The objective of this proposal is to develop, implement, and test the effectiveness of a computerized clinical decision support system for hospitalized patients with heart failure. Aim 1: Develop an electronic health record (EHR) based search method that uses both structured data and natural language processing of unstructured text to identify hospitalized patients with heart failure while they are still in the hospital. Aim 2: Develop and test the usability of an electronic health record (EHR) based clinical decision support system (CDSS) to support delivery of evidence-based care to hospitalized heart failure patients using human computer interaction methods. Aim 3: Assess the effect of an electronic health record (EHR) based clinical decision support system (CDSS) on processes of care for heart failure patients who are hospitalized for other causes. As part of the evaluation, we will test two implementation strategies, one of which will introduce the CDSS as an interruptive alert to providers, the second of which will introduce the CDSS as part of a provider checklist that exists on the side of the screen for each patient.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
SINGLE
Enrollment
958
Traditional Pop Up Alert used in Epic
Noninterruptive alert that sits in the checklist
New York University School of Medicine
New York, New York, United States
Percent of Patients with a Secondary Diagnoses of Heart Failure
These patients will also have had of left ventricular function (LV) Assessment either prior to or during the hospitalization or planned for post discharge
Time frame: 90 Days
Percentage of patients with a secondary diagnosis of heart failure and LV systolic dysfunction who have been prescribed an Angiotensin-converting enzyme (ACE) inhibitor or Angiotensin II receptor blockers (ARB)
Time frame: 90 Days
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