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Total Results: 1,710 records

Showing results for "learned".

321. Mobile Patient-Reported Outcomes for Value and Effectiveness (mPROVE) - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/u18hs026883-jih-final-report-2024.pdf
     January 01, 2024 - However, the most significant implication of this project are the lessons learned in undertaking a project … To that end, we are in the final stages of a manuscript reported on the lessons learned from the mPROVE

322. Health Information Technology and Improving Medication Use | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-and-improving-medication-use
     January 01, 2023 - Record , Electronic Prescribing , Health Information Exchange , Voice Recognition Lessons learned … Lessons learned from implementation of a computerized application for pending tests at hospital discharge

323. Chronic Care Technology Planning Project (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/p20hs014949-branscombe-final-report-2005.pdf
     January 01, 2005 - The Team met four times in the final quarter of the project year to discuss lessons learned, identify … The learning sessions’ content will consist of information learned from the Leadership, Clinical and … What should we do next to advance what we’ve learned?

324. Learning from Primary Care Meaningful Use Exemplars - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r18hs022701-ornstein-final-report-2014.pdf
     January 01, 2014 - reengineering our healthcare system.(4) However, it has been recognized that more needs to be learned … Synthesizing Lessons Learned Within a Practice-Based Research Network (PPRNet). 26th Annual Conference

325. Blumenfeld, Barry H. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/blumenfeld-barry-h
     January 01, 2023 - Blumenfeld, Barry H. A Stakeholder-driven Action Plan for Improving Pain Management, Opioid Use and Opioid Use Disorder Treatment Through Patient-Centered Clinical Decision Support. Citation Osheroff JA, Blumenfeld BH, Richardson JE, Lasater B and the Opioid Action Plan Worki…

326. Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients
     January 01, 2023 - Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients Project Final Report ( PDF , 647.83 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…

327. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute
     January 01, 2023 - Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation Project Final Report ( PDF , 1.1 MB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and …

328. Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhanced-handoffs-echo/citation/machine
     January 01, 2024 - Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis. Citation Mehta D, Gonzalez XT, Huang G, Abraham J. Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis. Br J Anaesth. 2024 Dec;133(6):1159-1172. doi:…

329. 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 - Fiks A, "Spurring Adoption of Patient Portals to Collect Patient-Reported Outcomes: Lessons Learned".

330. Ornstein, Steven | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/ornstein-steven
     January 01, 2023 - Ornstein, Steven 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. (Prepared by Medical University of South Carolina under Grant No. R21 HS024327).…

331. Implementation and Evaluation of an Automated Email Notification System for Results of Tests Pending at Discharge - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r21hs018229-dalal-final-report-2012.pdf
     January 01, 2012 - Based on previous work we learned that to successfully implement HIT to address this issue, the technology … Design considerations of HIT intervention We incorporated lessons learned from a previous, unsuccessful … attempt at implementing a computerized results manager application at our institution.4 We learned … Lessons learned from implementation of a computerized application for pending tests at hospital discharge

332. Achieving Individualized Precision Prevention (IPP) through Scalable Infrastructure Employing the USPSTF Recommendations in Computable Form | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/achieving-individualized-precision-prevention-ipp-through-scalable
     January 01, 2023 - Achieving Individualized Precision Prevention (IPP) through Scalable Infrastructure Employing the USPSTF Recommendations in Computable Form Project Final Report ( PDF , 696.89 KB) Disclaimer Disclaimer   The findings and conclusions in this document are those of the author(s), …

333. Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/cluster
     January 01, 2023 - Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. Citation Sikora A, Jeong H, Yu M, Chen X, Murray B, Kamaleswaran R. Cluster analysis driven by unsupervised latent feature learning of medications to identify…

334. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/unsupervised
     January 01, 2023 - Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. Citation Keats K, Deng S, Chen X, Zhang T, Devlin JW, Murphy DJ, Smith SE, Murray B, Kamaleswaran R, Sikora A. Unsupervised machine learning analysis to identify patterns of ICU medication …

335. Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-emr-based-real-time-sepsis-alert-system-performance-through-machine
     January 01, 2023 - Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning Project Final Report ( PDF , 705.19 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 necess…

336. Learning from Primary Care Meaningful Use Exemplars | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/learning-primary-care-meaningful-use-exemplars
     January 01, 2023 - Learning from Primary Care Meaningful Use Exemplars Project Final Report ( PDF , 358.17 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…

337. 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
     October 31, 2024 - Harnessing Health Information Technology to Promote Equitable Care for Patients with Limited English Proficiency and Complex Care Needs Project Description Publications Research Story A machine learning predictive analytic intervention has the potential to improve h…

338. Santa Cruz County Diabetes Mellitus Registry | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/santa-cruz-county-diabetes-mellitus-registry
     January 01, 2023 - Lessons learned regarding the challenges of registry development, adoption and sustainability led to

339. Using mHealth and Patient-Reported Outcomes to Deliver Evidence-Based Asthma Care | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/using-mhealth-and-patient-reported-outcomes-deliver-evidence-based-asthma-care
     January 01, 2023 - Opportunities for Digital Healthcare: Lessons Learned from the COVID-19 Pandemic AHRQ hosted a Web conference

340. An Etiology for Medication Ordering Errors in CPOE Systems - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs025443-abraham-final-report-2020.pdf
     January 01, 2020 - In this final report, we summarize the background, methodology, results, and lessons learned … program) Wrong Encounter CPOE-CDS level • Label encounters to be more noticeable on display Lessons Learned … Factors Organizational Risk Factors Clinician-Reported Strategies for Mitigating Errors Lessons Learned