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SHR Neuro Cancer Cardio Lipid

Schulz, S; Daumke, P; Fischer, P; Müller, M; Müller, ML.
Evaluation of a document search engine in a clinical department system.
AMIA Annu Symp Proc. 2008; 181(1):647-651 [OPEN ACCESS]
PubMed PUBMED Central

 

Authors Med Uni Graz:
Schulz Stefan
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Dimensions Citations:

Plum Analytics:
Number of Figures: 2
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Abstract:
MorphoSaurus, a concept-based document search engine,was incorporated into an EHR system in order to support search across the whole corpus of patient discharge letters and other clinically relevant documents. A user survey showed a general satisfaction with the system and revealed novel usages for information stored in discharge letters.The retrieval system was also used to identify relevant documents for a five-year retrospective survey of suspicious syphilis cases in the department. This retrieval scenario was used to assess the performance of MorphoSaurus against a manually created gold standard. A substring search for the German words "syphilis" and"lues" was used as baseline. The system yielded a precision p = 20.1% and a recall r = 100%. The values for the substring "syphilis" were p = 65.5% and r = 47.5%, for"lues" p = 15.4% and r = 87.7%. The results support the use of the proposed recall-oriented search across EHR documents to acquire valid and complete data for epidemiology studies in hospital populations.
Find related publications in this database (using NLM MeSH Indexing)
Algorithms -
Artificial Intelligence -
Attitude of Health Personnel -
Consumer Satisfaction -
Database Management Systems - utilization
Documentation - methods
Documentation -
Information Storage and Retrieval - methods
Medical Records Systems, Computerized - utilization
Natural Language Processing -
Pattern Recognition, Automated - methods
Questionnaires -
User-Computer Interface -

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