Kanton Basel-Stadt (Canton of Basel City)

Published on 19-Jun-2012

Validated on 02 Dec 2013

"The aim of the eHealth model is to bring benefits to the patients: the right data at the right time and the right place. Better medical decisions can thereby be made and the number of multiple examinations minimized." - Jan Zbinden

Customer:
Kanton Basel-Stadt (Canton of Basel City)

Industry:
Healthcare

Deployment country:
Switzerland

Solution:
Enterprise Content Management, Industry Framework , Master Data Management, Smarter Planet

Smarter Planet:
Smarter Healthcare

IBM Business Partner:
Swiss Medical Suite AG

Overview

Kanton Basel-Stadt (canton of Basel-Stadt), one of 26 political subdivisions of Switzerland, is located in the northern region of the country and includes the city of Basel, a locale long associated with the pharmaceutical, chemical and financial services industries. People and goods flow freely across the borders of Germany, France and Switzerland through Basel, and more than 30 percent of the canton’s 192,000 residents are foreign nationals.

Business need:
This Swiss border district lobbied for removal of legal barriers impeding cross-border medical care. It had implemented a pilot program to bring integrated health services to district Basel-Stadt and its neighboring districts. The district was embarking on an electronic health records (EHR) initiative that required consolidating disparate patient records to help clinicians work with a single, trusted view of each patient. Meeting the challenges of EHR would pay off by providing the district with a system that would bring continuous care to patients and improved insights to practitioners.

Solution:
District Basel-Stadt needed to create a trustworthy set of unique patient EHRs. It deployed a patient identity solution that uses algorithms optimized for comparison, standardization and weighting of data to match and link patient identities. The goal was to create a single view of each patient, enabling treatment teams to provide non-duplicative care even across international borders. The canton gained an analytical framework to monitor the public's health based on data aggregation and develop course-correction strategies that could be implemented automatically under specific conditions.

Benefits:
Is expected to save the canton up to 80 percent in radiology-related costs by reducing the need to produce and transport hard copies or DVDs of radiologic images Provides a single view of each patient, usable by multiple care providers, to enable the delivery of appropriate medical care to individuals Offers the opportunity to create a type of sensor for the population’s state of health through real-time, automated analysis of all patients’ data records over a lengthy period

Case Study

Kanton Basel-Stadt (canton of Basel-Stadt), one of 26 political subdivisions of Switzerland, is located in the northern region of the country and includes the city of Basel, a locale long associated with the pharmaceutical, chemical and financial services industries. People and goods flow freely across the borders of Germany, France and Switzerland through Basel, and more than 30 percent of the canton’s 192,000 residents are foreign nationals.

The Opportunity
This bustling Swiss border district had successfully lobbied for removal of legal barriers impeding cross-border medical care. It had implemented a pilot program to bring integrated health services to the population of district Basel-Stadt (Switzerland) and its closest neighboring districts. Progressing to a new phase of modernization, the district was embarking on an electronic health records (EHR) initiative that would require consolidating disparate patient records to help clinicians work with a single, trusted view of each patient. Meeting the challenges involved in EHR would pay off by providing the district—and all of Switzerland—with a system that would bring more efficient, continuous care to patients and improved insights to practitioners.

What Makes It Smarter
District Basel-Stadt had reached the stage where it needed to create and share a trustworthy set of unique patient EHRs. It deployed a powerful patient identity solution that uses algorithms optimized for comparison, standardization and weighting of patient data in order to accurately match and link patient identities. The goal was to create a single view of each patient, enabling treatment teams to seamlessly provide non-duplicative medical care—going forward even across international borders. The canton gained a new analytical framework to help it monitor the general health of the public based on data anonymization and aggregation and develop a set of course-correction strategies that could be implemented automatically under specific conditions.

Real Business Results
· Is expected to save the canton up to 80 percent in radiology-related costs by reducing the need to produce and transport hard copies or DVDs of radiologic images
· Provides a single view of each patient, usable by multiple care providers, to enable the delivery of appropriate medical care to individuals
· Offers the opportunity to create a type of sensor for the population’s state of health through real-time, automated analysis of all patients’ data records over a lengthy period

Products and services used

IBM products and services that were used in this case study.

Software:
IBM Initiate Master Data Service, Content Manager

Legal Information

© Copyright IBM Corporation 2012 IBM Corporation Software Group Route 100 Somers, NY 10589 Produced in the United States June 2012 IBM, the IBM logo, ibm.com and Initiate are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml This document is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates. The performance data and client examples cited are presented for illustrative purposes only. Actual performance results may vary depending on specific configurations and operating conditions. THE INFORMATION IN THIS DOCUMENT IS PROVIDED “AS IS” WITHOUT ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON-INFRINGEMENT. IBM products are warranted according to the terms and conditions of the agreements under which they are provided.