This research will implement a personalized and electronically integrated shared clinical decision support system for left ventricular assist devices in patients with advanced heart failure.
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.
This study will integrate a previously piloted risk tool and clinical decision aid, MammoScreen, with an EHR to provide personalized decision support for both patients and clinicians to improve quality of care for women who are at increased risk for breast cancer.
The overall goal of the research is to advance the integration and use of patient-generated digital health data in ambulatory care settings.
This research will validate a shared decision making tool integrated with patient-reported outcomes and clinical data from electronic health records for enabling decision support in patients with knee osteoarthritis considering total knee replacement.
This research aims to develop and test a voice-activated smart system that will promote self-management and provide coping tools, motivation, and social support to help older adults with multiple chronic conditions.
The purpose of this research is to develop a standards-based, interoperable, and publicly available clinical decision support resource to aid primary care practices in instituting routine fall risk assessment and prevention care plans.
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.
This research aims to enhance and implement a clinical decision support tool that will support providers and underinsured patients in making personalized decisions regarding diet goal setting.
This research aims to determine the feasibility, acceptability, and outcomes associated with the use of Cloud Care, a cloud-based multidisciplinary care plan for children with medical complexity.