Methods Inf Med 1979; 18(03): 127-131
DOI: 10.1055/s-0038-1636468
Original Article
Schattauer GmbH

The Medical Event Vector*)

DER MEDICAL EVENT VEKTOR
M. Gleseb
1   From the Department of Health Services Research, USPHS Hospital, Seattle ¡Washington
› Author Affiliations
Further Information

Publication History

Publication Date:
14 February 2018 (online)

The Medical Event Vector (MEV) is a vector of nineteen dimensions which serves as the basic storage unit for all medical observations in an automated medical information system. Each MEV dimension stores an attribute of the observation; e.g., date recorded, patient and provider identification, the subject of the observation, the data type, etc. Symptoms, signs, diagnoses, laboratory results, procedures ancl treatments all can be stored as MEVs in identical format. Data can be stored in sufficient detail for clinical applications, ancl can be summarized easily for administrative and research purposes. The use of a single consistent, multidimensional data item for all medical information greatly simplifies database design and facilitates data manipulation, organization, selective retrieval and software development.

Der Medical Event Vektor (MEV) ist ein Vektor mit neunzehn Dimensionen, der als Basisspeichereinheit für alle medizinischen Beobachtungen in einem automatisierten medizinischen Informationssystem dient. Jede MEV-Dimension speichert ein Attribut der Beobachtung, z.B. Datum des Berichts, Identifiziermag von Patient und Berichterstatter, Gegenstand der Beobachtmag, Datenart usw. Symptome, Zeichen, Diagnosen, Laboratoriumsergebnisse, Verfahren unci Behandlungen können alle im gleichen Format als MEVs gespeichert werden. Daten können mit ausreichender Genauigkeit für die klinische Anwendung gespeichert und leicht für administrative macl Forschungszwecke summiert werden. Die Benutzung eines einzelnen, gleichbleibenden, multidimensionalen Merkmals für che ganze medizinische Information vereinfacht die Planung cler Datenbank erheblich auad erleichtert die Handhabung der Daten, ihre Organisation, selektives Retrieval mad Software-Entwicklung.

* The opinions and conclusions presented here in are those of the author and may not represent the views of the U.S. Public Health Service.


 
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