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Showing results for "large".

  1. digital.ahrq.gov/sites/default/files/docs/citation/r01hs022728-zhou-final-report-2018.pdf
    January 01, 2018 - Settings and Participants The project was conducted at a large integrated health care system, Partners … , enriched by reactions from 2 large external resources. … Food entries in a large allergy data repository. J Am Med Inform Assoc. 2016 Apr;23(e1):e79-87. … Drug allergies documented in electronic health records of a large healthcare system. … Epidemiology of ACE Inhibitor Angioedema Utilizing a Large Electronic Health Record.
  2. digital.ahrq.gov/ahrq-funded-projects/impact-office-based-e-prescribing-prescribing-processes-and-outcomes/annual-summary/2010
    January 01, 2010 - ZixCorp’s PocketScript system is currently used in a large number of practices in Massachusetts, New … Jersey, Pennsylvania, New York, North Carolina, California, and Louisiana, providing a large study population … The third phase of the project will draw on decades of experience by the project team studying large … and nurses and office managers, which explored a variety of topics that were used in developing the large … The large sample survey was closed to enrollment in fall of 2009.
  3. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024988-leroy-final-report-2020.pdf
    January 01, 2020 - Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using … STRUCTURED ABSTRACT Purpose: With increasing use of electronic medical records, a large investment … EHR bring the opportunity of identifying causes of ASD through large-scale data use. … NN provide excellent performance but need large datasets and training is time consuming. … Empirical Methods in Natural Language Processing and Very Large Corpora; 1999. 14.
  4. digital.ahrq.gov/technology/laboratory-information-system
    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
  5. digital.ahrq.gov/ahrq-funded-projects/phenotype-modeling-and-outcome-mapping-pain-management-decision-support
    January 01, 2023 - The condition creates a large financial drain on social services, insurance providers, and family resources … This study was conducted at Michigan Pain Consultants, a large community specialist practice. … Processing System Population: Clinical Staff/Clinician , Physician Patient-reported outcomes in a large … Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype
  6. digital.ahrq.gov/ahrq-funded-projects/ar-cpr-refinement-and-large-scale-simulation-based-testing-novel-augmented
    April 01, 2023 - AR-CPR: Refinement and Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care … Test AR-CPR in a large-scale high fidelity simulated setting.
  7. digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/aas-ih-2002
    January 01, 2002 - The results indicated that telemedicine does not produce large changes in the distribution of tasks. … of Health IT Telemedicine Workflow-Related Findings "Telemedicine does not produce large … the performance of tasks for primary care and the dermatology departments, but these changes are not large
  8. digital.ahrq.gov/principal-investigator/juckett-david
    January 01, 2023 - Mapping for Pain Management Decision Support Patient-reported outcomes in a large … Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype
  9. digital.ahrq.gov/ahrq-funded-projects/impact-office-based-e-prescribing-prescribing-processes-and-outcomes/annual-summary/2011
    January 01, 2011 - The vendor ZixCorp's PocketScript system is currently used in a large number of practices in Massachusetts … , New Jersey, Pennsylvania, New York, North Carolina, California, and Louisiana, providing a large study … The study included a large-scale survey to develop a detailed understanding of how e-prescribing can … The third phase of the project drew on decades of project team experience in studying large medical databases … Achieved) 2011 Activities: The project collaborated with ZixCorps, an e-prescribing vendor, and two large
  10. digital.ahrq.gov/research-method/analysis
    January 01, 2025 - Analysis Evaluating accuracy and reproducibility of large language model … Evaluating accuracy and reproducibility of large language model performance on critical care assessments
  11. digital.ahrq.gov/principal-investigator/kim-min-soon
    January 01, 2025 - SEE-Diabetes Modules Predicting suicide attempts among people with diabetes using a large … Predicting suicide attempts among people with diabetes using a large multicenter electronic health records
  12. digital.ahrq.gov/ahrq-funded-projects/labgenie-patient-engagement-tool-aid-older-adults-understanding-lab-test
    January 01, 2025 - Elderly , Individuals with Chronic Care Needs Preliminary analysis of the impact of lab results on large … Preliminary analysis of the impact of lab results on large language model generated differential diagnoses … Survey Technology: Patient Portal Population: Adults , Patient Quality of answers of generative large … Quality of answers of generative large language models versus peer users for interpreting laboratory
  13. digital.ahrq.gov/principal-investigator/salwei-megan-elizabeth
    January 01, 2024 - Making in Breast Cancer 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
  14. digital.ahrq.gov/technology/virtual-reality
    January 01, 2024 - Fraenkel, Liana AR-CPR: Refinement and Large-Scale Simulation-Based Testing of … Hierarchical Plane Extraction (HPE): an efficient method for extraction of planes from large … Hierarchical Plane Extraction (HPE): an efficient method for extraction of planes from large pointcloud
  15. digital.ahrq.gov/principal-investigator/wheeler-donald
    January 01, 2023 - and cost-effectiveness of a telemedicine intensive care unit program in 6 intensive care units in a large … and cost-effectiveness of a telemedicine intensive care unit program in 6 intensive care units in a large
  16. digital.ahrq.gov/ahrq-funded-projects/impact-health-information-technology-demand-inpatient-services/annual-summary/2011
    January 01, 2011 - An aggregate level model was employed in situations where the data set was too large to estimate at an … Impact and Findings: The impact of health IT was small, if any, because it was not found to affect large … numbers of patients' choices or have a large impact on overall hospital demand.
  17. digital.ahrq.gov/type-care/acute-care
    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 and machine learning … Using Large Language Models to Identify Social Determinants of Health to Enhance Healthcare Services
  18. digital.ahrq.gov/care-setting/hospital
    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 … Number R03 HS030307 Principal Investigator(s) Biro, Joshua Using Large
  19. digital.ahrq.gov/health-care-theme/clinical-decision-making
    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 … Using Large Language Models to Identify Social Determinants of Health to Enhance Healthcare Services
  20. digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/miller-rh-et-al-2004
    January 01, 2004 - Interview Type Clinic Primary care and specialty care Size Small, medium and large … Other Information "Organizations included nine large medical groups of more than seventy physicians … Most of the small groups were primary care only, while eight of the large groups were multispecialty. … In large practices, basic ordering often also included electronic ordering of referrals and laboratory

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