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Total Results: 1,432 records

Showing results for "factor".

301. Minimizing Stress, Maximizing Success of Physician's Use of Health Information | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/minimizing-stress-maximizing-success-physicians-use-health-information
     January 01, 2023 - Minimizing Stress, Maximizing Success of Physician's Use of Health Information Project Final Report ( PDF , 467.6 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 repr…

302. Creating a Foundation for the Design of Culturally-Informed Health Information Technology | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/creating-foundation-design-culturally-informed-health-information-technology
     January 01, 2023 - Creating a Foundation for the Design of Culturally-Informed Health Information Technology Project Final Report ( PDF , 574.33 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 nece…

303. Care Transitions and Teamwork in Pediatric Trauma: Implications for Health Information Technology Design | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/care-transitions-and-teamwork-pediatric-trauma-implications-health-information
     January 01, 2023 - Care Transitions and Teamwork in Pediatric Trauma: Implications for Health Information Technology Design Project Final Report ( PDF , 789.42 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, …

304. Home Health Care | Digital Healthcare Research
     digital.ahrq.gov/type-care/home-health-care
     January 01, 2023 - Home Health Care A Roadmap for Research: The International Summit on Innovation and Technology in Care of Older People (IS-ITCOP) Description This conference convenes interdisciplinary experts from the United States and abroad to define priorities and goals for researching tec…

305. Using Machine Learning for Military Service Members and Veterans at Risk for Suicide | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/using-machine-learning-military-service-members-and-veterans-risk
     January 01, 2023 - Using Machine Learning for Military Service Members and Veterans at Risk for Suicide Theme: Optimizing Care Delivery for Clinicians Subtheme: Leveraging Machine Learning to Assess Risk The use of a risk-prediction tool for both suicide ideation and suicide attempt has the potential to allo…

306. Understanding Clinical Information Needs and health Care Decision Making Processes in the Context of Health Information Technology - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs022087-singh-final-report-2018.pdf
     January 01, 2018 - Clinical staff shortage (“personnel” dimension) was also seen to be a contributing factor.

307. Individualized Drug Interaction Alerts - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs023826-malone-final-report-2017.pdf
     January 01, 2017 - Individualized Drug Interaction Alerts - Final Report Individualized Drug Interaction Alerts Investigators: Daniel C. Malone, RPh, PhD, Principal Investigator Richard D. Boyce, PhD, Co-Investigator Philip Hansten, PharmD, Consultant John R. Horn, PharmD, Consultant Andrew Romero, PharmD, Consultan…

308. Evaluation of AHRQ's On-time Pressure Ulcer Program | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/evaluation-ahrqs-time-pressure-ulcer-program
     January 01, 2023 - Evaluation of AHRQ's On-time Pressure Ulcer Program Project Description Annual Summaries Publications Project Details - Completed Contract Number 290-06-0011-8 Funding Mechanism(s) Accelerating Change and Transformation in O…

309. Health Information Technology-Supported Process for Preventing and Managing Venous Thromboembolism | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-supported-process-preventing-and-managing-venous-thromboembolism
     January 01, 2023 - Health Information Technology-Supported Process for Preventing and Managing Venous Thromboembolism Project Final Report ( PDF , 843.21 KB) Disclaimer Disclaimer   The findings and conclusions in this document are those of the author(s), who are responsible for its content, and …

310. Valdez Podcast Transcript (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/valdez-podcast-transcript.pdf
     June 16, 2021 - Valdez Podcast Transcript Podcast 4   Designing Culturally Informed Consumer Health IT (Dr. Rupa Valdez)    Narrator: Welcome to Health IT Spotlight from the Agency for Healthcare Research and Quality.  Patients are increasingly encouraged to use health IT applications to manage their own health  care. These applicat…

311. Andre B et al. 2008 "Experiences with the implementation of computerized tools in health care units: a review article." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/andre-b-et-al-2008
     January 01, 2008 - Andre B et al. 2008 "Experiences with the implementation of computerized tools in health care units: a review article." Reference Andre B, Ringdal GI, Loge JH, et al. Experiences with the implementation of computerized tools in health care units: a review article. Int J Hum Comput Interact 2008;24(8):…

312. Rural Iowa Redesign of Care Delivery with EHR Functions - Grant Final Report Grant ID: 1UC1HS015196-0. (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015196-crandall-final-report-2007.pdf
     January 01, 2007 - Samples of registered nurses at three other Trinity Health hospitals were used to cross-validate the factor … Basic item analysis, confirmatory factor analysis, cross-validation factors analyses, and reliability … Confirmatory factor analysis generally supported the a priori factor structure for both expectations … The consistency of the fit to the factor models was also high across the cross-validation samples.

313. Computerized Provider Order Entry - Ambulatory | Digital Healthcare Research
     digital.ahrq.gov/computerized-provider-order-entry-ambulatory
     January 01, 2023 - AHRQ-funded project reported that achieving clinician buy-in prior to implementation was an important factor

314. ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/ml-rover-machine-learning-reduce-laboratory-test-overutilization
     August 01, 2024 - ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization Project Description Implementing a validated machine learning based clinical decision support tool to reduce laboratory testing overutilization in pediatric intensive care unit patients will create a sustainab…

315. Computer-Based Provider Order Entry Implementation in Intensive Care Units - 2009 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/computer-based-provider-order-entry-cpoe-implementation-intensive-care-units/annual-summary/2009
     January 01, 2009 - Computer-Based Provider Order Entry Implementation in Intensive Care Units - 2009 Project Name Computer-Based Provider Order Entry (CPOE) Implementation in Intensive Care Units (ICUs) Principal Investigator Carayon, Pascale Organization University of Wisconsin - Madison …

316. Health IT Hazard Manager Beta-Test Appendix E. Inter-Rater Cognitive Testing Results (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/AppendixE_HIT_Hazard_Manager_Beta_Test.pdf
     June 16, 2021 - Health IT Hazard Manager Beta-Test Appendix E. Inter-Rater Cognitive Testing Results Appendix E – Inter-Rater Cognitive Testing Results This appendix summarizes the hazard entries created by the seven test sites to describe the six hazard scenarios. The category headings are the beta version categories. 1. D…

317. Implementation of Health IT in Long-Term Care Settings: Findings from the Health IT Portfolio (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/08-0087-EF.pdf
     October 01, 2009 - Gorman noted that patient safety is perceived as important by clinicians and is the primary factor that … Administration or Information Technology Departments Grantees noted that a champion is a critical factor … Vendor willingness to customize the EMR was an important success factor. …  ‘Rural helping rural’ was a key success factor. 30 BEST PRACTICES EMERGING FRoM THIS PRojECT …  Engaging many specialties, while a success factor, also made it difficult to manage and meet the

318. Implementation of Health IT in Long-Term Care Settings (pdf file)
     digital.ahrq.gov/sites/default/files/docs/lesson/08-0087-ef-lt-care.pdf
     October 01, 2009 - Gorman noted that patient safety is perceived as important by clinicians and is the primary factor … Administration or Information  Technology Departments Grantees noted that a champion is a critical factor … Vendor willingness to customize the EMR was an important success factor. …  ‘Rural helping rural’ was a key success factor. 29 NoT PRo R TS P INV oR QuoT R T IT PRo …  Engaging many specialties, while a success factor, also made it difficult to manage and meet the

319. A user-center designed anticoagulation shared decision-making tool for stroke prevention in atrial fibrillation - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs026322-dorsch-final-report-2021.pdf
     January 01, 2021 - Each risk factor is 1 point unless noted, then totaled to provide an annualized risk of stroke from … Each risk factor is 1 point and then totaled to provide an annualized risk of major bleeding from 1%

320. NLP to identify and rank clinically relevant information from EHRs in the Emergency Department - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024541-goss-final-report-2018.pdf
     January 01, 2018 - incoming and outgoing edges, respectively, wj,i is the weight of the connection, and d is a damping factor … The damping factor d is used to incorporate the probability of diverging from the graph connections and … During the graph iteration stage, we used a damping factor of 0.85 and stopping criteria of a total