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161. Balanced Scorecard | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/balanced-scorecard
     January 01, 2023 - The four perspectives are: 1) financial, 2) customer, 3) internal business processes, and 4) learning … EACH OF THE FOUR PERSPECTIVES MEANS for the organization: customer, internal business, innovation and learning

162. The Chronic Care Project (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/uc1hs016154-nashan-final-report-2009.pdf
     January 01, 2009 - Learning Sessions Three Learning Sessions were held during each Collaborative. … The Learning Sessions had a variety of objectives. … Of all the Learning Sessions, Learning Session 1 was particularly important for setting the stage, providing … * Results of Learning Session 3 Survey: Aroostook Results of Learning Session 3 Survey: Bangor … Results of Learning Session 3 Survey: Total Results of Learning Session 3 Survey: P-value

163. USA, IL, Elk Grove Village | Digital Healthcare Research
     digital.ahrq.gov/location/usa-il-elk-grove-village
     January 01, 2023 - Village National Center for Pediatric Practice-Based Research and Learning … Description This project established the Center for Pediatric Practice-Based Research and Learning

164. National Center for Pediatric Practice Based Research and Learning - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/national-center-pediatric-practice-based-research-and-learning/annual-summary/2012
     January 01, 2012 - National Center for Pediatric Practice Based Research and Learning - 2012 Project Name … National Center for Pediatric Practice-Based Research and Learning Principal Investigator … Funding Mechanism RFA: HS-12-002: Research Centers in Primary Care Practice Based Research and Learning … address these challenges, this project established the Center for Pediatric Practice-Based Research and Learning … nation’s most innovative pediatric PBRN—to form the Center For Pediatric Practice-Based Research and Learning

165. Avidan, Michael | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/avidan-michael
     October 14, 2020 - Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) Use of machine learning … Use of machine learning to develop and evaluate models using preoperative and intraoperative data to … Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) Using machine learning … Using machine learning techniques to develop forecasting algorithms for postoperative complications:

166. Optimizing Care Delivery for Clinicians | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/optimizing-care-delivery-for-clinicians
     January 01, 2023 - Improving Safety in Postoperative Handoff Communication with Telemedicine and Machine Learning Implementing … a postoperative handoff intervention augmented with telemedicine and machine learning technologies will … Using Machine Learning for Military Service Members and Veterans at Risk for Suicide The use of a risk-prediction … Visual Learning: Displaying the Data for Hypertension Management A clinical decision support tool helps

167. Extension for Community Healthcare Outcomes (ECHO): Presentation to AHRQ 2006 Annual Conference (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/2006Arora_051811comp.pdf
     February 01, 2006 - Learning at the HCV Telemedicine Clinic N=24 Not a source Occasional source Good, reliable … source Essential source NA Self-learning associated with topics raised at the HCV clinic 25% … source Essential source NA Learning by returning to topics several times in the HCV clinic 8% … 42% 25% 25% Case-based learning as the focus for discussion and learning at the HCV clinics 5% 17% … Six Month Questionnaire Report: Sources of Learning (cont'd.)

168. Developing Evidence-Based, User-Centered Design and Implementation Guidelines to Improve Health Information Technology Usability | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-evidence-based-user-centered-design-and-implementation-guidelines
     January 01, 2023 - - 07/31/2021 Technology Electronic Health Record/Electronic Medical Record Machine Learning … , Usability Assessment Technology: Electronic Health Record/Electronic Medical Record , Machine Learning … , Natural Language Processing System A machine learning approach to reclassifying miscellaneous … A machine learning approach to reclassifying miscellaneous patient safety event reports. … Using active learning to identify health Information technology related patient safety events.

169. Individuals with Chronic Care Needs | Digital Healthcare Research
     digital.ahrq.gov/population/individuals-chronic-care-needs
     August 01, 2024 - Management Effectiveness of a digital health intervention leveraging reinforcement learning … Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes … Depression Self-Management Via Adaptive Mobile Messaging Automated, machine learning-based … Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled

170. Shah, Sareen S. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/shah-sareen-s
     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

171. Dziorny, Adam C. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/dziorny-adam-c
     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

172. Rush University Medical Center | Digital Healthcare Research
     digital.ahrq.gov/organization/rush-university-medical-center
     January 01, 2023 - Rush University Medical Center A Machine Learning Health System to Integrate … Hospitalized Patients Description This research will develop, train, test, and evaluate a machine learning

173. Guidelines for Integrating Electronic Patient-Reported Outcomes Into Health Systems - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs023785-lavallee-final-report-2021.pdf
     January 01, 2021 - As a result, this will remain a fluid space for learning. … Learning Health Systems. epub March 1, 2021; https://doi.org/10.1002/lrh2.10263. … Toward a science of learning systems: a research agenda for the high-functioning Learning Health System … The Learning Healthcare System: Workshop Summary. … A framework for value-creating learning health systems.

174. Medical University of South Carolina | Digital Healthcare Research
     digital.ahrq.gov/organization/medical-university-south-carolina
     January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … Rheingold, Alyssa Ann Learning From Primary Care EHR Exemplars About Health IT … Name Assessment of Pediatric Look-Alike, Sound-Alike Substitution Errors Learning

175. Sax, Dana | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/sax-dana
     January 01, 2023 - Dana 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

176. Medically Underserved Populations | Digital Healthcare Research
     digital.ahrq.gov/population/medically-underserved-populations
     January 01, 2023 - Behavioral Therapy for Insomnia in Hispanic Primary Care Patients 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 … Identifying high need primary care patients using nursing knowledge and machine learning … CIC 2022: Identifying high need primary care patients using nursing knowledge and machine learning methods

177. Natural Language Processing To Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/natural-language-processing-identify-and-rank-clinically-relevant-information
     January 01, 2023 - Technology Artificial Intelligence Electronic Health Record/Electronic Medical Record Machine Learning … Newer search tools using natural language processing (NLP) and machine learning can be developed to automatically … The results demonstrated that information retrieval methods using NLP and unsupervised machine learning … Journal Publication Research Method: Quantitative Technology: Artificial Intelligence , Machine Learning … Technology: Artificial Intelligence , Electronic Health Record/Electronic Medical Record , Machine Learning

178. AHRQ_DHR_Annual_Report_2022-At-A-Glance (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/ahrq-dhr-2022-year-in-review-at-a-glance.pdf
     January 01, 2022 - Advancing Care Delivery Story Title Impact Statement Principal Investigator(s) Type A Machine Learning … Interpreters for Hospitalized Patients with Complex Care Needs Research Investment: $300,000 A machine learning … Stephanie Mueller Brigham and Women’s Hospital Emerging Use of Artificial Intelligence and Machine Learning … to Improve Care by Critical Care Pharmacists Research Investment: $2,156,598 Using machine learning … https://digital.ahrq.gov/program-overview/research-stories/use-artificial-intelligence-and-machine-learning-improve-care

179. IT Staff | Digital Healthcare Research
     digital.ahrq.gov/population/it-staff
     January 01, 2023 - Grant Number R13 HS028541 Principal Investigator(s) Agarwal, Ritu A learning … A learning health system approach to integrating electronic patient-reported outcomes across the health … Learning Health System. … Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network

180. Academic Medical Center | Digital Healthcare Research
     digital.ahrq.gov/care-setting/academic-medical-center
     January 01, 2023 - Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children Description … The study will develop and implement a validated machine learning model to optimize voiding cystourethrogram … Principal Investigator(s) Wang, Hsin-Hsiao Scott ML-ROVER: Machine Learning … Description The study will develop, validate, implement, and assess the usability of a machine learning