Settings A Machine Learning … A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention … Project Name A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment
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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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Improving Healthcare Through AHRQ's Digital Healthcare Research Program: 2023 Year in Review (pdf file)
digital.ahrq.gov/sites/default/files/ahrq-dhr-2023-year-in-review.pdfJanuary 01, 2023 - - Using machine learning may improve accuracy in assessing symptoms. In addition, Dr. … The voice biomarker technology uses machine learning to assess respiratory dysfunction, including … - -Using telemedicine and machine learning may im prove postoperative handoff safety. … Using machine learning for risk assessment. … Leveraging the power of machine learning can improve triage. -
digital.ahrq.gov/sites/default/files/docs/citation/r01hs024090-turchin-final-report-2019.pdfJanuary 01, 2019 - Structured Abstract Purpose: To test whether a novel machine learning … Key Words: predictive modeling, machine learning, mortality, electronic medical records 2 | P a g e … Accuracy of different statistical and machine learning techniques was compared. … We also utilized two machine-learning benchmark techniques: support vector machines (SVMs) and neural … Dynamic Logic Dynamic Logic is a machine-learning technique invented by our co-investigator, Dr.
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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/health-care-theme/quality-measurementJanuary 01, 2023 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning … Contract Number 290-10-00033I-2 Principal Investigator(s) Jain, Anjali 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/ahrq-funded-projects/improving-patient-access-and-patient-clinician-continuity-through-panel/annual-summary/2011January 01, 2011 - In addition to these priorities, teaching hospitals must take into account the learning requirements … context of medical resident education, where a heterogeneous physician-patient panel offers greater learning
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digital.ahrq.gov/ahrq-funded-projects/development-and-assessment-artificial-intelligence-ai-enhanced-pretreatmentApril 01, 2024 - 01/2024 - 03/31/2027 Technology Data Visualization Artificial Intelligence Machine Learning … This research aims to strengthen and automate the peer-review process using AI and machine learning (
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digital.ahrq.gov/ahrq-funded-projects/coolcraig-app-promoting-health-improving-self-regulation-adolescents-adhdJanuary 01, 2023 - added to the prototype, including personalized calendars that synchronized across devices with distance learning … daily organization and task completion in children with ADHD, particularly during periods of distance learning … 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 … During the COVID-19 pandemic with school provided by distance learning, CoolCraig provided structured
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digital.ahrq.gov/ahrq-funded-projects/theory-based-patient-portal-elearning-program-older-adults-chronic-illnessesJanuary 01, 2023 - optimized and implemented the 3-week T-PeP program, covering PP system navigation, functionality overview, learning … Patient Portal Population: Adults , Elderly The effects of a theory-based patient portal e-learning … The effects of a theory-based patient portal e-learning program for older adults with chronic illnesses
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digital.ahrq.gov/health-care-theme/human-factorsJanuary 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-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/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/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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