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Total Results: 796 records

Showing results for "size".

221. Zheng K et al. 2009 "An interface-driven analysis of user interactions with an electronic health records system." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/zheng-k-et-al-2009
     January 01, 2009 - Type Clinic Primary care Type Specific Internal medicine Size Large Geography

222. Dorr D et al. 2007 "Informatics systems to promote improved care for chronic illness: a literature review." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/dorr-d-et-al-2007
     January 01, 2007 - Size not applicable Type of Health IT Decision support system Type of Health IT Functions

223. Currell R et al. 2000 "Telemedicine versus face to face patient care: effects on professional practice and health care outcomes." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/currell-r-et-al-2000
     January 01, 2000 - Size not applicable Type of Health IT Telemedicine Type of Health IT Functions

224. Nemeth LS et al. 2007 "Strategies to accelerate translation of research into primary care within practices using electronic medical records." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/nemeth-ls-et-al-2007
     January 01, 2007 - Tools Used Survey Type Clinic Primary care Size Small, medium and large Other

225. Chaudhry B et al. 2006 "Systematic review: impact of health information technology on quality, efficiency, and costs of medical care." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/chaudhry-b-et-al-2006
     January 01, 2006 - Size not applicable Type of Health IT Decision support system Computerized provider order

226. Health Information Technology Evaluation Toolkit: 2009 Update (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/health-information-technology-evaluation-toolkit-2009-update.pdf
     January 01, 2009 - Appendix A offers a hypothetical example of determining sample size. … Power/Sample Size Calculations 5. Second Measure to be Evaluated – Qualitative A. … To determine the exact number required, you need to do a “sample size calculation.” … readily available to help you carry out a sample size calculation. … the desired question because the required sample size is too large.

227. Addressing the Personal Health Information Management Needs of Older Adults | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/addressing-personal-health-information-management-needs-older-adults
     January 01, 2023 - Population: Adults , Elderly Personal health information management practices of older adults: one size … Personal health information management practices of older adults: one size does not fit all.

228. Document Workflow Assessment Guide - Hospital (pdf file)
     digital.ahrq.gov/sites/default/files/docs/survey/document-workflow-assessment-guide-hospital.pdf
     January 26, 2009 - - Hospital Hospital name: Individuals interviewed: Assessors: Assessment date: Hospital size

229. App Assists Patients Decide if In-Home Hospital-Level Care is Right for Them | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/app-assists-patients-decide-if-home-hospital-level-care-right
     January 01, 2023 - Everything from the flow of information to button size was reshaped based on user input.

230. Howard J, Clark EC, Friedman A, et al. "Electronic health record impact on work burden in small, unaffiliated, community-based primary care practices." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/howard-j-clark-ec
     January 01, 2023 - Tools Used Interview Observation Type Clinic Primary care Size Small and/or medium

231. Identification of Patients with Low Life Expectancy | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/identification-patients-low-life-expectancy
     January 01, 2023 - However, CDS typically employs a one-size-fits-all methodology that may consider only a patient's age

232. Mayo-Smith MF et al. 2007 "Factors associated with improved completion of computerized clinical reminders across a large healthcare system." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/mayo-smith-mf-et-al
     January 01, 2023 - Tools Used Survey Type Clinic Primary care Size Large Geography Urban,

233. Implementation and Evaluation of Standing Orders Using Health Information Technology | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/implementation-and-evaluation-standing-orders-using-health-information
     January 01, 2023 - eight practices had difficulty incorporating the standard order protocol because of larger practice size

234. Kim Y, Chen AH, Keith E, et al. "Not perfect, but better: primary care providers' experiences with electronic referrals in a safety net health system." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/kim-y-chen-ah-keith-e
     January 01, 2023 - Tools Used Survey Type Clinic Primary care Type Specific Internal medicine Size

235. Guiding the Safe and Effective Integration of Ambient Digital Scribes into Primary Care | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/guiding-safe-and-effective-integration-ambient-digital-scribes-primary-care
     September 30, 2024 - Guiding the Safe and Effective Integration of Ambient Digital Scribes into Primary Care Project Description Developing a guide to assist healthcare organizations safely and effectively adopt ambient digital scribes (ADSs), powered by artificial intelligence (AI), may help impro…

236. USA, CO, Denver | Digital Healthcare Research
     digital.ahrq.gov/location/usa-co-denver
     January 01, 2023 - USA, CO, Denver Engaging Disadvantaged Patients in Sharing Patient-Generated Health Data and Patient-Reported Outcomes Through Health Information Technology Description In this study, researchers assessed the feasibility of using commercial off-the-shelf mobile technology, in…

237. Telehealth | Digital Healthcare Research
     digital.ahrq.gov/telehealth-0
     January 01, 2023 - This information is for reference purposes only. It was current when produced and may now be outdated. Archive material is no longer maintained, and some links may not work. Persons with disabilities having difficulty accessing this information should contact us at: https://digital.ahrq.gov/contact-us . Let us know th…

238. Defining Barriers and Potential Solutions for Collecting and Reporting Quality Performance Measures in Primary Care Offices | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/defining-barriers-and-potential-solutions-collecting-and-reporting-quality
     January 01, 2023 - Defining Barriers and Potential Solutions for Collecting and Reporting Quality Performance Measures in Primary Care Offices Project Final Report ( PDF , 1.74 MB) × Disclaimer Disclaimer details Close Project Description Annual Summaries P…

239. Developing a Guide to Identifying and Remediating Unintended Consequences of Implementing Health IT - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-guide-identifying-and-remediating-unintended-consequences/annual-summary/2011
     January 01, 2011 - The laboratory and pilot tests sites differed in settings (rural/ urban), size (academic centers and

240. The Impact of Health Information Technology on Demand for Inpatient Services - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/impact-health-information-technology-demand-inpatient-services/annual-summary/2011
     January 01, 2011 - The impact of each of the variables was determined by the size and significance of the model parameter