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digital.ahrq.gov/document-type/journal-publication
January 01, 2025 - Understanding of Lab Test Results
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 … 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 … Management of Hypertension in Youth: Comparing Approaches for Extending Effective CDS for use in a Large
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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 … Experiencing interior environments: new approaches for the immersive display of large-scale … Experiencing interior environments: new approaches for the immersive display of large-scale point cloud
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digital.ahrq.gov/research-method/case-study
January 01, 2024 - Implementation experience in a large orthopedic practice. … Implementation experience in a large orthopedic practice. … Tool to Decrease Medication Discrepancies in the Outpatient Setting
Enabling Large-Scale … Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using … Principal Investigator
Leroy, Gondy
Project Name
Enabling Large-Scale Research on Autism
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digital.ahrq.gov/technology/generative-artificial-intelligence
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
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digital.ahrq.gov/population/patient
January 01, 2025 - Understanding of Lab Test Results
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 … 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
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digital.ahrq.gov/principal-investigator/ponto-kevin
January 01, 2023 - 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 … Experiencing interior environments: new approaches for the immersive display of large-scale … Experiencing interior environments: new approaches for the immersive display of large-scale point cloud
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digital.ahrq.gov/technology/machine-learning
January 01, 2025 - Machine Learning
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 … Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large … Language Models and Machine Learning
Description
This research uses large language models
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digital.ahrq.gov/population/adults
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 … Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large … Language Models and Machine Learning
Description
This research uses large language models
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digital.ahrq.gov/technology/artificial-intelligence
January 01, 2025 - Intelligence
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 … Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large … Language Models and Machine Learning
Description
This research uses large language models
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digital.ahrq.gov/sites/default/files/docs/page/tool-3.1-flyer-english-large.pdf
June 16, 2021 - Toolset for E-Prescribing Implementation in Independent Pharmacies: Tool 3.1 - Pharmacy Flyer (English, Large … Document title: Tool 3.1--Pharmacy Flyer (English, Large Print)
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digital.ahrq.gov/principal-investigator/pak-theodore-r
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
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digital.ahrq.gov/research-method/quantitative
January 01, 2025 - Using EHR and HIE Data
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 … 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
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digital.ahrq.gov/sites/default/files/docs/page/tool-3.1-flyer-spanish-large.pdf
June 16, 2021 - Toolset for E-Prescribing Implementation in Independent Pharmacies: Tool 3.1 - Pharmacy Flyer (Spanish, Large … Document title: Tool 3.1 -- Pharmacy Flyer (Spanish, Large Print)
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digital.ahrq.gov/sites/default/files/docs/page/guide-to-evaluating-hie-projects-appendix-d.pdf
June 16, 2021 - If a sample
is too large or too small, the results may be expensive or ambiguous. … an e-prescribing system in an outpatient practice, the office manager
believed they were making a large … Number of Errors in 100 Sampled Prescriptions 27 3
Observed Error Rate 27% 3%
Given the large … If you find the required
sample size is too large, you may need to reprioritize the measures you will
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digital.ahrq.gov/ahrq-funded-projects/using-large-language-models-identify-social-determinants-health-enhance
September 01, 2024 - Using Large Language Models to Identify Social Determinants of Health to Enhance Healthcare Services … unstructured nature of narrative data in EHRs presents analytical challenges, but advances in NLP and large
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digital.ahrq.gov/ahrq-funded-projects/health-information-technology-ambulatory-care-settings-effects-quality-and-disparities
January 01, 2023 - setting, though most healthcare services are provided in the ambulatory setting, overlooking an area of large … The measures and models developed in this study may be applied by other researchers for future large-scale
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digital.ahrq.gov/program/division-research-education-office-extramural-research-education-and-priority-populations
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
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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.
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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.
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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