Published on 01-Sep-2011
Validated on 13 May 2013
"The improvement in the quick diagnosis and treatment of rare diseases can mean the difference in the lives of patients." - Geert Smits
Customer:
Universitair Ziekenhuis Antwerpen (UZA)
Industry:
Healthcare
Deployment country:
Belgium
Solution:
Business Analytics, Business Intelligence, C-Suite Framework, Information Integration, Smart Work, Smarter Planet, Infrastructure Simplification, Operational Management
Smarter Planet:
Smarter Healthcare
Overview
The University Hospital of Antwerp is a University Center for top clinical and customer-friendly patient care.
Business need:
One of the biggest challenges in treating rare diseases (those that affect fewer than 5 people in 10,000) is the provision of an early diagnosis. Because of the rarity of their disease, patients may not be diagnosed early enough for the most effective treatments. UZA wanted to be able to diagnose and treat these rare diseases earlier and more effectively. To do so, it needed to be able to access and use information from many sources.
Solution:
The University’s rare-disease diagnosis platform allows for an earlier, quicker and more accurate diagnosis by integrating both medical expertise and data mining tools. Rules are generated much faster and more accurately through a predictive model based on known patient data. In comparison with a pure rule-based system, a combination with data mining tools provides both higher sensitivity and more specificity. The solution can serve as an intelligent and dynamic knowledge base on rare diseases.
Benefits:
· Rules are generated more quickly and accurately using a predictive model based on known patient data
· The solution can serve as an intelligent and dynamic knowledge base on rare diseases, improving the quick diagnosis and treatment of rare diseases
· Compared with a pure rule-based system, a combination of rules and data mining tools provides both higher sensitivity and more specificity
Case Study
The University Hospital of Antwerp is a University Center for top clinical and customer-friendly patient care.
The Opportunity
One of the biggest challenges in treating rare diseases (those that affect fewer than 5 people in 10,000) is the provision of an early diagnosis. Because of the rarity of their disease, patients may not be diagnosed early enough for the most effective treatments. UZA wanted to be able to diagnose and treat these rare diseases earlier and more effectively. To do so, it needed to be able to access and use information from many sources.
What Makes it Smarter
The University’s rare-disease diagnosis platform allows for an earlier, quicker and more accurate diagnosis by integrating both medical expertise and data mining tools. Rules are generated much faster and more accurately through a predictive model based on known patient data. In comparison with a pure rule-based system, a combination with data mining tools provides both higher sensitivity and more specificity. The solution can serve as an intelligent and dynamic knowledge base on rare diseases. The improvement in the quick diagnosis and treatment of rare diseases can mean the difference in the lives of patients.
Real Business Results
· Rules are generated more quickly and accurately using a predictive model based on known patient data
· The solution can serve as an intelligent and dynamic knowledge base on rare diseases, improving the quick diagnosis and treatment of rare diseases
· Compared with a pure rule-based system, a combination of rules and data mining tools provides both higher sensitivity and more specificity
For more information
Please contact your IBM sales representative or IBM Business Partner. Visit us at: ibm.com/healthcare
To learn more about Universitair Ziekenhuis Antwerpen visit: http://www.uza.be/UZA
Products and services used
IBM products and services that were used in this case study.
Software:
WebSphere ILOG JRules, SPSS Statistics Standard
Service:
GBS App Innovation Svcs: Master Data Management, GBS Strategy and Change: Business Strategy, IBM Global Business Services, IBM Global Services, Software Services for Information Management, Software Services for WebSphere
Legal Information
© Copyright IBM Corporation 2011 IBM Corporation 1 New Orchard Road Armonk, NY 10504 U.S.A. Produced in the United States August 2011 All Rights Reserved IBM, the IBM logo, ibm.com, Global Business Services, ILOG, SPSS and WebSphere are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml Other company, product or service names may be trademarks or service marks of others. The information contained in this documentation is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this documentation, it is provided “as is” without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this documentation or any other documentation. Nothing contained in this documentation is intended to, nor shall have the effect of, creating any warranties or representations from IBM (or its suppliers or licensors), or altering the terms and conditions of the applicable license agreement governing the use of IBM software.