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Medical device data


Everything from intensive care units to wearable devices generates multiple types of machine data. Just about every aspect of patient care inside and out of a hospital setting can be instrumented. While the primary goal is to save lives, a crucial secondary goal is to reduce healthcare costs by reducing the both the number of potential visits to a hospital as well as the length of stay.  Most devices inside a hospital are connected to local monitoring applications. But it’s possible to monitor patient care remotely using sensors that communicate with either a wearable device or some other system for monitoring patients in their homes. 

Machine data makes it simpler for medical professionals to analyze both patient and anonymous data across a broad range of geographically distributed regions—for example, to see how certain diseases are affecting one group of people more than another. These insights can also be used to help improve patient experience and deliver better care.

Before looking at documentation for specific data sources, review the Splunk Docs information on general data ingestion: 

Use cases for the Splunk platform