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221. Industrial and Systems Engineering and Health Care: Critical Areas of Research Workshop - Materials | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/industrial-systems-engineering-and-health-care-critical-areas-research-workshop/industrial-and-systems-engineering-and-health-care-critical-areas-research-workshop-materials
     January 01, 2023 - Engineering a learning healthcare system: A look at the future/Preliminary draft. … The learning healthcare system: Workshop summary. Olsen L, Aisner D, McGinnis JM, eds. … Learning healthcare system concepts v. 2008/Annual report.

222. Ambulatory Care | Digital Healthcare Research
     digital.ahrq.gov/type-care/ambulatory-care
     January 01, 2023 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning … R21 HS030158 Principal Investigator(s) McLaughlin, Kevin Machine-Learning … Infection Care in Children Description The study will develop and implement a validated machine learning

223. Preventive Medicine | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/preventive-medicine
     January 01, 2023 - Investigator(s) Krupp, Anna Dunn Lopez, Karen A Longitudinal Machine Learning … Infrastructure Employing the USPSTF Recommendations in Computable Form Description This study used learning … Language Understanding Description This research used natural language processing and machine learning

224. USA, OH, Cincinnati | Digital Healthcare Research
     digital.ahrq.gov/location/usa-oh-cincinnati
     January 01, 2023 - About Epilepsy Surgery Patients Description This research prospectively evaluated a machine learning … Likely To Suffer Last-Minute Surgery Cancellation Description This research applied machine learning

225. Chronic Care Technology Planning Project (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/p20hs014949-branscombe-final-report-2005.pdf
     January 01, 2005 - The Transformation Team utilized this information to plan three Learning Sessions which will occur in … This result will be further nurtured in the Learning Sessions planned. … Further learning occurred within the project staff as technology options were researched. … (attachment 2, Learning Session Agendas). … These learning sessions are the final component of the IHI collaborative model.

226. The Chronic Care Technology Project - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/chronic-care-technology-project/annual-summary/2010
     January 01, 2010 - project helped providers in northern and eastern Maine implement new technologies through a regional learning … Rather than the usual methods of adopting and implementing technology, the project used a collaborative learning … evaluated using a survey instrument to measure the effectiveness of the main elements of the process, learning … The survey findings were summarized after each learning session to provide an evaluation of the IHI BTS … Beyond recruitment, the project team learned that involvement of IT specialists from the first learning

227. Li, Baoxin | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/li-baoxin
     January 01, 2023 - Classification of diabetic retinopathy images using multi-class multiple-instance learning … Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color

228. NLP to identify and rank clinically relevant information from EHRs in the Emergency Department - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024541-goss-final-report-2018.pdf
     January 01, 2018 - The results demonstrate how information retrieval methods using NLP and unsupervised machine learning … The results of our machine learning methods are shown below (Table 2). … Deep learning questions: Numerous papers have publicized the many recent successes of deep learning/ … in EHRs learning fail? … Why were the machine learning methods better than the SME?

229. HopScore: An Electronic Outcomes-Based Emergency Triage System - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs023641-levin-final-report-2018.pdf
     January 01, 2018 - Methods: E-triage supports triage decision-making by applying a machine learning algorithm to predict … Key Words Emergency Medicine, Triage, Clinical Decision Support, Machine Learning, Predictive Analytics … The machine learning concepts behind e-triage and its anticipated use to support clinical judgment … Significance In this study we deployed and prospectively evaluated a machine-learning-based triage … Cambridge, United Kingdom. 9/2018 Machine Learning Based Electronic Triage.

230. AHRQ-Funded Research at the 2019 AMIA Annual Research Symposium | Digital Healthcare Research
     digital.ahrq.gov/2019-year-review/research-dissemination/disseminating-knowledge-and-research-findings-conferences/ahrq-funded-research-2019-amia-annual-research-symposium
     January 01, 2019 - Blumenfeld Patient-Centered Clinical Decision Support Learning Network Panel Presentation: Toward … Blumenfeld Patient-Centered Clinical Decision Support Learning Network Panel Presentation: Results … Blumenfeld Patient-Centered Clinical Decision Support Learning Network Poster Session: Promoting … PRO Dashboards Workshop - Instructional: Incorporating Patient Voice into Clinical Care to Advance Learning

231. Electronic Data Methods (EDM) Forum for Comparative Effectiveness Research: Second Phase - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/u18hs022789-edmunds-final-report-2017.pdf
     January 01, 2017 - Key Words: electronic health data, analytic methods, clinical informatics, governance, learning health … AcademyHealth’s innovative approach to convening and environmental scanning; synthesis and meta-learning … The project team established Communities of Practice around two topic areas: Data Analytics in Learning … EDM Forum products have also been leveraged and cross- promoted with the Community Health Peer Learning … Community Health Peer Learning Program).

232. Promoting Use of an Integrated Personal Health Record for Prevention - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/promoting-use-integrated-personal-health-record-prevention/annual-summary/2011
     January 01, 2011 - develop guidance on how to integrate MyPreventiveCare into care delivery using practice champions, learning … Study staff is conducting key informant interviews and recording and analyzing learning collaboratives … (Ongoing) 2011 Activities: Four post-implementation learning collaboratives were held during this … Additionally, learning collaborative members asked that the project create a new user recruitment target

233. Data for Individual Health (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/2014-jason-data-for-individual-health.pdf
     January 01, 2014 - Such an infrastructure can also be leveraged to facilitate a Learning Health System. … Figure 2-2 and the desired Learning Health System as envisioned by the ONC. … However, integration of these two components is critical to a Learning Health System. … in a Learning Health System. … Their expertise should be continuously leveraged to enable learning in the Learning Health System.

234. Promoting Use of an Integrated Personal Health Record for Prevention - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r21hs018811-krist-final-report-2012.pdf
     January 01, 2012 - participated in the learning collaboratives. … General Learning Collaborative (LC) timeline and agenda Learning Collaborative Agenda LC #1: 4 months … Discussed the goals and role of the learning collaborative. … Learning Collaborative Transcripts. … All learning collaboratives were audiotaped and transcribed.

235. Report | Digital Healthcare Research
     digital.ahrq.gov/document-type/report
     January 08, 2025 - Telehealth Education for Asthma Connecting Hospital and Home (TEACHH) 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

236. Improving Pediatric Donor Heart Utilization with Predictive Analytics | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-pediatric-donor-heart-utilization-predictive-analytics
     September 30, 2024 - 29/2026 Technology Artificial Intelligence Dashboard Data Visualization Machine Learning … Researchers will develop predictive models using advanced machine learning techniques to assess transplant … first predictive model to assess post-transplant survival at the time of a donor offer, using machine learning

237. An AI-Directed CDS Tool to Reduce Iron Deficiency Anemia in Pregnancy: A Randomized Controlled Trial (AID-IDA Trial) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/ai-directed-cds-tool-reduce-iron-deficiency-anemia-pregnancy-randomized
     August 01, 2024 - /2026 Technology Artificial Intelligence Clinical Decision Support System Machine Learning … Researchers will develop a machine learning-based predictive model using structured data from the end … AI-aided clinical tools in obstetrics, promoting the widespread implementation of embedded machine-learning

238. Industrial and Systems Engineering and Health Care: Critical Areas of Research Workshop - Quality Engineering Group Report Day 2 (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/Quality%20Engineering%20Group%20Report%20Day%202.pdf
     September 22, 2009 - ISyE-Enabled continuity of care for internal quality improvement/creating a ‘learning system’ 3. … There is a need to think about how we can facilitate a research agenda about creating a ‘learning organization … ’ or a learning system 5.

239. Opportunities for Digital Healthcare: Lessons Learned from the COVID-19 Pandemic | Digital Healthcare Research
     digital.ahrq.gov/national-webinars/opportunities-digital-healthcare-lessons-learned-covid-19-pandemic
     January 01, 2023 - Learning Objectives: At the conclusion of this webinar, participants should be able to: Explain challenges … and opportunities to improve the evidence to guidance to action to data to evidence Learning Health

240. Evaluating Diagnostic Decision Support Systems for Patients Requiring Urgent Primary or Emergency Care or with Stroke | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/evaluating-diagnostic-decision-support-systems-patients-requiring-urgent
     July 01, 2023 - Dates 07/01/2023 - 05/31/2028 Technology Clinical Decision Support System Machine Learning … improving early diagnosis and risk stratification, the research team will create and validate new machine learning … Using machine learning may improve accuracy in assessing symptoms In addition, Dr. … will couple data from 2,300 patients who have presented with symptoms of stroke at the ED with machine learning … Care is Right for Them Connecting NICU Parents with Mental Health Support via a Mobile App Machine Learning