SMART/FHIR

A pragmatic, stepped-wedge, hybrid type II trial of interoperable clinical decision support to improve venous thromboembolism prophylaxis for patients with traumatic brain injury.

Citation
Tignanelli CJ, Shah S, Vock D, Siegel L, Serrano C, Haut E, Switzer S, Martin CL, Rizvi R, Peta V, Jenkins PC, Lemke N, Thyvalikakath T, Osheroff JA, Torres D, Vawdrey D, Callcut RA, Butler M, Melton GB. A pragmatic, stepped-wedge, hybrid type II trial of interoperable clinical decision support to improve venous thromboembolism prophylaxis for patients with traumatic brain injury. Implement Sci. 2024 Aug 5;19(1):57. doi: 10.1186/s13012-024-01386-4. PMID: 39103955; PMCID: PMC11299263.
Principal Investigator
Tignanelli, Christopher J.
Melton-Meaux, Genevieve
Project Name
Evaluation of the SCALED (SCaling AcceptabLE cDs) Approach for the Implementation of Interoperable Clinical Decision Support for Venous Thromboembolism Prevention

Addressing chronic pain through patient- and clinician-facing clinical decision support: Technical implementation guide

Citation
Addressing chronic pain through patient- and clinician-facing clinical decision support: Technical implementation guide. Prepared under Contract No. 75P00119F37007. AHRQ Publication No. 24(23)-0043. Rockville, MD: Agency for Healthcare Research and Quality; March 2024.
Principal Investigator
Miller, Kristen
Hettinger, Aaron Zachary
Project Name
Clinical Decision Support for Chronic Pain Management

Patient-Centered Outcomes Research Clinical Decision Support (CDS) Connect

Description

This research developed and maintained the CDS Connect platform, including its public repository of CDS resources and tools. Current work explores the potential of public-private collaboration for long-term sustainability.

Contract Number
75FCMC18D0047_ 75Q80123F80001, 75FCMC18D0047_ 75Q80123F80004, 290-16-00001U
Principal Investigator(s)
Lenox, Michelle
Previous Principal Investigator(s)
Fabian, Lacy
Sebastian, Sharon
Quilty, Mary
McCready, Robert

The SIMPLE architectural pattern for integrating patient-facing apps into clinical workflows: Desiderata and application for lung cancer screening.

Citation
Balbin CA, Kawamoto K. The SIMPLE architectural pattern for integrating patient-facing apps into clinical workflows: Desiderata and application for lung cancer screening. AMIA Annu Symp Proc. 2024 Jan 11;2023:844-853. PMID: 38222334; PMCID: PMC10785839.
Principal Investigator
Kawamoto, Kensaku
Project Name
Engaging Patients to Enable Interoperable Lung Cancer Decision Support at Scale

Building and Implementing a Predictive Decision Support System Based on a Proactive Full Capacity Protocol to Mitigate Emergency Department Overcrowding Problems

Description

This research will use deep learning models to move a reactive full capacity protocol (FCP) for emergency department (ED) overcrowding interventions into a proactive FCP by predicting patient flow measures so that interventions may be activated to avoid ED overcrowding.

Grant Number
R21 HS029410
Principal Investigator(s)
Ahmed, Abdulaziz
Ozaydin, Bunyamin