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digital.ahrq.gov/principal-investigator/goodney-philip
January 01, 2023 - Goodney, Philip
Relationships between 2-year survival, costs, and outcomes following carotid endarterectomy in asymptomatic patients in the Vascular Quality Initiative.
Citation
Wallaert JB, Newhall KA, Suckow BD, et al. Relationships between 2-year survival, costs, and outco…
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digital.ahrq.gov/organization/worcester-polytechnic-institute
January 01, 2023 - Worcester Polytechnic Institute
TJR Guru--a Mobile App for Shared Informed Decisionmaking in Total Joint Replacement Surgery
Description
This project developed and pilot-tested TJR App, a mobile application designed to help patients with osteoarthritis track their pain and act…
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digital.ahrq.gov/health-care-theme/care-coordination
January 01, 2023 - Care Coordination
Scalable Digital Communication Intervention to Support Older Adults and Care Partners Transitioning Home After Major Surgery
Description
This research will develop and evaluate the Perioperative Optimization of Senior Health (myPOSH) mobile application that s…
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digital.ahrq.gov/health-care-theme/transitions-care
January 01, 2023 - Transitions in Care
Scalable Digital Communication Intervention to Support Older Adults and Care Partners Transitioning Home After Major Surgery
Description
This research will develop and evaluate the Perioperative Optimization of Senior Health (myPOSH) mobile application that…
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs024581-avidan-final-report-2020.pdf
January 01, 2020 - On average, 125 surgeries take place every business day in the
hospital’s 48 ORs.
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digital.ahrq.gov/ahrq-funded-projects/implementing-breast-reconstruction-decision-support-tool-diverse-practice
January 01, 2024 - Implementing a Breast Reconstruction Decision Support Tool in Diverse Practice Settings
Project Final Report ( PDF , 830.66 KB) Disclaimer
Disclaimer
The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessa…
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digital.ahrq.gov/ahrq-funded-projects/tjr-guru-mobile-app-shared-informed-decisionmaking-total-joint-replacement/citation/osteoarthritis
January 01, 2023 - mHealth technologies for osteoarthritis self-management and treatment: A systematic review.
Citation
Choi W, Zheng H, Franklin P, et al. mHealth technologies for osteoarthritis self-management and treatment: A systematic review. Health Informatics J 2017
Oct 1:1460458217735676. doi: 10.1177/14604582…
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digital.ahrq.gov/health-care-theme/technology-usability
January 01, 2023 - Technology Usability
Assessing the Effects of EHR Optimization Interventions in Primary Care
Description
This research evaluates the adoption and impact of three electronic health record-optimization interventions—scribes, advanced team-based inbox management, and artificial i…
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digital.ahrq.gov/program-overview/research-stories/designing-digital-healthcare-technology-support-cognitive-team
January 01, 2023 - Designing Digital Healthcare Technology to Support Cognitive Team Work in Pediatric Trauma Settings
Theme:
Optimizing Care Delivery for Clinicians
Subtheme:
Optimizing Data Visualization to Improve Care
Simple and informative graphic displays in emergency department trauma bays can streaml…
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digital.ahrq.gov/population/men
January 01, 2023 - Men
Knowledge Engineering for Decision Support in Osteoporosis - Final Report
Citation
LaFleur J. Knowledge Engineering for Decision Support in Osteoporosis - Final Report. (Prepared by the University of Utah College of Pharmacy under Grant No. K08 HS018582). Rockville, MD: Ag…
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digital.ahrq.gov/az-index/S
A-Z Index
A
B
C
D
E
F
G
H
I
K
L
M
N
P
Q
R
S
T
V
W
Secure Messaging
Smoking Cessation
Social Determinants of Health
Social Media
Sociotechnical Aspects
Standards…
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digital.ahrq.gov/ahrq-funded-projects/tjr-guru-mobile-app-shared-informed-decisionmaking-total-joint-replacement/citation/mhealth
January 01, 2023 - Using mHealth app to support treatment decision-making for knee arthritis: patient perspective.
Citation
Zheng H, Tulu B, Choi W, et al. Using mHealth app to support treatment decision-making for knee arthritis: patient perspective. eGEMs 2017;5(2):7. DOI: http://doi.org/10.13063/2327-9214.1284
…
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digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/investigation
January 01, 2023 - Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.
Citation
Wissel BD, Greiner HM, Glauser TA, Mangano FT, Santel D, Pestian JP, Szczesniak RD, Dexheimer JW. Investigation of bias in an epilepsy machine learning algorithm trained on physician notes. Epilepsia.…
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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/academic-medical-center
January 01, 2023 - Academic Medical Center
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 vesicouret…
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digital.ahrq.gov/location/usa-ma-boston
January 01, 2023 - USA, MA, Boston
Assessing the Effects of EHR Optimization Interventions in Primary Care
Description
This research evaluates the adoption and impact of three electronic health record-optimization interventions—scribes, advanced team-based inbox management, and artificial intell…
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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/medical-condition/renal-kidney-disease
January 01, 2023 - Renal (Kidney) Disease
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/ahrq-funded-projects/leveraging-health-information-technology-avoid-unnecessary-asymptomatic-carotid-revascularization
January 01, 2023 - Leveraging Health Information Technology to Avoid Unnecessary Asymptomatic Carotid Revascularization
Project Final Report ( PDF , 179.69 KB) Disclaimer
Disclaimer
The findings and conclusions in this document are those of the author(s), who are responsible for its content, and …
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digital.ahrq.gov/sites/default/files/docs/resource/Laminated_Reminder_Card.pdf
June 11, 2009 - laminated reminder card
Exclusions
• Terminal Status (Hospice Patients)
• Incarceration (Prison Population)
• New wound (less than 3 weeks)
• Wound already scheduled for
surgery
• Patient doesn’t live in a study
county
Telewound Care Study contact:
Cynthia Scheideman-Miller
Phone: (405) 713…