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Showing results for "transition".
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digital.ahrq.gov/type-care/tertiary-careJanuary 01, 2023 - Tertiary Care ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization Description The study will develop, validate, implement, and assess the usability of a machine learning based clinical decision support tool designed to reduce laboratory testing overutilization…
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digital.ahrq.gov/sites/default/files/docs/page/NY_CaseStudy_0.pdfJuly 01, 2010 - made with the knowledge that the pharmacies benefit from the increased efficiency associated with the transition
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digital.ahrq.gov/care-setting/community-health-centerJanuary 01, 2023 - Community Health Center 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 timing and use for diagnosing vesicouret…
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digital.ahrq.gov/ahrq-funded-projects/promoting-patient-safety-web-based-patient-profilesJanuary 01, 2023 - Promoting Patient Safety with Web-based Patient Profiles Project Description Publications Project Details - Completed Grant Number P20 HS014885 Funding Mechanism(s) Transforming Healthcare Quality Through Information Technology (T…
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digital.ahrq.gov/location/usa-mn-minneapolisJanuary 01, 2023 - USA, MN, Minneapolis Use of Electronic Health Record Metadata to Assess Hospital Discharge Planning for Post-Acute Transitions Description This research will develop and test novel approaches for using electronic health record metadata to characterize and evaluate hospital dis…
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digital.ahrq.gov/health-care-theme/technology-usabilityJanuary 01, 2023 - Technology Usability Assessing the Effects of EHR Optimization Interventions in Primary Care Description This research evaluates the adoption and impact of three electronic health record-optimization interventions—scribes, advanced team-based inbox management, and artificial i…
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digital.ahrq.gov/funding-mechanism/health-information-technology-it-improve-health-care-quality-and-outcomes-r21January 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…
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digital.ahrq.gov/program-overview/research-stories/designing-digital-healthcare-technology-support-cognitive-teamJanuary 01, 2023 - Designing Digital Healthcare Technology to Support Cognitive Team Work in Pediatric Trauma Settings Theme: Optimizing Care Delivery for Clinicians Subtheme: Optimizing Data Visualization to Improve Care Simple and informative graphic displays in emergency department trauma bays can streaml…
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digital.ahrq.gov/ahrq-funded-projects/community-shared-clinical-abstract-improve-careJanuary 01, 2023 - A Community-Shared Clinical Abstract to Improve Care Project Final Report ( PDF , 98.16 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily represent the views of AHRQ. N…
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digital.ahrq.gov/ahrq-funded-projects/randomized-controlled-trial-embedded-electronic-health-record/annual-summary/2012January 01, 2012 - Randomized Control Trial Embedded in an Electronic Health Record - 2012 Project Name Randomized Controlled Trial Embedded in an Electronic Health Record Principal Investigator Kahn, James Organization University of California, San Francisco Funding Mechanism RFA: HS…
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Chronic Mental Health: Improving Outcomes through Ambulatory Care Coordination - Final Report (pdf file)
digital.ahrq.gov/sites/default/files/docs/publication/r18hs017838-baker-final-report-2013.pdfJanuary 01, 2013 - Persons with mental illness face challenges when crucial information is not available as they transition -
digital.ahrq.gov/ahrq-funded-projects/advancing-population-and-public-health-reporting-and-outcomes-vaccination-data-exchange-approveJanuary 01, 2024 - The power of vaccinations during the COVID-19 pandemic was evident; they enabled the transition from
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digital.ahrq.gov/medical-condition/congestive-heart-failure-chfJanuary 01, 2024 - Congestive Heart Failure (CHF) Comparison of short-term health care utilization between telemedicine-delivered vs in-person care visits for heart failure. Citation Casey SD, Sax DR, Mark DG, Rana JS, Solomon MD, Huang J, Reed ME. Comparison of short-term health care utilizatio…
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digital.ahrq.gov/population/individuals-disabilitiesJanuary 01, 2024 - Individuals with Disabilities School-Based Tele-Physiatry Assistance for Rehabilitative and Therapeutic Services (STARS) for Children with Special Health Care Needs Living in Rural and Underserved Communities - Final Report Citation Marcin J. School-Based Tele-Physiatry Assist…
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digital.ahrq.gov/care-setting/hospitalJanuary 01, 2023 - Hospital Disseminating and Implementing MedSMA℞T Families in Emergency Departments: A Randomized Control Trial to Assess Effectiveness of an Evidence-Based Gaming Intervention to Reduce Opioid Misuse Description This research tests the effectiveness of MedSMA℞T Mobile, a mobil…
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digital.ahrq.gov/care-setting/academic-medical-centerJanuary 01, 2023 - Academic Medical Center 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 timing and use for diagnosing vesicouret…
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digital.ahrq.gov/medical-condition/renal-kidney-diseaseJanuary 01, 2023 - Renal (Kidney) Disease 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 timing and use for diagnosing vesicourete…
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digital.ahrq.gov/funding-mechanism/ambulatory-safety-and-quality-program-improving-quality-through-clinician-useJanuary 01, 2023 - Ambulatory Safety and Quality Program: Improving Quality through Clinician Use of Health IT (R18) Factors associated with ordering laboratory monitoring of high-risk medications. Citation Fischer SH, Tjia J, Reed G, et al. Factors associated with ordering laboratory monitoring…
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digital.ahrq.gov/technology/dataJanuary 01, 2023 - Data IMProving Outcomes Related to Patients Through Advanced Nursing Technology (IMPORTANT) – Final Report Citation Sun C. IMProving Outcomes Related to Patients Through Advanced Nursing Technology (IMPORTANT) – Final Report. (Prepared by Hunter College under Grant No. R03 HS0…
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digital.ahrq.gov/ahrq-funded-projects/automatic-notification-system-test-results-finalized-after-discharge/annual-summary/2011January 01, 2011 - An Automatic Notification System for Test Results Finalized after Discharge - 2011 Project Name An Automatic Notification System for Test Results Finalized after Discharge Principal Investigator Dalal, Anuj K. Organization Brigham and Women's Hospital Funding Mechanis…
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