IBM Watson (IBM) Case Studies Harnessing real-time data to give a holistic picture of patient health

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	Harnessing real-time data to give a holistic picture of patient health IBM Watson (IBM)

Harnessing real-time data to give a holistic picture of patient health

IBM Watson (IBM)

Technology Category	Analytics & Modeling - Big Data Analytics
Applicable Industries	Healthcare & Hospitals
Applicable Functions	Business Operation
Use Cases	Remote Patient Monitoring
Challenge	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. Read More
About Customer	CléMetric's Q2Care software harnesses, manages, and stores patient data produced by medical systems across a provider's enterprise network. Read More
Customer Name	CléMetric Read More
Solution	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. Read More Log in to view content
Data Collected	Electrocardiography (ECG), Electronic Medical Record, Health Parameters, Medical Diagnostic Instruments, Personal Medical Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Applicable Industries

Healthcare & Hospitals

Applicable Functions

Business Operation

Use Cases

Remote Patient Monitoring

Challenge

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.

About Customer

CléMetric's Q2Care software harnesses, manages, and stores patient data produced by medical systems across a provider's enterprise network.

Customer Name

CléMetric

Solution

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.

Data Collected

Electrocardiography (ECG), Electronic Medical Record, Health Parameters, Medical Diagnostic Instruments, Personal Medical

Impact #1	[Process Optimization - Real Time Monitoring] With a near real-time, holistic view of patient health, caregivers can make smarter, faster decisions about how best to treat patients.
Impact #2	[Efficiency Improvement - Operation] CléMetric sees huge potential for bringing together near real-time physiological data with the latest research data from medical journals to open up new insight into patients, conditions and treatment patterns.

Impact #1

[Process Optimization - Real Time Monitoring]
With a near real-time, holistic view of patient health, caregivers can make smarter, faster decisions about how best to treat patients.

Impact #2

[Efficiency Improvement - Operation]
CléMetric sees huge potential for bringing together near real-time physiological data with the latest research data from medical journals to open up new insight into patients, conditions and treatment patterns.

Benefit #1	1,000+ data points are analyzed per patient per second by IBM Watson, which delivers fast health insight.

Benefit #1

1,000+ data points are analyzed per patient per second by IBM Watson, which delivers fast health insight.

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Overview

Harnessing real-time data to give a holistic picture of patient health

Operational Impact

Quantitative Benefit