Results

Total Results: 1,710 records

Showing results for "learning".
Users also searched for: pap smear

161. 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.

162. 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

163. 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:

164. 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.

165. 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

166. 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

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. 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

169. 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

170. 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

171. A Decision Support Tool for the Discontinuation of Disease Modifying Therapies in Multiple Sclerosis | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/decision-support-tool-discontinuation-disease-modifying-therapies-multiple
     July 31, 2025 - /2025 Technology Artificial Intelligence Clinical Decision Support System Machine Learning … research will develop, validate, and evaluate a point-of-care decision support tool using a machine learning

172. 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

173. Primary Care | Digital Healthcare Research
     digital.ahrq.gov/type-care/primary-care
     January 01, 2023 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning … Principal Investigator(s) Bates, David Rotenstein, Lisa Machine-Learning … Infection Care in Children Description The study will develop and implement a validated machine learning … Asthma Treatment Response Description This research is developing and evaluating a machine learning

174. Children's Hospital | Digital Healthcare Research
     digital.ahrq.gov/care-setting/childrens-hospital
     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

175. 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

176. 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 … CDSiC) Description The Clinical Decision Support Innovation Collaborative (CDSiC) created a learning

177. 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

178. Expanding access to hepatitis C virus treatment—Extension for Community Healthcare Outcomes (ECHO) project: Disruptive innovation in specialty care - Arora - 2010 - Hepatology - Wiley Online Library
     digital.ahrq.gov/sites/default/files/docs/library/full_0.html
     September 01, 2010 - Situated Learning Theory ECHO's training components such as learning loops and comanagement of patients … in ECHO HCV Comanaged Clinics Degree of Learning (N=38)         Rating Scale: 1=No Learning; 2=Limited … Source of Learning; 3=Good, Reliable Source of Learning; 4=Essential Source of Learning 1 2 3 4 Learning … NA=1 6% 18% 35% 41% Case-based learning as the focus for discussion and learning in HCV telemedicine … Most providers felt that case-based learning was a reliable/essential source of learning and that it

179. Expanding access to hepatitis C virus treatment—Extension for Community Healthcare Outcomes (ECHO) project: Disruptive innovation in specialty care - Arora - 2010 - Hepatology - Wiley Online Library
     digital.ahrq.gov/sites/default/files/docs/library/full_1.html
     September 01, 2010 - Situated Learning Theory ECHO's training components such as learning loops and comanagement of patients … in ECHO HCV Comanaged Clinics Degree of Learning (N=38)         Rating Scale: 1=No Learning; 2=Limited … Source of Learning; 3=Good, Reliable Source of Learning; 4=Essential Source of Learning 1 2 3 4 Learning … NA=1 6% 18% 35% 41% Case-based learning as the focus for discussion and learning in HCV telemedicine … Most providers felt that case-based learning was a reliable/essential source of learning and that it

180. Lavallee, Danielle | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/lavallee-danielle
     January 01, 2023 - Technology: Data, User Experience, and Workflow Requirements for PRO Dashboards A learning … A learning health system approach to integrating electronic patient-reported outcomes across the health … Learning Health System.