Results

Total Results: 1,622 records

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

  1. 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
  2. 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
  3. 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.
  4. digital.ahrq.gov/principal-investigator/pak-theodore-r
    January 01, 2023 - 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
  5. 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
  6. 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.
  7. digital.ahrq.gov/program/division-research-education-office-extramural-research-education-and-priority-populations
    January 01, 2023 - 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
  8. 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
  9. digital.ahrq.gov/principal-investigator/grannis-shaun
    January 01, 2023 - of Operational Health Information Exchange Comparison of supervised machine learning … Comparison of supervised machine learning and probabilistic approaches for record linkage. … Patient Matching in Support of Operational Health Information Exchange Machine learning … Machine learning approaches to identify nicknames from a statewide Health Information Exchange.
  10. digital.ahrq.gov/funding-mechanism/mentored-clinical-scientist-research-career-development-award-k08
    January 01, 2023 - Clinical Scientist Research Career Development Award (K08) 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
  11. digital.ahrq.gov/care-setting/hospital
    January 01, 2023 - Principal Investigator(s) Abraham, Olufunmilola ML-ROVER: Machine Learning … Description The study will develop, validate, implement, and assess the usability of a 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
  12. digital.ahrq.gov/technology/predictive-modeling
    January 01, 2023 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning … Asthma Treatment Response Description This research is developing and evaluating a machine learning … HS029088 Principal Investigator(s) Owora, Arthur Hamie Applying machine learning … Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance
  13. digital.ahrq.gov/ahrq-funded-projects/treat-ecards-translating-evidence-action-electronic-clinical-decision-support
    January 01, 2023 - Project Description Publications A clinical decision support system that uses machine learning … Technology Artificial Intelligence Clinical Decision Support System Dashboard Machine Learning … They then developed a deep learning model to identify patients with ARDS as part of ARDS Sniffer 2.0. … Document Type: Journal Publication Research Method: Algorithm , Quantitative Technology: Machine Learning … Retrospective Technology: Artificial Intelligence , Clinical Decision Support System , Dashboard , Machine Learning
  14. digital.ahrq.gov/principal-investigator/crossdori
    January 01, 2024 - Cross, Dori Digital supervision in the clinical learning environment … Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health
  15. digital.ahrq.gov/document-type/conference-proceeding
    January 01, 2024 - of Operational Health Information Exchange Comparison of supervised machine learning … Comparison of supervised machine learning and probabilistic approaches for record linkage. … Patient Matching in Support of Operational Health Information Exchange Machine learning … Machine learning approaches to identify nicknames from a statewide Health Information Exchange.
  16. digital.ahrq.gov/technology/mobile-phone-0
    January 01, 2024 - COACH) Effectiveness of a digital health intervention leveraging reinforcement learning … Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes … Location-Based Smartphone Alerts Within a System of Care Coordination Adaptive learning … Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design
  17. digital.ahrq.gov/ahrq-funded-projects/use-ehr-metadata-assess-hospital-discharge-planning-post-acute-transitions
    January 31, 2025 - inconsistencies and identify best practices in preparing patients for discharge, powering cycles of learning … Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health … Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health
  18. 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.
  19. digital.ahrq.gov/organization/cincinnati-childrens-hospital-medical-center
    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
  20. digital.ahrq.gov/ahrq-funded-projects/success-stories/building-foundation-health-information-exchange-improve-poison-control
    January 01, 2023 - Copyright Notice (2): The license to use "Beneficial Learning,"by simming, was purchased for AHRQ on … 4/1/14 through Envato Marketplaces at https://audiojungle.net/item/benificial-learning/7237722

Search the AHRQ Archive

Information and reports more than 5 years old may be found in the AHRQ Archive site.

Search Archive

Search Within A Specific AHRQ Site

You selected to view results for the following site: