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  1. 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
  2. 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
  3. 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
  4. digital.ahrq.gov/sites/default/files/docs/citation/r01hs025429-aguilera-final-report-2022.pdf
    January 01, 2022 - Conclusions: Our study supports the use of reinforcement learning algorithms for personalizing text … be effective for users, learning from its previous actions and participant data collected by mobile … However, the message categories, timing and frequency were optimized by a reinforcement learning ( … Adaptive learning algorithm We developed an RL algorithm (an area of machine learning) based on previous … Conference on Learning Theory, 2012. 31.
  5. 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
  6. 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
  7. 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
  8. digital.ahrq.gov/sites/default/files/docs/citation/cds-evaluation-summary-report-p233201500023I.pdf
    March 23, 2022 - PCCDS Learning Network Webinar. November 2016. • Greenes B. … PCCDS Learning Network Webinar. January 2017. … PCCDS Learning Network Webinar. June 2017. • Jellison J, Middleton B. … PCCDS Learning Network Webinar. September 2017. • Wilder Smith A. … PCCDS Learning Network Webinar. July 2017.
  9. digital.ahrq.gov/sites/default/files/docs/publication/PreventiveCareHandbook_062912comp.pdf
    June 01, 2012 - General learninG CollaboraTive Timeline and aGenda Learning collaborative #1: 4 months prior to implementation … Discuss the goals and role of the learning collaborative. … Specific team members include — ● Learning collaborative facilitator (1) ● Learning collaborative … ● Peer-to-peer learning. ● Ongoing feedback and reinforcement. … The fifth discipline: the art & practice of the learning organization.
  10. 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
  11. 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.
  12. 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
  13. digital.ahrq.gov/ahrq-funded-projects/complexity-incidence-and-costs-related-delayed-diagnosis-venous
    September 01, 2024 - Project Description Using a mixed method approach including machine learning … Project Dates 09/01/2024 - 06/30/2028 Technology Artificial Intelligence Machine Learning
  14. 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?
  15. 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.
  16. digital.ahrq.gov/population/physician
    January 01, 2025 - Principal Investigator(s) Bates, David Rotenstein, Lisa Machine-Learning … Infection Care in Children Description The study will develop and implement a validated machine learning … 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
  17. digital.ahrq.gov/ahrq-funded-projects/ml-rover-machine-learning-reduce-laboratory-test-overutilization/citation/picu
    January 01, 2025 - Project Name ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization Technology … Artificial Intelligence Clinical Decision Support System Machine Learning Population
  18. 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).
  19. digital.ahrq.gov/principal-investigator/wang-hsin-hsiao-scott
    January 01, 2023 - Wang, Hsin-Hsiao Scott Machine-Learning Prediction Model for Personalized … Infection Care in Children Description The study will develop and implement a validated machine learning
  20. digital.ahrq.gov/research-method/retrospective
    January 01, 2025 - Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning … A Machine Learning Health System to Integrate Care for Substance Misuse and … 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

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