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Identification of Empirically “Suspicious” Data Sets in Data Quality Assurance For a New Hospital Financing System in Austria
K.P. Pfeiffer, E. Bechter, G. Embacher, K. Erhart, W. Fürst, U. Gruber, L. Neuner, B. Pesec, M. Pöll, M. Pregartbauer, R. Reindl, D. Wohlgenannt
401 - 404
10.3233/978-1-60750-878-6-401
Studies in Health Technology and Informatics
Volume 34: Medical Informatics Europe ’96
Abstract

A Minimum Basic Data Set is used for a new hospital financing system in Austria. Therefore different data quality assurance plans have been developed which help to identify “suspicious” data sets. Furthermore strategies for continuous data quality improvement will be discussed.

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