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High Speed Clinical Data Retrieval System with Event Time Sequence Feature
- Source :
- Methods of Information in Medicine. 47:560-568
- Publication Year :
- 2008
- Publisher :
- Georg Thieme Verlag KG, 2008.
-
Abstract
- Summary Objectives: This paper illustrates a high speed clinical data retrieving system, from 10 years of data of operating hospital information system for the purposes of research, evidence creation, patient safety, etc., even incorporating time sequence of causal relations. Methods: Total of 73,709,298 records of 10 years at Hamamatsu University Hospital (as of June 2008) are sent from HIS to retrieval system in HL7 v2.5 format. Hierarchical variable length database is used to install them. Results: A search for “listing patients who were prescribed Pravastatin (Mevalotin and generic drugs, any titer)” took 1.92 seconds. “Pravastatin (any) prescribed and recorded AST >150 within two weeks” took 112.22 seconds. Searching conditions can be set to be more complex, connected by Boolean operator and/or. This system called D*D is in operation at Hamamatsu University Hospital since August 2002. It is used for 48,518 times (monthly average of 703 searches). Neither searching, nor background export of data from HIS caused delay of routine operating CPOE. Conclusions: Search database outside of routine operating CPOE, with daily export of order data in HL7 v2.5 format, is proved to provide excellent search environment without causing trouble. Hierarchical representation gives high-speed search response, especially with time sequence of events.
- Subjects :
- Hospital information system
Biomedical Research
Time Factors
Health Informatics
Listing (computer)
computer.software_genre
Medical Order Entry Systems
Access to Information
Hospitals, University
Set (abstract data type)
Patient safety
Japan
Health Information Management
Data retrieval
Humans
Medicine
Advanced and Specialized Nursing
Evidence-Based Medicine
Data collection
Clinical Laboratory Techniques
business.industry
Event (computing)
Data Collection
Databases as Topic
Feature (computer vision)
Hospital Information Systems
Patient Care
Data mining
Safety
business
computer
Medical Informatics
Subjects
Details
- ISSN :
- 2511705X and 00261270
- Volume :
- 47
- Database :
- OpenAIRE
- Journal :
- Methods of Information in Medicine
- Accession number :
- edsair.doi.dedup.....2b081d30b8f818580d424b0dc6a27e76