Results

Total Results: 1,710 records

Showing results for "learn".
Users also searched for: pdsa

281. Case Study: Developing an Electronic Prescribing Incentive Program: Lessons Learned from New York Medicaid | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medicaid-and-chip/case-study-developing-electronic-prescribing-incentive
     January 01, 2023 - Case Study: Developing an Electronic Prescribing Incentive Program: Lessons Learned from New York Medicaid Case Study Developing an Electronic Prescribing Incentive Pr ogram: Lessons Learned From New York Medicaid Prepared for: Agency for Healthcare Research and Quality U.S. Department Document …

282. Case Study: Leveraging Existing Leadership to Support Health IT and HIE: Lessons Learned from Minnesota’s Medical Assistance Program | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medicaid-and-chip/case-study-leveraging-existing-leadership-support-health-it
     January 01, 2023 - Case Study: Leveraging Existing Leadership to Support Health IT and HIE: Lessons Learned from Minnesota’s Medical Assistance Program Case Study Leveraging Existing Leadership to Support Health IT and HIE: Lessons Learned From Minnesota’s Medical Assistance Program Prepared for: Agency for Healthcare Resea…

283. 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…

284. 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 …

285. 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…

286. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-health-system-integrate-care-substance-misuse-and-hiv-treatment-and-prevention/final-report
     January 01, 2023 - A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients - Final Report Citation Held M., Thompson H. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized …

287. 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…

288. AHRQ Health Information Technology Portfolio 2012 Annual Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/ahrq-health-information-technology-portfolio-2012-annual-report-executive-summary.pdf
     January 01, 2012 - To learn more about the Health IT Portfolio, please go to the AHRQ Health IT Web site, available at:

289. lessons learned, successes, and barriers for the ‘Real-Time’ and QIO ‘ON-Time’ projects (pdf file)
     digital.ahrq.gov/sites/default/files/docs/resource/Real_Time_and_On_Time_Lessons_Learned_9_6_06.pdf
     June 16, 2021 - Then, implementation of HIT required staff to learn a new ‘format’ only but content was familiar.

290. CDS Connect Maintenance and Update Final Report Year 4 2020 (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/cds-connect-year4-final-report-2020.pdf
     January 01, 2020 - Listen, Learn, Informed Choice., to discuss the importance of patient-centered CDS design and implementation … • Outreach: Engage with and learn from stakeholders about how to improve CDS Connect, including meetings … Listen, Learn, Informed Choice. as part of a CDS podcast series focused on patient-centered CDS design … Activities included providing informational meetings to those asking to learn more about the contribution … Listen, Learn, Informed Choice. episode included in the collection and worked with Mr. van Leeuwen to

291. Visual Learning: Displaying the Data for Hypertension Management | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/visual-learning-displaying-data-hypertension-management
     January 01, 2023 - Visual Learning: Displaying the Data for Hypertension Management Theme: Optimizing Care Delivery for Clinicians Subtheme: Optimizing Data Visualization to Improve Care A clinical decision support tool helps patients and physicians use at-home measured blood pressure data to better understa…

292. Applying Lessons Learned in Community Collaboration to Health IT | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/applying-lessons-learned-community-collaboration-health-it
     January 01, 2023 - Applying Lessons Learned in Community Collaboration to Health IT Project Description Annual Summaries Project Details - Completed Contract Number 290-07-10071-5 Funding Mechanism(s) Planning, Evaluation, and Analysis Task Order Co…

293. Learning from primary care meaningful use exemplars. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/learning-primary-care-meaningful-use-exemplars/citation/learning-primary-care
     January 01, 2023 - Learning from primary care meaningful use exemplars. Citation Ornstein SM, Nemeth LS, Nietert PJ, et al. Learning from primary care meaningful use exemplars. J Am Board Fam Med 2015;28(3):360-70. PMID: 25957369. Link https://www.ncbi.nlm.nih.gov/pubmed/25957369 Principal Investigator …

294. Machine learning approaches to identify nicknames from a statewide Health Information Exchange. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-patient-matching-support-operational-health-information-exchange/citation/machine
     January 01, 2023 - Machine learning approaches to identify nicknames from a statewide Health Information Exchange. Citation Kasthurirathne SN, Grannis SJ. Machine learning approaches to identify nicknames from a statewide Health Information Exchange. AMIA Jt Summits Transl Sci Proc. 2019 May 6;2019:639-647. PMID: 312590…

295. Comparison of supervised machine learning and probabilistic approaches for record linkage. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-patient-matching-support-operational-health-information-exchange/citation/comparison
     January 01, 2023 - Comparison of supervised machine learning and probabilistic approaches for record linkage. Citation McNutt, A.T., Grannis, S.J., Bo, N., Xu, H., Kasthurirathne, S. N.(2020, March). Comparison of supervised machine learning and probabilistic approaches for record linkage. AMIA Informatics summit 2020 C…

296. Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast/citation/machine
     January 01, 2023 - Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study. Citation Fritz BA, Chen Y, Murray-Torres TM, et al. Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol fo…

297. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care/citation/learning
     January 01, 2023 - Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. Citation Sikora A, Zhao B, Kong Y, Murray B, Shen Y. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. medRxiv [Preprint]. 202…

298. Using active learning to identify health Information technology related patient safety events. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-evidence-based-user-centered-design-and-implementation-guidelines/citation/using
     January 01, 2023 - Using active learning to identify health Information technology related patient safety events. Citation Fong A, Howe JL, Adams KT, et al. Using active learning to identify health Information technology related patient safety events. Appl Clin Inform 2017 Jan 18;8(1):35-46. PMID: 28097287. Link …

299. Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis/citation/classification
     January 01, 2023 - Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features. Citation Venkatesan R, Chandakkar P, Li B, et al. Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram featur…

300. Research Centers in Primary Care Practice-Based Research and Learning | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/research-centers-primary-care-practice-based-research-and-learning
     January 01, 2023 - Research Centers in Primary Care Practice-Based Research and Learning Project Final Report ( PDF , 190.53 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 th…