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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
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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
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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.
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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
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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
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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.
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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
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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
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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.
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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
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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
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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
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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
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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
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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.
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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
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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
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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.
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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
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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