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361. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention among Hospitalized Patients - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs028511-held-final-report-2024.pdf
     January 01, 2024 - confounding variables by representing them in a lower-dimensional space and encouraging the model to learn

362. Patient Safety | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/patient-safety
     January 01, 2023 - Patient Safety Bedside Notes: A Multicenter Trial to Improve Family Clinical Note Access and Outcomes for Hospitalized Children Description This research will evaluate the effectiveness of Bedside Notes, a digital health solution designed to provide caregivers with real-time a…

363. Clinical Decision Making | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/clinical-decision-making
     January 01, 2023 - Clinical Decision Making Artificial Intelligence and Human Factors in Healthcare Quality & Safety Description Using a conference model, this study convenes a multidisciplinary group of experts to explore the integration of human factors engineering approaches in the implementa…

364. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024988-leroy-final-report-2020.pdf
     January 01, 2020 - Each type of feature captures different information about the data, while different algorithms learn … A bidirectional LSTM (BI-LSTM) could not learn the labels for the seven scarcest classes, but saw an … Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research. 2012;12. 23.

365. An Age-Friendly Learning Healthcare System: A Transformative Digital Solution for Geriatrics Clinics | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/age-friendly-learning-healthcare-system-transformative-digital-solution
     April 01, 2024 - An Age-Friendly Learning Healthcare System: A Transformative Digital Solution for Geriatrics Clinics Project Description Integrated, interoperable, point-of-care digital tools hold promise for enhancing shared decision-making in Age-Friendly care, advancing clinical practice, a…

366. 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 - Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE PRO) Dissemination Project – Final Report 1 Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE-PRO) Dissemination Project Principal Investigator: Jinoos Yazdany, MD, MPH Co-investi…

367. Cost-Benefit/Cost-Effectiveness | Digital Healthcare Research
     digital.ahrq.gov/research-method/cost-benefit
     January 01, 2023 - Cost-Benefit/Cost-Effectiveness Contribution of continuous virtual monitoring to hospital safety, quality, and value of care for COVID-19 patients. Citation Morrow C, Wheeler D, Dooley M, Warr E, Kruis R, King K, Harvey J, Simpson KN. Contribution of continuous virtual monitor…

368. Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/identifying-sepsis-phenotypes-associated-antibiotic-resistant-pathogens-using
     January 01, 2025 - Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning Project Description Publications Identifying when broad-spectrum antibiotics can be safely avoided in suspected sepsis has the potential to impro…

369. Quality Improvement | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/quality-improvement
     January 01, 2023 - Quality Improvement Artificial Intelligence and Human Factors in Healthcare Quality & Safety Description Using a conference model, this study convenes a multidisciplinary group of experts to explore the integration of human factors engineering approaches in the implementation …

370. Creating an Evidence Base for Vision Rehabilitation | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/creating-evidence-base-vision-rehabilitation
     January 01, 2023 - How many sessions do you need to learn how to be a competent traveler?

371. AHRQ National Webinar on Transforming Healthcare Through Patient-Generated Health Data Integration - Slides (pdf file)
     digital.ahrq.gov/sites/default/files/docs/pghd-slides-02222022.pdf
     February 22, 2022 - Learn different technical architectures and workflows that support the collection and integration of … your target group of patients. • Develop a workflow to support staff engagement and program design. • Learn

372. Improving Accuracy of Electronic Notes Using a Faster, Simpler Approach | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-accuracy-electronic-notes-using-faster-simpler-approach
     January 01, 2023 - to creating notes using VGEENS, citing prior negative experiences with dictation and reluctance to learn

373. Closing the Feedback Loop to Improve Diagnostic Quality | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/closing-feedback-loop-improve-diagnostic-quality
     January 01, 2023 - They therefore rarely learn whether their assessment was accurate and whether the prescribed treatment

374. Enabling open science for health research: collaborative informatics environment for learning on health outcomes (CIELO). | Digital Healthcare Research
     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 outcomes (CIELO). Citation Payne P, Lele O, Johnson B, et al. Enabling open science for health research: collaborative informatics environment for learning on health outcomes (CIELO). J Med Internet…

375. 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 - Health Information Technology (IT) to Improve Health Care Quality and Outcomes (R21) Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction Description This research will develop and validate machine learning enhanced pred…

376. Bacterial Infection | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/bacterial-infection
     January 01, 2023 - Bacterial Infection Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report Citation Sherwin R. Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report. (Prepared by Wayne State U…

377. Learning from errors: analysis of medication order voiding in CPOE systems. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/tools-optimizing-medication-safety-top-meds/citation/learning-errors-analysis
     January 01, 2023 - Learning from errors: analysis of medication order voiding in CPOE systems. Citation Kannampallil TG, Abraham J, Solotskaya A, et al. Learning from errors: analysis of medication order voiding in CPOE systems. J Am Med Inform Assoc 2017 Feb 19. doi: 10.1093/jamia/ocw187. PMID: 28339698. Link h…

378. Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/decision-making-and-clinical-work-test-result-followup-health-information/citation/learning
     January 01, 2023 - Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety. Citation Giardina TD, Haskell H, Menon S, et al. Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety. Health Aff (Millwood). 2018 Nov;3…

379. Patient-tailored prioritization for a pediatric care decision support system through machine learning. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/computer-automated-developmental-surveillance-and-screening/citation/patient
     January 01, 2023 - Patient-tailored prioritization for a pediatric care decision support system through machine learning. Citation Klann JG, Anand V, Downs SM. Patient-tailored prioritization for a pediatric care decision support system through machine learning. J Am Med Inform Assoc 2013 Dec;20(e2):e267-74. PMID: 23886…

380. The implementation of a perinatal continuum of care information system: lessons learned. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/data-flow-clinical-outcomes-perinatal-continuum-care-system/citation/implementation
     January 01, 2023 - The implementation of a perinatal continuum of care information system: lessons learned. Citation Levick D, Sheinberg M. The implementation of a perinatal continuum of care information system: lessons learned. JHIM 2013 Spring; 27(2):56-63. Link http://www.jhimdigital.org/jhim/spring_2013?pg=…