In healthcare, operational data is continually collected as hospitals attempt to manage information on bed availability, occupancy, cancelled operations, bed turnaround times, and patient-to-caregiver interactions.
Data analytics assigns meaning to all of that information, which can then be used to drive improvements across the network of care. In healthcare, patient data relates to the patient’s journey across the care continuum and their interactions with caregivers. It can be flow related—such as the number of dead-bed minutes, the time it takes to place a patient, room turnaround time, and discharge readiness. It can be quality related— such as care hours per patient day and medical equipment location. It can be harm related—such as response time to a patient fall and patient associated Hand Hygiene Index [HHI].
To see how to improve efficiency through data analytics, read the full article here.
[Editor’s Note: This post was originally posted on TeleTracking’s blog.]
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