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digital.ahrq.gov/ahrq-funded-projects/improving-diabetes-and-depression-self-management-adaptive-mobile-messaging/citation/adaptive
January 01, 2023 - Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design … Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design … Diabetes and Depression Self-Management Via Adaptive Mobile Messaging
Technology
Machine Learning
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digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care/citation/machine
January 01, 2023 - Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. … Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. … Critical Care Pharmacist Resources Through Adverse Drug Event Prediction
Technology
Machine Learning
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digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/early
January 01, 2023 - Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Clinicians About Epilepsy Surgery Patients
Technology
Artificial Intelligence
Machine Learning
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digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast/citation/use
January 01, 2023 - Use of machine learning to develop and evaluate models using preoperative and intraoperative data to … Use of machine learning to develop and evaluate models using preoperative and intraoperative data to … Feedback Alerts to Supplement Treatment (ACTFAST)
Technology
Artificial Intelligence
Machine Learning
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digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute/citation/mining
January 01, 2023 - Mining patient-specific and contextual data with machine learning technologies to predict cancellation … Mining patient-specific and contextual data with machine learning technologies to predict cancellation … Technology
Artificial Intelligence
Electronic Health Record/Electronic Medical Record
Machine Learning
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digital.ahrq.gov/ahrq-funded-projects/enhanced-handoffs-echo
January 01, 2024 - Project Description
Publications
Research Story
Implementing a machine learning-augmented … Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis … Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis … By harnessing state of-the-art machine learning and telemedicine innovations, I am confident that our … to Improve Patient Triage in the Emergency Department Using Machine Learning for Military Service
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digital.ahrq.gov/ahrq-funded-projects/improving-diabetes-and-depression-self-management-adaptive-mobile-messaging/citation/effectiveness
January 01, 2024 - Effectiveness of a digital health intervention leveraging reinforcement learning: Results from the Diabetes … Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes … Self-Management Via Adaptive Mobile Messaging
Technology
Artificial Intelligence
Machine Learning
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digital.ahrq.gov/funding-mechanism/research-centers-primary-care-practice-based-research-and-learning
January 01, 2023 - Research Centers in Primary Care Practice Based Research and Learning … Fiks, Alexander
Project Name
National Center for Pediatric Practice-Based Research and Learning … Research Centers in Primary Care Practice Based Research and Learning - Final … Research Centers in Primary Care Practice Based Research and Learning - Final Report. … Research Centers in Primary Care Practice-Based Research and Learning
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digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients
January 01, 2023 - This research prospectively evaluated a machine learning algorithm that identified surgical candidates … The research showed that an EHR-integrated machine learning algorithm can aid clinicians in identifying … Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled … Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.
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digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute
January 01, 2023 - Close
Project Description
Publications
The use of machine learning … Machine learning uses computerized algorithms to identify patterns among a dataset that can be used to … Machine learning classifiers were formed to predict patient-related cancellations. … The findings found that machine learning to predict surgery cancellation is feasible, particularly with … Mining patient-specific and contextual data with machine learning technologies to predict cancellation
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digital.ahrq.gov/ahrq-funded-projects/leveraging-health-system-telehealth-and-informatics-infrastructure-create/final-report
January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning
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digital.ahrq.gov/ahrq-funded-projects/ml-rover-machine-learning-reduce-laboratory-test-overutilization
August 01, 2024 - ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization
Project … Description
Implementing a validated machine learning based clinical decision support … /2026
Technology
Artificial Intelligence
Clinical Decision Support System
Machine Learning … While machine learning (ML) offers a promising path for reducing laboratory overuse by enhancing CDS
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digital.ahrq.gov/ahrq-funded-projects/machine-learning-prediction-model-personalized-urinary-tract-infection-care
July 01, 2024 - Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children … Dates
07/01/2024 - 06/30/2029
Technology
Clinical Decision Support System
Machine Learning … The specific aims of the research are as follows: Assess determinants of machine learning (ML) algorithm … demonstrating a scalable, proof-of-concept algorithm that can be applied to other conditions, advancing a learning
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digital.ahrq.gov/ahrq-funded-projects/achieving-individualized-precision-prevention-ipp-through-scalable
January 01, 2023 - Close
Project Description
Publications
The use of novel learning … The idea of a learning health system (LHS) has gained increasing recognition since the appearance of … The learning cycle is completed by direct application of that knowledge to change practice. … Changed practice generates new data, driving the next iteration of the learning cycle, which leads to … KGrid includes knowledge objects, a digital library to hold and manage learning objects, and an activator
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digital.ahrq.gov/sites/default/files/docs/citation/u18hs024849-blumenfeld-final-report-2020.pdf
January 01, 2020 - Decision Support Learning Network (PCCDS-LN or “the Learning Network”), was
created as a multistakeholder … Learning Network Structure
5
Data Sources and Interventions
The intent of the Learning Network … Website and Resource Center
The Learning Network planned the development of a website to guide Learning … The Learning Network Self-Evaluation
At its inception, the Learning Network was charged to monitor and … learning?
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digital.ahrq.gov/ahrq-funded-projects/improving-diabetes-and-depression-self-management-adaptive-mobile-messaging
January 01, 2024 - Project Description
Publications
Events
The use of reinforcement learning … Project Dates
09/01/2017 - 06/30/2022
Technology
Artificial Intelligence
Machine Learning … One promising strategy is implementing adaptive learning, which enables the prediction of which information … This research used machine learning algorithms to customize and distribute health messages to people … This supports the use of reinforcement learning algorithms for personalizing text messaging interventions
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digital.ahrq.gov/ahrq-funded-projects/connected-cancer-care-ehr-communication-networks-virtual-cancer-care-teams/citation/patient
January 01, 2024 - Patient care in complex Sociotechnological ecosystems and learning health systems. … Patient care in complex Sociotechnological ecosystems and learning health systems.
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digital.ahrq.gov/ahrq-funded-projects/academyhealth-electronic-data-methods-edm-forum-second-phase/citation/enabling
January 01, 2023 - Enabling open science for health research: collaborative informatics environment for learning on health … Enabling open science for health research: collaborative informatics environment for learning on health
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digital.ahrq.gov/ahrq-funded-projects/computer-automated-developmental-surveillance-and-screening/citation/machine
January 01, 2023 - Machine learning techniques for prediction of early childhood obesity. … Machine learning techniques for prediction of early childhood obesity.
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digital.ahrq.gov/ahrq-funded-projects/use-ehr-metadata-assess-hospital-discharge-planning-post-acute-transitions/citation/digital
January 01, 2024 - 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