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digital.ahrq.gov/population/dentist
January 01, 2023 - Dentist
Evaluating the impact of an mHealth platform for managing acute postoperative dental pain: Randomized controlled trial.
Citation
Tokede B, Yansane A, Ibarra-Noriega A, Mullins J, Simmons K, Skourtes N, Mehta U, Tungare S, Holmes D, White J, Walji M, Kalenderian E. Eval…
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digital.ahrq.gov/organizations/lewin-group-inc
January 01, 2023 - The Lewin Group, Inc.
Improving Sickle Cell Transitions, Focus Group Moderator Guide: IT Developers
Description
This is a focus group guide designed to be conducted with developers across a health care system. The tool includes questions to assess assess user's needs of electr…
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digital.ahrq.gov/location/usa-ky-lexington
January 01, 2023 - USA, KY, Lexington
Disseminating and Implementing MedSMA℞T Families in Emergency Departments: A Randomized Control Trial to Assess Effectiveness of an Evidence-Based Gaming Intervention to Reduce Opioid Misuse
Description
This research tests the effectiveness of MedSMA℞T Mobil…
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digital.ahrq.gov/organization/university-virginia
January 01, 2023 - University of Virginia
Improving Pediatric Donor Heart Utilization with Predictive Analytics
Description
This study aims to optimize the use of donor hearts for infants and children awaiting heart transplantation by developing predictive models to assess in real-time the poten…
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digital.ahrq.gov/funding-mechanism/developing-new-clinical-decision-support-disseminate-and-implement-evidence-based
January 01, 2023 - Developing New Clinical Decision Support to Disseminate and Implement Evidence-Based Research Findings (R18)
Scalable Decision Support and Shared Decision Making for Lung Cancer Screening
Description
Researchers successfully developed Decision Precision+, a shared decision mak…
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digital.ahrq.gov/organization/wayne-state-university
January 01, 2023 - Wayne State University
Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning
Description
This research took an existing sepsis-related clinical decision support (CDS) and developed, tested, implemented, and validated a knowledge-based artifi…
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digital.ahrq.gov/location/usa-va-charlottesville
January 01, 2023 - USA, VA, Charlottesville
Improving Pediatric Donor Heart Utilization with Predictive Analytics
Description
This study aims to optimize the use of donor hearts for infants and children awaiting heart transplantation by developing predictive models to assess in real-time the pot…
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digital.ahrq.gov/organization/university-maryland
January 01, 2023 - University of Maryland
Annual Conference on Health Information Technology & Analytics (CHITA)
Description
The 2018-2020 annual Conference on Health IT & Analytics connected a wide range of academic disciplines, Federal agencies, policymakers, funders, practitioners, patient ad…
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs028119-hartung-final-report-2024.pdf
January 01, 2024 - Forms
Rule Name Status Description
Tagged form fields Passed All form fields are tagged
Field descriptions
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digital.ahrq.gov/population/rural-populations
January 01, 2025 - Rural Populations
Development and Assessment of Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology
Description
This research develops and evaluates an artificial intelligence-enhanced pretreatment peer-review …
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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 language model generated differential diagnoses.
Citation
Bhasuran B, Jin Q, Xie Y, Yang C, Hanna K, Costa J, Shavor C, Han W, Lu Z, He Z. Preliminary analysis of the impact of lab results on large lan…
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digital.ahrq.gov/organization/university-colorado-health-sciences-center
January 01, 2023 - University of Colorado Health Sciences Center
Report on Continuity of Care Document (CCD) Functionality of Colorado Community Health Center Electronic Medical Record Systems
Description
This is a questionnaire designed to be completed by vendors for an ambulatory setting. The …
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digital.ahrq.gov/technology/generative-artificial-intelligence
January 01, 2023 - Generative Artificial Intelligence
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 to retrospectively analyze electronic hea…
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digital.ahrq.gov/organization/university-north-carolina-chapel-hill
January 01, 2023 - University of North Carolina Chapel Hill
Development and Assessment of Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology
Description
This research develops and evaluates an artificial intelligence-enhanced pr…
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digital.ahrq.gov/sites/default/files/docs/citation/r01hs025412-bajaj-final-report-2024.pdf
January 01, 2024 - Forms
Rule Name Status Description
Tagged form fields Passed All form fields are tagged
Field descriptions
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digital.ahrq.gov/sites/default/files/docs/resource/davidson.pdf
June 16, 2021 - Information Requirements
PLURALSOFT
2009
Authored by: PluralSoft Inc.
Technical Specifications
CACHIE Quality Information System – AHRQ Scope
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Revision History
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digital.ahrq.gov/population/payer
September 01, 2024 - Payer
Clinical Decision Support Innovation Collaborative 2023-2024 (Year 3) Period of Performance Report
Citation
Dullabh PM, Shah AS, Dhopeshwarkar RV, Desai PJ, Peterson CE, Jiménez F, Gauthreaux N, Leaphart DM, Zott C, Byrne M, Adams L. Clinical Decision Support Innovation …
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digital.ahrq.gov/sites/default/files/docs/publication/r36hs020165-hirsch-final-report-2012.pdf
January 01, 2012 - between January 1, 2007 and
December 31, 20091
5
Meet criteria for
definitions 1 OR
2
See descriptions … Data Element Description12 Definition Criteria
6
Meet criteria for
definitions 1 or 2
or 3
See descriptions … and 3 See criteria for definitions 1, 2, and
3
7
Meet criteria for
definitions 1,2 or
4
See descriptions … See criteria for definitions 1, 2, and
4
8
Meet criteria for
definitions 1, 2,
3, or 4
See descriptions
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digital.ahrq.gov/organization/baylor-college-medicine
January 01, 2023 - Baylor College of Medicine
A Multi-Site Trial to Test Benefits of Adding a Personalized Risk Calculator to an Online Decision Aid for Left Ventricular Assist Device
Description
This research will implement a personalized and electronically integrated shared clinical decision …
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digital.ahrq.gov/ahrq-funded-projects/health-information-technology-hazard-manager/citation/appendix-c
January 01, 2023 - Health IT hazard manager beta-test: appendix C - descriptive analysis
Citation
Walker JM, Hassol A, Bradshaw B, et al. Health IT hazard manager beta-test: appendix C - descriptive analysis. (Prepared by Abt Associates and Geisinger Health System, under Contract No. 290-06-00011I-14). Rockville, MD: Ag…