Published on 24 Oct 2011
“ We want technology that will make it possible to gather the knowledge of the hospital’s top physicians so it can be turned into standardized procedures and best practices. We expect to be able to analyze care and outcome data to improve the effectiveness of traditional medicine. ”
Chen Da Can, Vice President, Guangdong Hospital of Traditional Chinese Medicine
Guangdong Hospital of Traditional Chinese Medicine
With five branches and more than 3,000 beds, Guangdong Hospital of Traditional Chinese Medicine is the largest hospital system in southern China. The hospital treats approximately 16,000 patients each day, and outpatient visits total more than 5.6 million annually. Founded in 1933 as Guangdong Provincial Hospital, the organization strives to attract the brightest minds in medicine, pursue the highest levels of traditional Chinese treatment modes along with cutting-edge modern methods and lead China’s medical community in clinical efficacy.
Guangdong Hospital of Traditional Chinese Medicine wanted to capture, share and perform empirical studies on outcomes information from its use of traditional Chinese treatments and compare these with Western treatments used to explore alternative or complementary therapies. However, new international standards for health data storage presented challenges for applying the analytics best suited to meeting the hospital’s objectives. The hospital needed a solution that would overcome the complexity inherent in the new standards, harness the data and unlock the insights contained therein.
Guangdong Hospital of Traditional Chinese Medicine was able to help IBM validate a brand new tool for mitigating the complexity of the new XML-based Clinical Document Architecture standard. Using the new tool, the hospital conducted an ambitious data-sharing and analytics project aimed at studying the effectiveness of traditional and Western treatments on chronic kidney disease. The tooling eases the storage and integration of patient data and provides doctors with detailed reports that correlate patients’ conditions with their demographics and the presence of other health conditions.
· Simplifies integrating, storing and analyzing large XML data sets to enable meaningful studies that will improve patient outcomes, boost the quality of hospital care and reduce costs · Provides the full context for all clinical data, facilitating more meaningful aggregation as well as better understanding of each case · Enables the hospital to use accepted standards for managing clinical and business data, with full support for its data warehouse model and standard BI tools
IBM products and services that were used in this case study.
WebSphere Integration Developer, InfoSphere Warehouse, DB2 for Linux, InfoSphere DataStage, Cognos Business Intelligence, InfoSphere Data Architect
HC: Analytics and Reporting, BA - Business Analytics, Business Integration, BA - Business Intelligence, Data Warehouse, IBM Research, Information Governance, Smarter Planet
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