Data Science

Healthcare Data Management: Three Case Studies

Davies Award of Excellence
Clinician analyzes patient healthcare data

The HIMSS Davies Awards program promotes HIMSS’s vision and mission by recognizing and sharing case studies, model practices and lessons learned on how to improve health and wellness through the power of information and technology. 2019 Davies Award winner Yale New Haven Hospital was recognized for enhancing healthcare data management in a variety of scenarios. Explore their three case studies below to learn more.

Case Studies

1. Redesigning the Neurology and Neurosurgery Intensive Care Unit

Yale New Haven Hospital needed to enable direct communication between care providers within their redesigned neurology and neurosurgery intensive care unit. This was a transition from a large, multi-isolates model—where multiple care providers could easily ask a nearby colleague for assistance, hear if a neonate alarm went off a few feet away and notice when a colleague was struggling with an infant; to private, isolated patient care rooms—where no care provider may be present at times and providers are isolated from their colleagues.

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2. Addressing the Opioid Crisis

In light of the national opioid crisis, Yale New Haven Health wanted to reduce the risk of addiction by minimizing the euphoric variable associated with a bolus of opioid administered intravenously, which can lead to dependency. They also wanted to reduce the number of opioid pills prescribed post-discharge to discourage habitual use.

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3. Implementing a Capacity Coordination Center

Yale New Haven Hospital needed to facilitate continued success of their safe patient flow initiatives to provide additional value to patients. They put a clinical redesign effort in place to achieve specific process improvement goals related to patient discharge, admissions from the emergency department, reducing wait and transport times, and more. Their Capacity Coordination Center was implemented to expedite these efforts, remove communication barriers and improve the flow of healthcare data management.

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