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121. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report (pdf file)
     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.

122. A National Web Conference on Applying Advanced Analytics in Clinical Care | Digital Healthcare Research
     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

123. Applying Advanced Analytics in Clinical Care | Digital Healthcare Research
     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

124. Abraham, Joanna | Digital Healthcare Research
     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.

125. Cost-Benefit/Cost-Effectiveness | Digital Healthcare Research
     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

126. Learning From Primary Care EHR Exemplars About Health IT Safety | Digital Healthcare Research
     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

127. Balanced Scorecard | Digital Healthcare Research
     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

128. Improving Missing Data Analysis in Distributed Research Networks – Final Report (pdf file)
     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.

129. Payer | Digital Healthcare Research
     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

130. Bacterial Infection | Digital Healthcare Research
     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

131. Electronic Data Methods (EDM) Forum: Second Phase (U18) | Digital Healthcare Research
     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

132. Edmunds, Margaret | Digital Healthcare Research
     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

133. National Center for Pediatric Practice Based Research & Learning - Final Report (pdf file)
     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.

134. USA, GA, Athens | Digital Healthcare Research
     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

135. University of Georgia | Digital Healthcare Research
     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

136. Implementation and evaluation of a medical informatics distance education program | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     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.

137. Health Information Technology (IT) to Improve Health Care Quality and Outcomes (R21) | Digital Healthcare Research
     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

138. Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE PRO) Dissemination Project – Final Report (pdf file)
     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

139. Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) | Digital Healthcare Research
     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:

140. HopScore: An Electronic Outcomes-Based Emergency Triage System | Digital Healthcare Research
     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