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261. Neurologic Disease | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/neurologic-disease
     January 01, 2024 - Early identification of epilepsy surgery candidates: A multicenter, machine learning … Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning

262. Program Impact - Transforming Healthcare Through Digital Innovation | Digital Healthcare Research
     digital.ahrq.gov/program-overview/program-impact
     January 01, 2023 - Heart Attacks Improving Safety in Postoperative Handoff Communication with Telemedicine and Machine Learning … Access to Care with Telehealth Physiatry Visits for Children with Special Healthcare Needs Machine Learning

263. AHRQ evidence-based Care Transformation Support (ACTS) | Digital Healthcare Research
     digital.ahrq.gov/acts
     January 01, 2023 - digital knowledge platforms from AHRQ and others that combine to form a knowledge ecosystem that fosters learning … ACTS Supports the Quintuple Aim ACTS Future Vision: A Knowledge Ecosystem that Supports Learning

264. Enhancing an EMR-Based Real-Time Sepsis Alert System Performance through Machine Learning - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024750-sherwin-final-report-2019.pdf
     January 01, 2019 - Enhancing an EMR-Based Real-Time Sepsis Alert System Performance through Machine Learning - Final Report … Project: Enhancing an EMR-Based Real-Time Sepsis Alert System Performance through Machine Learning … Compare to 23 Machine learning techniques. … The performance of a selection of the twenty-three machine learning techniques are reported in Table … The team is utilizing the skills and knowledge gained to apply AI and machine learning techniques to

265. USA, CA, Oakland | Digital Healthcare Research
     digital.ahrq.gov/location/usa-ca-oakland
     January 01, 2023 - Oakland Improving Safety and Quality of Emergency Care Using Machine Learning-Based … Description This research will design, implement, and evaluate an emergency department triage machine learning

266. AHRQ National Web Conference on Opportunities for Digital Healthcare: Lessons Learned from the COVID-19 Pandemic - Q&As (pdf file)
     digital.ahrq.gov/sites/default/files/docs/lessons-covid19-qas-07012021.pdf
     July 01, 2021 - 1, 2021 “Leveraging Better Digital Healthcare Approaches to Improve Information Flow and Support Learning … incentivize value-based care and better outcomes; the future vision for digital health supporting learning … July 1, 2021 “Leveraging Better Digital Healthcare Approaches to Improve Information Flow and Support Learning … to incentivize value-based care and better outcomes; the future vision for digital health supporting learning

267. Improving Care: Advancing Evidence into Practice through Interoperable, Patient-Centered Clinical Decision Support | Digital Healthcare Research
     digital.ahrq.gov/2019-year-review/research-spotlights/improving-care-advancing-evidence-practice-through-interoperable
     January 01, 2019 - Building a Learning Community Focused on Patient-Centered CDS Patient engagement has always been a … From 2016-2020, RTI International led the Patient-Centered CDS Learning Network (“Learning Network”) … Over the course of the grant, the Learning Network convened annual in-person meetings, created work groups … While the grant has ended, the resources produced are available on the Learning Network website , including

268. Developing and Evaluating Online Education to Improve Older Adults Health Information - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-and-evaluating-online-education-improve-older-adults-health/annual-summary/2010
     January 01, 2010 - The project will conduct focus groups to identify older adults' preferences for online learning about … Specific Aims: Convene focus groups to identify older adults' preferences for online learning about … Fink conducted three patient focus groups to identify older adults' online learning preferences.

269. Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024581-avidan-final-report-2020.pdf
     January 01, 2020 - Machine learning algorithms were successfully constructed for all three specified prediction targets … Machine learning algorithms for postoperative death, acute kidney injury, and acute respiratory failure … Using machine learning techniques to develop forecasting algorithms for postoperative complications: … Deep-learning model for predicting 30-day postoperative mortality. Br J Anaesth. 2019;123:688-95. … Update to ‘Deep-learning model for predicting 30-day mortality’ (Br J Anaesth 2019; 123: 688-95).

270. Nahm, Eun-Shim | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/nahm-eun-shim
     January 01, 2023 - Adults With Chronic Illnesses 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

271. USA, NY, Rochester | Digital Healthcare Research
     digital.ahrq.gov/location/usa-ny-rochester
     January 01, 2023 - USA, NY, Rochester ML-ROVER: Machine Learning to Reduce Laboratory Test … Description The study will develop, validate, implement, and assess the usability of a machine learning

272. University of Rochester | Digital Healthcare Research
     digital.ahrq.gov/organization/university-rochester
     January 01, 2023 - University of Rochester ML-ROVER: Machine Learning to Reduce Laboratory … Description The study will develop, validate, implement, and assess the usability of a machine learning

273. Supporting Health Systems in Advancing Care Delivery | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/supporting-health-systems-advancing-care-delivery
     January 01, 2023 - Machine Learning to Improve Patient Triage in the Emergency Department The use of an emergency department … triage tool informed by machine learning has the potential to improve predictions around patient health

274. RTI International | Digital Healthcare Research
     digital.ahrq.gov/organization/rti-international
     January 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

275. AHRQ National Web Conference - Slide (pdf file)
     digital.ahrq.gov/sites/default/files/docs/lessons-covid19-slides-07012021.pdf
     July 01, 2021 - ” to submit your question to the moderator • Questions will be read aloud by the moderator 4 Learning … the challenges and opportunities to improve the evidence to guidance to action to data to evidence learning … virtuous improvement cycle => • Where stakeholder needs are met better throughout cycle => • = Learning … of tools used to create end-user products. 21 Collaborative Steps Toward Future Vision The ACTS Learning … From the COVID-19 Pandemic Agenda Presenter and Moderator Disclosures How to Submit a Question Learning

276. Pccds-Ln-Opioid-Action-Plan-2019 (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/pccds-ln-opioid-action-plan-2019.pdf
     January 01, 2019 - Research Triangle Park, NC: Patient‐ Centered Clinical Decision Support Learning Network; 2019 Mar. … The Patient-Centered CDS Learning Network (Learning Network) is an Agency for Healthcare Research … The Learning Network used this care transformation strategy with the OAPWG hoping that the learning … E.g., help produce a “Learning Health System.” … The Learning Health System Series. Washington, D.C.: N.A.M. EDU. 2017. 12.

277. Leveraging Health System Telehealth and Informatics Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning Health System Approach – Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs28284-simpson-final-report-2023.pdf
     January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … that real-time data sources, well integrated practice and research teams, and a commitment to a “Learning … health systems C-19 adjustments with regards to: overall patient volume, service uptake, delivery learning

278. Massachusetts General Hospital | Digital Healthcare Research
     digital.ahrq.gov/organization/massachusetts-general-hospital
     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

279. Regional Health eDecisions: A Guide to Connecting Health Information Exchange in Primary Care (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/eDecisionsReport.pdf
     August 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.

280. Incorporating Patient-Reported Outcomes into Shared Decision Making with Patients with Osteoarthritis of the Knee - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs027037-bozic-final-report-2024.pdf
     January 01, 2024 - Conclusion: Machine-learning–based decision support tools can facilitate SDM in patients with knee OA … Key Words: Patient-reported outcomes, shared decision-making, knee osteoarthritis, machine learning … Another recent advance in TKR decision making is utilizing machine learning to predict outcomes of TKR … The full machine learning- based decision analytic tool includes 3 modules within a software platform … Providers also expressed limited understanding of the machine-learning algorithm powering the tool,