InfoSphere Streams and Healthcare
Healthcare worldwide is in crisis - high costs, poor or inconsistent quality, and inaccessibility are potentially catastrophic. While there is no limit to the amount of data continuously being generated in provider organizations, some lack a way to analyze and correlate the data in real time. InfoSphere Streams enables predictive analytics of data in motion for real-time decisions allowing healthcare providers to capture and analyze data - all the time, just in time. The end goal is to save lives, shorten hospital stays and build healthier communities revolving around preventative care.
Three ways InfoSphere Streams helps to save lives:
- Fusing different data sources in real time: Medical devices provide visual displays of vital signs through physiological streams such as electrocardiogram (ECG), heart rate, blood oxygen saturation (SpO2), and respiratory rate. Electronic health record initiatives around the world create more sources of medical data. Life-threatening conditions such as nosocomial infection, pneumothorax, intraventricular hemorrhage and periventricular leukomalacia can be detected using analytics that fuse different data sources.
- Highly personalized care: Detect signs earlier to improve patient outcomes and reduce length of stays. Automated or clinician-driven knowledge discovery to indentify new relationships between data stream events and latent medical conditions.
- Proactive treatment: Build a profile for each patient based on personalized data streams and receive insights in real time.
Results: anticipate disease onset and deliver real time patient data to make life changing decisions.
Cutting edge, real-time patient monitoring systems
The Emory University Hospital ICU is using a new patient monitoring system that allows clinicians to acquire, analyze, and correlate medical data at a volume and velocity that has never before been possible.
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Delivers real-time analytic processing for information you can trust