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Acute Care
Acute Care
Evaluating and Enhancing Health Information Technology for COVID-19 Response Workflow in a Specialized COVID-19 Hospital in a Medically Underserved Community
This research will study how a safety-net hospital responds to a pandemic, specifically COVID-19, to identify how information needs are met and how decisions are made and communicated to other individuals internal and external to the institution.
Transforming Kidney Care in the Emergency Department Using Artificial Intelligence-Driven Clinical Decision Support
This research will develop and evaluate an artificial intelligence-driven clinical decision support system to detect and manage acute kidney injury in the emergency department.
Improving Healthcare Processes and Outcomes by Directly Integrating Health Information Exchange Data in the Clinical Workflow
The research team will implement and evaluate an integration application that incorporates relevant health information exchange data directly into the electronic health record in the emergency department.
Improving Influenza Vaccine Uptake in Acute Care Settings
This research aims to develop and evaluate a clinical decision support strategy to promote influenza vaccination among children who are hospitalized with the goal to identify insights that broadly apply to clinical decision support for health maintenance interventions in pediatric acute care settings.
Telehealth and Emergency Medicine: A Consensus Conference to Map the Intersection of Emergency Medicine and Telehealth
The goal of this conference is to develop a research agenda to support future clinical practice and evidence-based investigation at the intersection of telehealth and emergency medicine.
IMProving Outcomes Related to Patients Through Advanced Nursing Technology (IMPORTANT)
This research will evaluate a novel, technology-enabled intervention that will determine the impact of bedside shift reporting and hourly rounding on nurse-sensitive patient outcomes.
Scaling E.Q.U.I.P.P.E.D. Clinical Decision Support
This research will further scale clinical decision support aimed at preventing the prescription of inappropriate medications to older adults upon discharge from the emergency department.
Clinical Decision Support for Chronic Pain Management
This research will develop, implement, disseminate, and evaluate reusable, shareable clinical decision support for both patients and clinicians in the area of chronic pain management.
Clinical Decision Support for Chronic Pain Management
This research will develop, implement, disseminate, and evaluate reusable, shareable clinical decision support for both patients and clinicians in the area of chronic pain management.
Implementation of a Novel Multi-Platform Evidence-Based Clinical Decision Support System
This research will demonstrate the use of standards, including SMART on FHIR, combined with service-oriented architecture to bring vendor-agnostic clinical decision support (CDS) tools into commercial electronic health records, and provide evidence for how to implement validated CDS for important clinical domains, pulmonary, and venous thromboembolism, including for patients with COVID-19.
