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digital.ahrq.gov/care-setting/childrens-hospital
January 01, 2023 - Children's Hospital
Bedside Notes: A Multicenter Trial to Improve Family Clinical Note Access and Outcomes for Hospitalized Children
Description
This research will evaluate the effectiveness of Bedside Notes, a digital health solution designed to provide caregivers with real-t…
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digital.ahrq.gov/type-care/ambulatory-care
January 01, 2023 - Ambulatory Care
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 pr…
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digital.ahrq.gov/funding-mechanism/policy-relevant-evaluations-inform-development-health-it-meaningful-use-objectives
January 01, 2023 - Policy Relevant Evaluations to Inform Development of Health IT Meaningful Use Objectives (R18)
Adoption of a portal for the primary care management of pediatric asthma: a mixed-methods implementation study.
Citation
Fiks AG, DuRivage N, Mayne SL, et al. Adoption of a portal fo…
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digital.ahrq.gov/organization/rush-university-medical-center
January 01, 2023 - Rush University Medical Center
A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients
Description
This research will develop, train, test, and evaluate a machine learning classifier to identify risk …
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digital.ahrq.gov/ahrq-funded-projects/past-initiatives/state-and-regional-demonstration-projects
January 01, 2023 - State and Regional Demonstration Projects (2004-2011)
What are State and Regional Demonstration (SRD) Projects?
Six States have been awarded 5-year contracts under the State and Regional Demonstrations in Health Information Technology (AHRQ-04-0015) funding opportunity from the Agency …
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digital.ahrq.gov/sites/default/files/docs/citation/r01hs025429-aguilera-final-report-2022.pdf
January 01, 2022 - We used Thompson Sampling, a Bayesian method, which allowed us to continuously learn which
feedback
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digital.ahrq.gov/principal-investigator/sax-dana
January 01, 2023 - Sax, Dana
Improving Safety and Quality of Emergency Care Using Machine Learning-Based Clinical Decision Support at Triage
Description
This research will design, implement, and evaluate an emergency department triage machine learning algorithm, with an emphasis on predicted pat…
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digital.ahrq.gov/sites/default/files/docs/page/e-prescribing-toolset-pharmacy.pdf
January 01, 2020 - prescriptions, it will help to
understand how e-prescribing works and how it is regulated, and to learn … Check with your
vendor or your State health department to learn about special requirements for
your … What to learn how to do:
1. What to do if the e-prescribing system stops functioning
2. … To learn more about HIEs funded under the State HIE Cooperative Agreement
Program in your area, visit … To learn more about RECs in your area, visit the ONC Web site at
http://healthit.hhs.gov/rec.
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs024541-goss-final-report-2018.pdf
January 01, 2018 - Implementation of an EHR search solution will allow us to learn more about clinicians’ actual needs, … test
our methods in real-life settings, and learn how to harvest user feedback to improve the relevancy … feel that a more automated approach using
artificial intelligence (NLP and machine learning) that can learn
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digital.ahrq.gov/technology/predictive-modeling
January 01, 2024 - Predictive Modeling
Acceptance of automated social risk scoring in the emergency department: Clinician, staff, and patient perspectives.
Citation
Mazurenko O, Hirsh AT, Harle CA, McNamee C, Vest JR. Acceptance of automated social risk scoring in the emergency department: Clini…
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digital.ahrq.gov/sites/default/files/docs/medicaid/AL_case_study.pdf
March 01, 2010 - Case Study: Collaborating to Improve the Quality of Care: Lessons Learned from the Alabama Medicaid Agency
Case Study: Collaborating to Improve the
Quality of Care: Lessons Learned from the
Alabama Medicaid Agency
Prepared for:
Agency for Healthcare Research and Quality
U.S. Department of Health and Human…
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digital.ahrq.gov/sites/default/files/docs/page/AL_case_study_0.pdf
March 01, 2010 - Case Study: Collaborating to Improve the Quality of Care: Lessons Learned from the Alabama Medicaid Agency
Case Study: Collaborating to Improve the
Quality of Care: Lessons Learned from the
Alabama Medicaid Agency
Prepared for:
Agency for Healthcare Research and Quality
U.S. Department of Health and Human…
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digital.ahrq.gov/type-care/primary-care
January 01, 2023 - Primary Care
Complexity, Incidence, and Costs Related to Delayed Diagnosis of Venous Thromboembolism in Urban and Rural Primary and Urgent Care Settings
Description
This research aims to improve the early detection of venous thromboembolism in primary and urgent care by using …
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digital.ahrq.gov/care-setting/hospital
January 01, 2023 - Hospital
Bedside Notes: A Multicenter Trial to Improve Family Clinical Note Access and Outcomes for Hospitalized Children
Description
This research will evaluate the effectiveness of Bedside Notes, a digital health solution designed to provide caregivers with real-time access …
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digital.ahrq.gov/principal-investigator/avidan-michael
October 14, 2020 - Avidan, Michael
Exploring patient perspectives on telemedicine monitoring within the operating room.
Citation
Abraham J, Meng A, Holzer KJ, Brawer L, Casarella A, Avidan M, Politi MC. Exploring patient perspectives on telemedicine monitoring within the operating room. Int J Me…
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digital.ahrq.gov/care-setting/academic-medical-center
January 01, 2023 - Academic Medical Center
Bedside Notes: A Multicenter Trial to Improve Family Clinical Note Access and Outcomes for Hospitalized Children
Description
This research will evaluate the effectiveness of Bedside Notes, a digital health solution designed to provide caregivers with re…
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digital.ahrq.gov/ahrq-funded-projects/treat-ecards-translating-evidence-action-electronic-clinical-decision-support
January 01, 2023 - TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in Acute Respiratory Distress Syndrome
Project Final Report ( PDF , 1.6 MB) Disclaimer
Disclaimer
The findings and conclusions in this document are those of the author(s), who are responsible for…
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digital.ahrq.gov/principal-investigator/wang-hsin-hsiao-scott
January 01, 2023 - Wang, Hsin-Hsiao Scott
Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children
Description
The study will develop and implement a validated machine learning model to optimize voiding cystourethrogram timing and use for diagnosing vesicourete…
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digital.ahrq.gov/sites/default/files/docs/page/2006StromPepper_051211comp.pdf
June 16, 2021 - Role of IT in Improving Patient Safety
Brian L. Strom, M.D., M.P.H.
Chair and Professor, Department of Biostatistics
and Epidemiology
Director, Center for Clinical Epidemiology
and Biostatistics
George S. Pepper Professor of Public Health and
Preventive Medicine
Professor of Biostatistics and Epidemiology,
Me…
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digital.ahrq.gov/ahrq-funded-projects/synthesizing-lessons-learned-using-health-information-technology/annual-summary/2010
January 01, 2010 - Synthesizing Lessons Learned Using Health Information Technology - 2010
Project Name
Synthesizing Lessons Learned Using Health Information Technology
Principal Investigator
Nemeth, Lynne
Organization
Medical University of South Carolina
Funding Mechanism
PAR: HS08-2…