Harnessing real-time data to give a holistic picture of patient health
- Analytics & Modeling - Big Data Analytics
- Healthcare & Hospitals
- Business Operation
- Remote Patient Monitoring
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.
IBM Streams serves as a cornerstone of the CléMetric application suite—enabling the company to collect, analyze and correlate information as it arrives from a variety of medical monitoring devices, such as electrocardiograms, pulse oximeters and pulmonary artery catheters. CléMetric combines the power of IBM stream and cognitive computing with a range of analytics, data management and visual discovery tools to enable active patient monitoring, as well as retrospective analysis. Data is pulled from patient monitors in near real time and integrated into a single dashboard, giving clinicians a holistic view of each patient.