Results

Total Results: 1,299 records

Showing results for "large".

281. University of Colorado, Denver | Digital Healthcare Research
     digital.ahrq.gov/organization/university-colorado-denver
     January 01, 2023 - University of Colorado, Denver Using Large Language Models to Identify

282. Utilizing Health Information Technology to Scale and Spread Successful Practice Models Using Patient-reported Outcomes (R18) | Digital Healthcare Research
     digital.ahrq.gov/funding-mechanism/utilizing-health-information-technology-scale-and-spread-successful-practice
     January 01, 2023 - National Surgical Quality Improvement Program Description This project demonstrated that the large-scale

283. Du Moulin MFMT et al. 2003 "The reliability of diagnosis using store-and-forward teledermatology." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/du-moulin-mfmt-et-al
     January 01, 2023 - Findings "In 82% of cases GPs stated that the teleconsultation had met their expectations to a large

284. McDonald CJ et al. 1980 "Physician response to computer reminders." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/mcdonald-cj-et-al-1980
     January 01, 2023 - Tools Used Observation Type Clinic Primary care Size Large Geography Urban

285. Decision Action Diagram | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/decision-action-diagram
     January 01, 2023 - Disadvantages Can be time consuming and challenging to construct, particularly for large, complex

286. Fault Tree Analysis | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/fault-tree-analysis
     January 01, 2023 - Disadvantages Diagrams can become large and complex.

287. A National Web Conference on the Use of Natural Language Processing (NLP) to Improve Quality Improvement (pdf file)
     digital.ahrq.gov/sites/default/files/docs/nlp-slides-041112.pdf
     April 11, 2012 - These problems…occur in small and large communities alike, in all parts of the country, and with approximately … Very large numbers of Americans are harmed as a result….” … counseling Project  Source: EMR – Comprehensive – Generalizable – Efficient  Challenges: – Large

288. Artificial Intelligence-Supported Patient-Centered Clinical Decision Support: A Summary of Considerations (pdf file)
     digital.ahrq.gov/sites/default/files/IAS%20Topic%20Highlight%20AI%20and%20PC%20CDS_508%20Compliant.pdf
     June 01, 2025 - set of rules to solve problems,7 or machine learning, which “learns” by identifying patterns from large … An example of generative AI is a large language model (LLM), which can create human-like text based … on patterns it has analyzed from very large amounts of data.8,9 OpenAI’s Chat Generative Pre-trained … AI-supported tools can analyze large amounts of patient data patterns to make recommendations about

289. CDSiC Innovation Center: Quarterly Report (pdf file)
     digital.ahrq.gov/sites/default/files/Innovation%20Center%20Q3%202024%20Progress%20Report.pdf
     October 09, 2024 - In recent years, large language models (LLMs) like OpenAI’s ChatGPT3 have been increasingly utilized … The panel, “Leveraging Large Language Models and Other Artificial Intelligence Methods to Advance Patient-Centered … 2024.8 • Core 2 began preparing for the AMIA 2024 Annual Symposium panel presentation, “Leveraging Large … Leveraging large language models for generating responses to patient messages.

290. A Community-Shared Clinical Abstract to Improve Care | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/community-shared-clinical-abstract-improve-care
     January 01, 2023 - Record/Electronic Medical Record , Health Information Exchange Population: Patient Creating a large … Creating a large database test bed with typographical errors for record linkage evaluation.

291. Improving Safety and Quality of Emergency Care Using Machine Learning-Based Clinical Decision Support at Triage | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-safety-and-quality-emergency-care-using-machine-learning-based
     September 30, 2023 - work, the researchers previously completed significant preliminary analyses, including preparing a large … The current triage prediction model will be refined using machine learning algorithms trained on the large

292. The Impact of Health Information Technology on Demand for Inpatient Services - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r36hs018272-barrette-final-report-2011.pdf
     January 01, 2011 - There was also large variation in adoption rates related to size, not-for-profit status, and patient … There is a large literature spanning health services, marketing, economics, and medical journals related … This market definition results in a large number of markets with numerous observations within each … The dataset is extremely large and choice sets vary by zip code resulting in a large number of parameter … A large body of hospital choice literature and general discrete choice methods literature was used to

293. A Decision Support Tool for the Discontinuation of Disease Modifying Therapies in Multiple Sclerosis | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/decision-support-tool-discontinuation-disease-modifying-therapies-multiple
     July 31, 2025 - The validated tool will then be implemented in a large electronic health record system and evaluated

294. Dackiewicz D et al. 2000 "Impact of digital radiography on clinical workflow and patient satisfaction." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/dackiewicz-d-et-al-2000
     January 01, 2000 - Tools Used Observation Size Large Geography Urban Other Information The

295. Haukipuro K et al. 2000 "The feasibility of telemedicine for orthopaedic outpatient clinics: a randomized controlled trial." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/haukipuro-k-et-al-2000
     January 01, 2000 - Type Clinic Specialty care Type Specific Orthopedic surgery Size Small, medium and large

296. Murphy JA et al. 1997 "Nursing process redesign with the implementation of a computer based patient record in the ambulatory setting." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/experience/murphy-ja-et-al-1997
     January 01, 1997 - Tools Used Interview Flowchart Type Clinic Primary care Size Large Geography

297. Electronic Support for Public Health–Vaccine Adverse Event Reporting System (ESP:VAERS) (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r18hs017045-lazarus-final-report-2011.pdf
     January 01, 2011 - Methods: Electronic medical records available from all ambulatory care encounters in a large multi-specialty … Information Technology-certified EpicCare system at all ambulatory care encounters within Atrius Health, a large … Safety Datalink project—a collaborative effort between CDC’s Immunization Safety Office and eight large

298. Develop and Validate Health IT Safety Measures to Capture Violations of the 5 Rights of Medication Safety – Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs024538-adelman-final-report-2022.pdf
     January 01, 2022 - While these numbers are large in the aggregate, any one hospital reported only a few Health IT errors … transition to EHRs has created an opportunity to develop Health IT Safety measures by leveraging the large … of our preliminary work, we conducted an analysis of electronic orders and audit log data at a large … Medication Orders Retracted and Reordered in a Large Health System in 1 Year (N=21,401,986 orders) … Medical Center, and NewYork-Presbyterian Queens Hospital, affiliated with NewYork-Presbyterian, a large

299. Smith MY et al. 2007 "Computerized decision-support systems for chronic pain management in primary care." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/smith-my-et-al-2007
     January 01, 2007 - Smith MY et al. 2007 "Computerized decision-support systems for chronic pain management in primary care." Reference Smith MY, Depue JD, Rini C. Computerized decision-support systems for chronic pain management in primary care. Pain Med 2007;8:S155-S166. Abstract "Objective: Computerized decis…

300. Birmingham E, Catallozzi M, Findley SE, et al. "FluAlert: a qualitative evaluation of providers' desired characteristics and concerns regarding computerized influenza vaccination alerts." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/birmingham-e-catallozzi
     January 01, 2023 - Used Focus Group Type Clinic Primary care Type Specific Pediatrics Size Large