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digital.ahrq.gov/sites/default/files/docs/pghd-slides-02222022.pdf
February 22, 2022 - Learning Objectives
At the conclusion of this webinar, participants should be able to:
1. … Assessing Readiness
Key Learning Concepts
• PGHD integration may mark a significant change in your … Active Learning Exercises
• ACTIVITY 2.1: Organizational Readiness
• ACTIVITY 2.2: Gauge Motivation … Active Learning Exercises
• ACTIVITY 3.1: Identify Your Team of Champions
• ACTIVITY 3.2: Assemble a … Making Decisions
Key Learning Concepts
• Identify information technology best suited to your PGHD
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digital.ahrq.gov/medical-condition/infectious-disease
January 01, 2025 - Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning … Machine-Learning Prediction Model for Personalized Urinary Tract 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/location/usa-ma-boston
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 … 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/ahrq-funded-projects/ehr-based-screening-tool-support-safe-discharges-covid-19-patients-emergency-department
September 29, 2023 - potential to improve morbidity and mortality from COVID-19 infection by identifying, through machine learning … /2023
Technology
Artificial Intelligence
Clinical Decision Support System
Machine Learning … The CERST was developed using natural language processing (NLP), machine learning (ML) algorithms, and … Semi-Structured Interview Technology: Artificial Intelligence , Clinical Decision Support System , Machine Learning
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digital.ahrq.gov/sites/default/files/docs/clinical-care-slides-10142020.pdf
October 14, 2020 - Review how machine learning algorithms in conjunction with natural language
processing can be used … Evaluate the benefits of using EHR-integrated machine learning algorithms to identify
patients with … Describe how data mining and machine learning can help forecast adverse outcomes
among surgical patients … "The learning healthcare system." (2007). … • We can improve pediatric care with unbiased machine learning
algorithms
• More opportunities for
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digital.ahrq.gov/ahrq-funded-projects/improving-missing-data-analysis-distributed-research-networks
January 01, 2023 - Dates
09/30/2018 - 09/29/2022
Technology
Artificial Intelligence
Database
Machine Learning … Aim 2: Apply and assess machine learning (ML) and predictive modeling techniques to address less-obvious … Document Type: Journal Publication Research Method: Algorithm , Quantitative Technology: Machine Learning … , Predictive Modeling Population: Researcher
Applying machine learning in distributed data networks … Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance
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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
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digital.ahrq.gov/location/usa-sc-charleston
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 … R21 HS023863
Principal Investigator(s)
Cartmell, Kathleen Buford
Learning … Basco, William
Research Centers in Primary Care Practice-Based Research and Learning
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digital.ahrq.gov/type-care/pediatrics
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 … Asthma Treatment Response
Description
This research is developing and evaluating a machine learning
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digital.ahrq.gov/technology/natural-language-processing-system
January 01, 2024 - Number
R03 HS030307
Principal Investigator(s)
Biro, Joshua
A Machine Learning … 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
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digital.ahrq.gov/sites/default/files/docs/adult-depression-slides-06152022.pdf
June 15, 2022 - • Questions will be read aloud by the
moderator.
4
Learning Objectives
At the conclusion of this … Carolyn Turvey, PhD
carolyn-turvey@uiowa.edu
49
mailto:carolyn-turvey@uiowa.edu
Reinforcement Learning … Machine Learning
Supervised Machine
Learning
Unsupervised Machine
Learning
Reinforcement
learning … Reinforcement Learning messages
2. Random messages
3. … Intervention
Slide Number 64
Reinforcement Learning
Important Terms
The Reinforcement Learning Process
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digital.ahrq.gov/sites/default/files/ahrq-dhr-2023-year-in-review-at-a-glance.pdf
January 01, 2023 - Investigator(s) Type
Improving Safety in Postoperative
Handoff Communication with
Telemedicine and Machine Learning … $1,996,227
Implementing a postoperative handoff interven-
tion augmented with telemedicine and machine
learning … McWilliams
Carolinas Medical Center
Completed
Using Machine Learning for Military
Service Members … Systems in
Advancing Care Delivery
Story Title Impact Statement Principal Investigator(s) Type
Machine Learning … Research Investment: $1,952,312
The use of an emergency department triage tool
informed by machine learning
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs024983-pratap-final-report-2019.pdf
January 01, 2019 - Machine learning classifiers were developed to predict all patient-related cancellations
and the most … By learning from a set of training data, machine
learning algorithms construct a predictive model to … The balanced data were then used to train the machine learning algorithms. … Performance of different machine learning classifiers for the Burnet campus dataset. … Performance of different machine learning classifiers for the Liberty campus dataset.
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digital.ahrq.gov/principal-investigator/carroll-aaron
January 01, 2023 - Name
Computer Automated Developmental Surveillance and Screening
Machine learning … Machine learning techniques for prediction of early childhood obesity. … Patient-tailored prioritization for a pediatric care decision support system through machine learning … Patient-tailored prioritization for a pediatric care decision support system through machine learning
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digital.ahrq.gov/health-care-theme/adverse-events
January 01, 2023 - Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction … Description
This research will develop and validate machine learning enhanced predictive models … Drug Event Prediction
Description
This research will use artificial intelligence and machine learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning
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digital.ahrq.gov/funding-mechanism/policy-relevant-evaluations-inform-development-health-it-meaningful-use-objectives
January 01, 2023 - Learning from primary care meaningful use exemplars. … Learning from primary care meaningful use exemplars. J Am Board Fam Med 2015;28(3):360-70. … Principal Investigator
Ornstein, Steven
Project Name
Learning from Primary Care Meaningful … Principal Investigator
Ornstein, Steven
Project Name
Learning from Primary Care Meaningful
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digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/balanced-scorecard
January 01, 2023 - The four perspectives are: 1) financial, 2) customer, 3) internal business processes, and 4) learning … EACH OF THE FOUR PERSPECTIVES MEANS for the organization: customer, internal business, innovation and learning
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digital.ahrq.gov/ahrq-funded-projects/learning-primary-care-ehr-exemplars-about-health-it-safety
January 01, 2023 - Learning From Primary Care EHR Exemplars About Health IT Safety
Project Final Report … Learning From Primary Care EHR Exemplars About Health IT Safety - Final Report Citation: Ornstein S. … Learning From Primary Care EHR Exemplars About Health IT Safety - Final Report. … Principal Investigator: Ornstein, Steven Project Name: Learning From Primary Care EHR Exemplars About
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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/principal-investigator/wasserman-richard
January 01, 2023 - Richard
National Center for Pediatric Practice Based Research and Learning … Wasserman, Richard
Project Name
National Center for Pediatric Practice-Based Research and Learning