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digital.ahrq.gov/care-setting/ambulatory-clinic
January 01, 2023 - Ambulatory Setting
Assessing the Effects of EHR Optimization Interventions
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digital.ahrq.gov/care-setting/pharmacy
January 01, 2023 - CancelRx: A Health IT Tool to Decrease Medication Discrepancies in the Outpatient Setting
Description
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digital.ahrq.gov/care-setting/perioperativeoperative
January 01, 2023 - physicians, nurse practitioners, and physician assistants in a perioperative/operative and hospital setting
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digital.ahrq.gov/care-setting/hospital
January 01, 2023 - Hospital
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 Mobile, a mobil…
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digital.ahrq.gov/care-setting/radiology
January 01, 2023 - Radiology
Value of Imaging-Related Information Technology
Description
Assessed the impact of Medical Imaging Informatics on health care costs and quality and developed a business case related to the acquisition and implementation of automated radiology systems; developed a fin…
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digital.ahrq.gov/care-setting/ambulance
January 01, 2023 - Ambulance
Digital EMS Point-of-Care Innovation to Improve Rural STEMI Outcomes
Description
This research will develop, implement, refine, and evaluate an app to support clinical decisions for ST-Elevation Myocardial Infarction care in rural areas by emergency medical services …
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digital.ahrq.gov/care-setting/laboratory
January 01, 2023 - Laboratory
Evidence-based Contingency Planning for Electronic Health Record Downtime
Description
This project assessed the clinical and operational implications of electronic health record downtimes and developed a simulation model to support the creation of effective downtime…
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digital.ahrq.gov/ahrq-funded-projects/clinical-decision-support-collaborative-diet-goal-setting-primary-care
June 30, 2023 - Clinical Decision Support for Collaborative Diet Goal Setting in Primary Care
Project … 07/01/2020 - 06/30/2023
Technology
Clinical Decision Support System
Care Setting … Test the CDSS with practicing PCPs in a controlled “lab” setting and refine it based on results. … This research suggests that a user-centered CDS for collaborative diet goal setting is feasible for use … Clinical Decision Support for Collaborative Diet Goal Setting in Primary Care – Final Report.
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digital.ahrq.gov/care-setting/community-health-center
January 01, 2023 - s)
Hewner, Sharon
Clinical Decision Support for Collaborative Diet Goal Setting … developed and evaluated a user-centered clinical decision support tool for collaborative diet goal setting … in the primary care setting, finding it feasible to implement and that it improved diet counseling competency
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digital.ahrq.gov/care-setting/emergency-department
January 01, 2023 - SMART on FHIR version of an existing pneumonia clinical decision support tool and evaluate it in a new setting … Principal Investigator(s)
Sax, Dana
Precision Emergency Medicine: Setting
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digital.ahrq.gov/care-setting/hospital-inpatient
January 01, 2023 - Description
This is a questionnaire designed to be completed by physicians in an inpatient setting
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digital.ahrq.gov/care-setting/health-department
January 01, 2023 - Health Department
Advancing Population and Public Health Reporting and Outcomes With Vaccination Data Exchange (APPROVE)
Description
This study aimed to improve data exchange between public health and clinical care information systems, and across public health itself, to enhan…
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digital.ahrq.gov/care-setting/free-clinic
January 01, 2023 - Free Clinic
School-Based Tele-Physiatry Assistance for Rehabilitative and Therapeutic Services for Children with Special Health Care Needs Living in Rural and Underserved Communities
Description
This study examined parent and provider experiences and care costs for in-person, …
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digital.ahrq.gov/care-setting/childrens-hospital
January 01, 2023 - Children's Hospital
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 vesicoureteral…
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digital.ahrq.gov/care-setting/hospital-outpatient
January 01, 2023 - Outpatient
Development and Implementation of the REmote Telehealth User-Reported caNcer Surveillance (RETURNS) Program for Lung Cancer
Description
This research will improve upon and evaluate a telehealth lung cancer surveillance program that combines patient-reported outcomes…
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digital.ahrq.gov/care-setting/patient-home
January 01, 2023 - Patient Home
A Roadmap for Research: The International Summit on Innovation and Technology in Care of Older People (IS-ITCOP)
Description
This conference convenes interdisciplinary experts from the United States and abroad to define priorities and goals for researching technol…
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digital.ahrq.gov/care-setting/dialysis-center
January 01, 2023 - Dialysis Center
Implementation of an Electronic Care Plan for People with Multiple Chronic Conditions
Description
This research supported the testing of two interoperable Substitutable Medical Applications Reusable Technologies (SMART®) on Fast Healthcare Interoperability Res…
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digital.ahrq.gov/care-setting/rehabilitation-center
January 01, 2023 - Rehabilitation Center
Accessibility and Beyond: Designing Consumer Health IT for Disabled Individuals
Description
This project engaged individuals with physical, sensory, and cognitive disabilities to expand upon existing consumer mobile health application design guidance for …
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digital.ahrq.gov/care-setting/military-hospital
January 01, 2023 - Military Hospital
A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide
Description
This research will develop and validate a clinician-facing longitudinal risk-prediction tool using self-reported data from US military servi…
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digital.ahrq.gov/care-setting/dental-practice
January 01, 2023 - Dental Practice
Decision Support to Improve Dental Care for Medically Compromised Patients
Description
This project tested three types of clinical decision support alerts and found that pop-up alerts were the most effective, but were the least preferred by dental providers.
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