Methods Inf Med 1979; 18(03): 131-137
DOI: 10.1055/s-0038-1636461
Original Article
Schattauer GmbH

A Database Built Upon the Medical Event Vector[*]

EINE AUF DEM »MEDICAL EVENT VECTOR« AUFGEBAUTE DATENBANK
M. Gleser
1   From the Department of Health Services Research, USPHS Hospital, Seattle, Washington
,
G. Young
1   From the Department of Health Services Research, USPHS Hospital, Seattle, Washington
,
D. Woods
1   From the Department of Health Services Research, USPHS Hospital, Seattle, Washington
› Author Affiliations
Further Information

Publication History

Publication Date:
14 February 2018 (online)

PHAMIS is an automated medical information system designed to provide long-term storage and retrieval of clinical information about Public Health Service patients. The patient database is composed of clinical events stored in compact format as multidimensional vectors in a write-once, read-only file to minimize file maintenance. Clinical observations are recorded as pointers to a large and expandable dictionary, rather than as text, to reduce storage requirements. The database design includes both within-patient-record and between-patient-recorcl indexes to speed data retrieval and facilitate report generation.

PHAMIS ist ein automatisiertes medizinisches Informationssystem, das entwickelt wurde, um Lang-zeitspeiclierung und Wiederauffindung klinischer Informationen über Patienten im öffentlichen Gesundheitsdienst zu ermöglichen. Die Patientendatenbank setzt sich zusammen aus in kompakter Form gespeicherten klinischen Ereignissen als multidimensionale Vektoren in einem »write-once, read-only file«, um die Haltung der Datei möglichst einfach zu gestalten. Klinische Beobachtungen werden als Pointer auf ein großes und erweiterungsfähiges Wörterbuch erfaßt, nicht so sehr als Text, um che Speichererfordernisse zu reduzieren. Die Planung der Datenbank berücksichtigt sowohl Serien von Krankengeschichten des gleichen Patienten als auch Listen von Krankengeschichten verschiedener Patienteil, um die Wiederauffindung der Daten zu beschleunigen und die Berichterstellung zu erleichtern.

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


 
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