DocumentCode :
3142868
Title :
An operational data store for reporting clinical practice guideline adherence in chronic disease patients
Author :
Hamm, Carolyn K. ; Kennedy, Matthew R. ; Wu, Timothy T. ; Phillips, Jill S.
Author_Institution :
Decision Support Center, Walter Reed Army Medical Center, Washington, DC, USA
fYear :
2004
fDate :
24-25 June 2004
Firstpage :
78
Lastpage :
83
Abstract :
An operational data store was designed to extract, load and transform data contained in a transactional outcomes management database. The system was designed to be easily updatable from the production environment, and provide rapid, widely accessible reporting capabilities. Clinical practice guideline success data, patient-reported outcomes measures, and clinical patient data were collected from many systems to populate the data warehouse and data store. Five years of patient data in the Walter Reed Health Care System have been loaded, and refreshed on an on-going periodic basis. Reporting tools enabled users to drill down from the hospital, to clinic, to provider level for compliance measures, success rates, and various other metrics. The operational data store helped the Walter Reed Health Care System achieve certification in six disease-specific care Certifications of Distinction from the Joint Commission on Accreditation of Healthcare Organizations.
Keywords :
data warehouses; diseases; medical administrative data processing; meta data; patient monitoring; records management; chronic disease patients; clinical patient data; clinical practice guideline adherence; clinical practice guideline success data; data extraction; data loading; data transformation; data warehouse; operational data store; outcomes management database; patient-reported outcomes measures; six disease-specific care; Accreditation; Certification; Data mining; Data warehouses; Diseases; Guidelines; Hospitals; Medical services; Production systems; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on
ISSN :
1063-7125
Print_ISBN :
0-7695-2104-5
Type :
conf
DOI :
10.1109/CBMS.2004.1311695
Filename :
1311695
Link To Document :
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