-
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.
-
digital.ahrq.gov/events/national-web-conference-applying-advanced-analytics-clinical-care
January 01, 2021 - Specifically, the panel featured findings from research projects that applied machine learning and natural … Learning Objectives:
At the conclusion of this Web conference, participants should be able to:
Review … how machine learning algorithms in conjunction with natural language processing can be used to identify … Evaluate the benefits of using EHR-integrated machine learning algorithms to identify patients with epilepsy … Describe how data mining and machine learning can help forecast adverse outcomes among surgical patients
-
digital.ahrq.gov/national-webinars/applying-advanced-analytics-clinical-care
January 01, 2023 - Specifically, the panel featured findings from research projects that applied machine learning and natural … Learning Objectives:
At the conclusion of this webinar, participants should be able to: Review how … machine learning algorithms in conjunction with natural language processing can be used to identify patients … Evaluate the benefits of using EHR-integrated machine learning algorithms to identify patients with epilepsy … Describe how data mining and machine learning can help forecast adverse outcomes among surgical patients
-
digital.ahrq.gov/principal-investigator/abraham-joanna
January 01, 2024 - Abraham, Joanna
Machine learning-augmented interventions in perioperative … Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis … EnhanCed HandOffs (ECHO)
Description
This research will develop and evaluate a machine learning-augmented … Systems
Predicting self-intercepted medication ordering errors using machine learning … Predicting self-intercepted medication ordering errors using machine learning.
-
digital.ahrq.gov/research-method/cost-benefit
January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning
-
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
-
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
-
digital.ahrq.gov/sites/default/files/docs/citation/r01hs026214-toh-final-report-2022.pdf
January 01, 2022 - Aim 2: Apply and assess machine learning and predictive modeling techniques to address less obvious … this aim through 2 case studies using supervised machine learning techniques to predict
missing data … Our analyses investigated by how much machine learning
and predictive modeling techniques could use … Aim 2:
Missing data prediction in distributed research networks using supervised machine learning … A comparison of machine learning
approaches. HCSRN’s 2021 Annual Conference.
-
digital.ahrq.gov/population/payer
September 01, 2024 - 75Q80120D00018
Patient-Centered Outcomes Research Clinical Decision Support Learning … Patient-Centered Outcomes Research Clinical Decision Support Learning Network - Final Report. … Project Name
Patient-Centered Outcomes Research Clinical Decision Support Learning Network … (EDM) Forum Second Phase
Description
The Electronic Data Methods (EDM) Forum facilitated learning … researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning
-
digital.ahrq.gov/medical-condition/bacterial-infection
January 01, 2023 - Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning … Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report … Project Name
Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning … Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning
-
digital.ahrq.gov/funding-mechanism/electronic-data-methods-edm-forum-second-phase-u18
January 01, 2023 - Enabling open science for health research: collaborative informatics environment for learning … Enabling open science for health research: collaborative informatics environment for learning on health … (EDM) Forum Second Phase
Description
The Electronic Data Methods (EDM) Forum facilitated learning … researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning
-
digital.ahrq.gov/principal-investigator/edmunds-margaret
January 01, 2023 - Enabling open science for health research: collaborative informatics environment for learning … Enabling open science for health research: collaborative informatics environment for learning on health … (EDM) Forum Second Phase
Description
The Electronic Data Methods (EDM) Forum facilitated learning … researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning
-
digital.ahrq.gov/sites/default/files/docs/citation/p30hs021645-fiks-final-report-2018.pdf
January 01, 2018 - National Center for Pediatric Practice Based Research & Learning - Final Report … Final Progress Report: National Center for Pediatric Practice Based Research & Learning … November 30, 2018
Title of Project: National Center for Pediatric Practice Based Research & Learning … Discussion
The Center for Pediatric Practice-Based Research and Learning (C-PRL), led by Dr. … : Practice-Based Research and Learning Networks
Across the Life Course conference.
-
digital.ahrq.gov/location/usa-ga-athens
January 01, 2023 - USA, GA, Athens
Machine Learning Validation of Medication Regimen Complexity … Pharmacist Resource Prediction
Description
This research will develop and validate machine learning … Drug Event Prediction
Description
This research will use artificial intelligence and machine learning
-
digital.ahrq.gov/organization/university-georgia
January 01, 2023 - University of Georgia
Machine Learning Validation of Medication Regimen … Pharmacist Resource Prediction
Description
This research will develop and validate machine learning … Drug Event Prediction
Description
This research will use artificial intelligence and machine learning
-
digital.ahrq.gov/health-it-tools-and-resources/health-it-bibliography/education-and-training/implementation-and
medical informatics for mid-career professionals, the authors aimed to implement and evaluate distance learning … The needs assessment indicated much interest in a medical informatics distance learning program, with … Although not assessed experimentally, the performance of distance learning students was superior to that … Medical informatics education can be successfully implemented by means of distance learning technologies … , with favorable student satisfaction and demonstrated learning.
-
digital.ahrq.gov/funding-mechanism/health-information-technology-it-improve-health-care-quality-and-outcomes-r21
January 01, 2023 - Technology (IT) to Improve Health Care Quality and Outcomes (R21)
Machine Learning … Pharmacist Resource Prediction
Description
This research will develop and validate machine learning … Proficiency and Complex Care Needs
Description
This research will test and validate a machine learning … in the Emergency Department
Description
This study created, trained, and tested machine learning … Number
R21 HS028104
Principal Investigator(s)
Zhang, Zhan
A Machine Learning
-
digital.ahrq.gov/sites/default/files/docs/citation/r18hs025638-yazdany-final-report-2022.pdf
January 01, 2022 - Structure of the RISE-PRO Learning Network. … Setting up the learning network using the IHI Model. … Learning sessions began in March 2019 followed by
hour-long webinars every 1 to 2 months; over 20 learning … The structure for a webinar learning session included a review of the
previous learning session’s proceedings … We successfully developed the RISE PRO Learning Network and conducted over 20 learning sessions
between
-
digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast
January 01, 2023 - Decision Support System
Dashboard
Electronic Health Record/Electronic Medical Record
Machine Learning … Novel machine learning algorithms were constructed to predict postoperative 30-day mortality, postoperative … ×
Disclaimer
Disclaimer details
Close
Use of machine learning … Use of machine learning to develop and evaluate models using preoperative and intraoperative data to … Using machine learning techniques to develop forecasting algorithms for postoperative complications:
-
digital.ahrq.gov/ahrq-funded-projects/hopscore-electronic-outcomes-based-emergency-triage-system
January 01, 2023 - Clinical Decision Support System
Electronic Health Record/Electronic Medical Record
Machine Learning … the tool was embedded in the electronic medical record (EMR) under the name “E-triage,” and machine learning … The project team deployed and prospectively evaluated E-triage, the machine-learning-based triage support … E-triage supported triage decision making by applying a machine learning algorithm to predict patients … The team concluded that E-triage applied machine learning to distill large volumes of patient data to