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401. Mainegeneral Medical Center | Digital Healthcare Research
     digital.ahrq.gov/organization/mainegeneral-medical-center
     January 01, 2023 - Implemented an outpatient EMR in a rural health system using distinct phases to match the expected learning

402. Semi-Automated Identification of Biomedical Literature - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r03hs027247-trikalinos-final-report-2020.pdf
     January 01, 2020 - system unifies the query formulation and citation screening processes by exploiting modern machine learning … represent the text of the citations in a form that can be used by information retrieval and machine learning … We then re-ranked the retrieved articles using a deep-learning model for joint document and snippet … The aim of citation screening with active learning is to minimize the workload while being as accurate … As the body of literature to be screened increases, tools that leverage machine learning have become

403. Harnessing health information technology to promote equitable care for patients with limited English proficiency and complex care needs. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/harnessing-health-information-technology-promote-equitable-care-patients-limited-english/citation/citation/harnessing
     January 01, 2024 - English Proficiency and Complex Care Needs Technology Artificial Intelligence Machine Learning

404. TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in ARDS – Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r18hs026188-gong-final-report-2022.pdf
     January 01, 2022 - We aimed to train a deep learning model using Long Short Term Memory (LSTM) framework and Active Learning … Active Learning To increase the size of the dataset, we used the “active learning” technique to provide … Active learning is commonly used when labeling data is time- consuming and expensive. … This was supported by our machine learning algorithm, ARDS Sniffer 2.0. … Active Learning Literature Survey. Computer Sciences Technical Report 1648.

405. The imperative for patient-centered clinical decision support. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/patient-centered-outcomes-research-clinical-decision-support-learning-network/citation/imperative
     January 01, 2023 - Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network

406. A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-allergy-documentation-and-clinical-decision-support-electronic-health/citation/dynamic
     January 01, 2023 - Decision Support in the Electronic Health Record Technology Artificial Intelligence Machine Learning

407. West Virginia Medical Institute | Digital Healthcare Research
     digital.ahrq.gov/organization/west-virginia-medical-institute
     January 01, 2023 - the reporting of medical errors and near misses, monitored safety event reporting, and developed a learning

408. USA, WV, Charleston | Digital Healthcare Research
     digital.ahrq.gov/location/usa-wv-charleston
     January 01, 2023 - the reporting of medical errors and near misses, monitored safety event reporting, and developed a learning

409. Accelerating Change and Transformation in Organizations and Networks (ACTION) IV | Digital Healthcare Research
     digital.ahrq.gov/funding-mechanism/accelerating-change-and-transformation-organizations-and-networks-action-iv
     January 01, 2023 - CDSiC) Description The Clinical Decision Support Innovation Collaborative (CDSiC) created a learning

410. Modeling patient-related workload in the emergency department using electronic health record data. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/cognitive-engineering-complex-decisionmaking-problem-solving-acute-care/citation/modeling
     January 01, 2023 - Solving in Acute Care Technology Electronic Health Record/Electronic Medical Record Machine Learning

411. Use of an electronic health record clinical decision support tool to improve antibiotic prescribing for acute respiratory infections: the ABX-TRIP study. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/research-centers-primary-care-practice-based-research-and-learning/citation/use
     January 01, 2023 - Ornstein, Steven Project Name Research Centers in Primary Care Practice-Based Research and Learning

412. Owora, Arthur Hamie | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/owora-arthur-hamie
     January 01, 2025 - Asthma Treatment Response Description This research is developing and evaluating a machine learning

413. Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/harnessing-health-information-technology-promote-equitable-care-patients-limited-english/citation/using
     January 01, 2023 - English Proficiency and Complex Care Needs Technology Artificial Intelligence Machine Learning

414. Mayo Clinic Rochester | Digital Healthcare Research
     digital.ahrq.gov/organization/mayo-clinic-rochester
     January 01, 2023 - Proficiency and Complex Care Needs Description This research will test and validate a machine learning

415. Long short-term memory model identifies ARDS and in-hospital mortality in both non-COVID-19 and COVID-19 cohort. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/treat-ecards-translating-evidence-action-electronic-clinical-decision-support/citation/long
     January 01, 2023 - Electronic Clinical Decision Support in Acute Respiratory Distress Syndrome Technology Machine Learning

416. Unsupervised clinical relevancy ranking of structured medical records to retrieve condition-specific information in the emergency department. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/natural-language-processing-identify-and-rank-clinically-relevant-information/citation/unsupervised
     January 01, 2023 - Information for EHRs in the Emergency Department Technology Artificial Intelligence Machine Learning

417. USA, MN, Rochester | Digital Healthcare Research
     digital.ahrq.gov/location/usa-mn-rochester
     January 01, 2023 - Proficiency and Complex Care Needs Description This research will test and validate a machine learning

418. Implementation of pharmacogenomic clinical decision support for health systems: a cost-utility analysis. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/customizing-value-based-methods-prioritize-implementation-pharmacogenomic/citation/implementation
     January 01, 2023 - Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning

419. Exploration and initial development of text classification models to identify health information technology usability-related patient safety event reports. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-evidence-based-user-centered-design-and-implementation-guidelines/citation/exploration
     January 01, 2023 - Improve Health Information Technology Usability Technology Artificial Intelligence Machine Learning

420. Optimizing corpus creation for training word embedding in low resource domains: a case study in Autism Spectrum Disorder (ASD). | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enabling-large-scale-research-autism-spectrum-disorders-through-automated/citation/optimizing
     January 01, 2023 - Technology Artificial Intelligence Electronic Health Record/Electronic Medical Record Machine Learning