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141. 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

142. Semi-Automated Identification of Biomedical Literature | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/semi-automated-identification-biomedical-literature
     January 01, 2023 - Project Dates 09/30/2019 - 09/29/2020 Technology Artificial Intelligence Machine Learning … For this study, the research team used machine learning technologies, including natural language processing … represent the text of the citations in a form that can be used by information-retrieval and machine-learning … The system took as input a set of questions written in natural language and used a set of machine-learning … Document Type: Report Research Method: Algorithm Technology: Artificial Intelligence , Machine Learning

143. Patient Safety | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/patient-safety
     January 01, 2023 - Mitigate Emergency Department Overcrowding Problems Description This research will use deep learning … Improving Safety and Quality of Emergency Care Using Machine Learning-Based Clinical Decision Support … Description This research will design, implement, and evaluate an emergency department triage machine learning … Description This research will develop, validate, and evaluate a decision support tool using a machine learning … EnhanCed HandOffs (ECHO) Description This research will develop and evaluate a machine learning-augmented

144. Improving Health Data Quality by Assessing and Enhancing Semantic Integrity | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-health-data-quality-assessing-and-enhancing-semantic-integrity
     January 01, 2023 - Technology Artificial Intelligence Electronic Health Record/Electronic Medical Record Machine Learning … discrepancies in codes in EHR records (“aberrant signals”), the researchers will develop statistical and deep learning

145. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024988-leroy-final-report-2020.pdf
     January 01, 2020 - Key Words: ASD, EHR, Natural Language Processing, NLP, machine learning, deep learning 2. … ) to tune deep learning hyper-parameters. … Leroy, “Use of Conventional Machine Learning to Optimize Deep Learning Hyper- parameters for NLP Labeling … Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research. 2012;12. 23. … Use of Conventional Machine Learning to Optimize Deep Learning Hyper- parameters for NLP Labeling Tasks

146. 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

147. 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
     August 01, 2023 - /2028 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

148. 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.)

149. Pratap, Jayant | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/pratap-jayant
     January 01, 2023 - Pratap, Jayant Mining patient-specific and contextual data with machine learning … Mining patient-specific and contextual data with machine learning technologies to predict cancellation … Likely To Suffer Last-Minute Surgery Cancellation Description This research applied machine learning

150. Improving Adherence and Outcomes by Artificial Intelligence-Adapted Text Messages | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-adherence-and-outcomes-artificial-intelligence-adapted-text-messages
     January 01, 2023 - In order to address these challenges, researchers used Reinforcement Learning (RL), an artificial intelligence … Demonstrate “learning” by the RL-base adaptive system using data showing adaptation of the SMS message … The distribution of text messages themes changed over time signifying that the RL agent was learning

151. Implementer | Digital Healthcare Research
     digital.ahrq.gov/population/implementer
     January 01, 2023 - Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network … Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network … Huston, Paula Patient-Centered Outcomes Research Clinical Decision Support Learning … Patient-Centered Outcomes Research Clinical Decision Support Learning Network - Final Report. … Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network

152. Research Centers in Primary Care Practice Based Research and Learning - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/p30hs021678-ornstein-final-report-2017.pdf
     January 01, 2017 - Research Centers in Primary Care Practice Based Research and Learning - Final Report … Project Title: Research Centers in Primary Care Pr actice B ased Research and Learning … The seven funded grants are listed here: Title: Learning from Primary Care Meaningful … For several years we hosted monthly webinars to help disseminate our research findings and learning … "Learning from primary care meaningful use exemplars." J Am Board Fam Med 28(3): 360-370.

153. Questionnaire for User Interface Satisfaction | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/questionnaire
     January 01, 2023 - asks the user to rate the interface in areas such as ease of use, consistency, system capability, and learning … analysts calculate both an overall QUIS score and separate scores for each sub-scale (system capability, learning

154. Slide 1 (ppt file)
     digital.ahrq.gov/sites/default/files/docs/implementation/Arora%201-V.ppt
     February 01, 2006 - , reliable source Essential source NA Self-learning associated with topics raised at the HCV clinic … Clinic 8% 25% 25% 17% 25% Learning from colleagues and specialists from other disciplines who … 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% 53% 25% … Learning from other primary care peers outside my organization in association with HCV Telemedicine

155. 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

156. 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

157. Using Social Knowledge Networking (SKN) Technology To Enable Meaningful Use of EHR Technology - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024335-rangachari-final-report-2018.pdf
     January 01, 2018 - : The aims of this study were to: 1) examine dynamics of inter-professional knowledge exchange and learning … Several strategies are identified for the creation of a “learning health system,” to enable successful … Examine the dynamics of inter-professional knowledge exchange and learning related to EHR MedRec on … These learning dynamics in turn, were associated with improvements in both EHR-MedRec-MU measures. … • Create a “learning health system,” by synthesizing lessons learned to facilitate “collective learning

158. Learning from Primary Care EHR Exemplars About HIT Safety - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024327-ornstein-final-report-2018.pdf
     January 01, 2018 - Learning from Primary Care EHR Exemplars About HIT Safety - Final Report Project Title … : Learning from Primary Care EHR E xemplars About HIT Safety Principal Investigator: Steven … Practices should consider joining a practice-based research or learning network to help them … Learning from Primary Care Meaningful Use Exemplars. … AHRQ Centers for Primary Care Practice-Based Research and Learning.

159. Electronic Health Record Implementation for Continuum of Care in Rural Iowa | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/electronic-health-record-implementation-continuum-care-rural-iowa
     January 01, 2023 - to coordinate patient care across the network and beyond, 3) maximize use of clinical expertise and learning … consultation, C) changes in staff and physician perceptions of quality and safety, and D) organizational learning … and error reporting are affected, and vi) how an EHR/CPOE implementation influences organizational learning

160. Natural Language Processing System | Digital Healthcare Research
     digital.ahrq.gov/technology/natural-language-processing-system
     January 01, 2024 - Natural Language Processing System A Machine Learning Health System … 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 … and Prevention Among Hospitalized Patients Automated, machine learning-based … Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled