How Real-time Analytics improves outcomes in Health Care

2 min read

How Real-time Analytics improves outcomes in Health Care

Healthcare worldwide is in crisis – high costs, poor or inconsistent quality, and inaccessibility are potentially catastrophic. There is a growing, aging population around the world.  Baby boomers are now entering the senior population.  We are seeing a huge amount of cost pressure in the system, focused on improving the quality of care, but at a much more affordable cost. The current trend of escalating costs, not tied to quality is not sustainable.

Healthcare worldwide

What patients expect is changing. The quality of care is increasingly important – as patients begin to exercise their right to choose how and with whom they engage for their healthcare. They demand transparency of data and processes. As a consequence, healthcare organizations will need to focus on how quality outcomes can be published in a meaningful way for patients. Patient safety is the major focus of patient advocacy groups and healthcare leaders. They will enforce deeper investigations of medication errors, hospital acquired infections, wrong site surgery or pressure sores, like never before.

IBM Streams enables predictive analytics of data in motion for continuous 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 IBM Streams helps to save lives

  1. Fusing different data sources continuously: 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.

  2. Highly personalized care: Detect signs earlier to improve patient outcomes and reduce length of stays. Automated or clinician-driven knowledge discovery to identify new relationships between data stream events and medical conditions.

  3. Proactive treatment: Build a profile for each patient based on personalized data streams and receive insights continuously

The Irish Centre for Fetal and Neonatal Translational Research (INFANT) is a world-leading perinatal research center funded by Science Foundation Ireland improves outcomes in neonatal intensive care with IBM Streams. They are able to recognize neurological problems much quicker with IBM Streams and are able to provide better patient outcomes.

Learn more information on IBM Streams, and try the cloud services or the IBM Streams Quick Start Edition. Also, be sure to join the IBM Streams community.

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