Results

Total Results: 1,299 records

Showing results for "large".

121. Perception and Use of a Patient Care Window to Improve Care and Family Engagement | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/perception-and-use-patient-care-window-improve-care-and-family-engagement
     January 01, 2023 - This project implemented and evaluated large customizable interactive monitors (LCIMs) in the PICU at … Large customizable interactive monitor (LCIM). Citation: Asan O, Holden RJ, Flynn KE, et al. … Large customizable interactive monitor (LCIM). Appl Clin Inform 2016 Jul 20;7(3):682-92.

122. Ash JS et al. 2007 "Categorizing the unintended sociotechnical consequences of computerized provider order entry." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/ash-js-et-al-2007
     January 01, 2007 - Tools Used Observation Interview Type Clinic Primary care Size Large Other … Information The study took place in four large outpatient clinics.

123. Public Health Reporting System | Digital Healthcare Research
     digital.ahrq.gov/technology/public-health-reporting-system
     January 01, 2024 - timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large … timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large

124. Gilmet GP et al. 1998 "The use of an integrated clinical laboratory and pharmacy diabetes database to provide physician performance feedback in an IPA-model HMO." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/gilmet-gp-et-al-1998
     January 01, 1998 - characteristics and its potential utility as a physician educational and behavioral change agent" in this large

125. Appendix-B-Cdspain-Practice-Readiness-Assessment (doc file)
     digital.ahrq.gov/sites/default/files/docs/citation/appendix-b-cdspain-practice-readiness-assessment.docx
     August 12, 2024 - . |_| Practice is not engaged in other large-scale improvement projects and does not have other demanding … distracted or overwhelmed by competing demands or financial concerns. |_| Practice is not engaged in other large-scale

126. Industrial and Systems Engineering and Health Care: Critical Areas of Research Workshop - Workshop Introduction (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/Workshop%20Introduction.pdf
     June 16, 2021 - an optimal health care system 5-7 years in the future Work Plan: balancing small group with large … group work Large Group Work 1. … Purpose Work Plan: balancing small group with large group work Breakout Group Structure Creating a

127. Health Information Technology Support for Safe Nursing Care - 2008 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-support-safe-nursing-care/annual-summary/2008
     January 01, 2008 - Business Goal: Knowledge Creation Summary: In today’s health systems, a patient’s care can involve a large … reduces cognitive load by providing an external memory aid that facilitates quick understanding of large … , and acute care elderly; organization types; geographic locations; unit physical setups, including large

128. Zeng, Qing | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/zeng-qing
     January 01, 2023 - machine learning methods to assess and improve representational semantic integrity of terminologies in large

129. George Washington University | Digital Healthcare Research
     digital.ahrq.gov/organization/george-washington-university
     January 01, 2023 - machine learning methods to assess and improve representational semantic integrity of terminologies in large

130. Nelson, Stuart James | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/nelson-stuart-james
     January 01, 2023 - machine learning methods to assess and improve representational semantic integrity of terminologies in large

131. Sikora, Andrea | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/sikora-andrea
     January 01, 2025 - Sikora, Andrea Evaluating accuracy and reproducibility of large language … Evaluating accuracy and reproducibility of large language model performance on critical care assessments

132. Patient | Digital Healthcare Research
     digital.ahrq.gov/population/patient
     January 01, 2025 - Social Needs in Emergency Department Settings Quality of answers of generative large … Quality of answers of generative large language models versus peer users for interpreting laboratory

133. Physician | Digital Healthcare Research
     digital.ahrq.gov/population/physician
     January 01, 2025 - Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large … Language Models and Machine Learning Description This research uses large language models

134. University of Southern California | Digital Healthcare Research
     digital.ahrq.gov/organization/university-southern-california
     January 01, 2023 - Description This research, using data from the country’s largest telehealth provider and claims from a large

135. Standards | Digital Healthcare Research
     digital.ahrq.gov/standards-0
     January 01, 2023 - LOINC codes are being used by large reference laboratories and federal agencies, and are part of the … Summary: In 1986, the National Library of Medicine (NLM) assembled a large multidisciplinary, multisite … Unified Medical Language System (UMLS) with a Metathesaurus that integrates concepts and terms from a large

136. USA, MA, Boston | Digital Healthcare Research
     digital.ahrq.gov/location/usa-ma-boston
     January 01, 2023 - Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large … Language Models and Machine Learning Description This research uses large language models

137. Dixon, Brian | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/dixon-brian
     January 01, 2023 - timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large … timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large

138. Association between the sequence of β-Lactam and vancomycin administration and mortality in patients with suspected sepsis. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/identifying-sepsis-phenotypes-associated-antibiotic-resistant-pathogens-using/citation/association
     January 01, 2025 - Project Name Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large

139. Respiratory (Lung) Disease | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/respiratory-disease
     January 01, 2024 - follow-up care associated with patient-scheduled primary care telemedicine and in-person visits in a large … follow-up care associated with patient-scheduled primary care telemedicine and in-person visits in a large

140. Think Aloud Protocol/Cognitive Task Analysis | Digital Healthcare Research
     digital.ahrq.gov/research-method/think-aloud-protocol-cognitive-task-analysis
     January 01, 2024 - Outcomes Across Settings Adapting cognitive task analysis methods for use in a large … Adapting cognitive task analysis methods for use in a large sample simulation study of high-risk healthcare