Cardiovascular Disease

Adapting a clinical decision support system to improve identification of pediatric hypertension in a rural health system: Design of a pragmatic trial.

Principal Investigator

Identifying high need primary care patients using nursing knowledge and machine learning methods.

Principal Investigator

Relationship between a risk score for QT interval prolongation and mortality across rural and urban inpatient facilities.

Principal Investigator

Predictive Monitoring: IMPact of Real-Time Predictive Monitoring in Acute Care Cardiology Trial (PM-IMPACCT)

Description

This research evaluates an artificial intelligence risk predictive tool called CoMET that uses visual outputs of patient data to serve as an early warning system for patients at risk of cardiac decompensation to allow for earlier intervention and reduction in morbidity and mortality.

Grant Number
R01 HS028803

Implementation of a Novel Multi-Platform Evidence-Based Clinical Decision Support System - Final Report

Principal Investigator

Automated pulmonary embolism risk assessment using the Wells criteria: Validation study.

Principal Investigator

Implementation of an Electronic Care Plan for People With Multiple Chronic Conditions - Final Report

Principal Investigator

Collaboration-Oriented Approach to Controlling High Blood Pressure (COACH)

Description

This research will refine an existing interoperable, patient-facing blood pressure control tool--the Collaboration Oriented Approach to Controlling High Blood Pressure (COACH) application--evaluate its implementation into three diverse clinical settings; conduct a randomized trial to assess its impact on lowering blood pressure; and develop a shareable, interoperable mechanism to aid in the dissemination of patient-facing clinical decision support tools.

Grant Number
R18 HS028579
Principal Investigator(s)