Analysis of hospitalised patient flows using data-mining

Face to the development of hospital information system in the "Hôpital Européen George Pompidou" (HEGP), computerized patients records made medical data easier to analyse than before. We use data-mining technology to analyse intra-hospital patients' paths with one year of PMSI data (a French medical information system similar to Diagnosis Related Group).

1. "sequential patterns mining" was used to analyse the most frequent patients' paths, 2. an integrated framework of "association rules mining" and "classification rule mining" was used to build prediction rules of patients' paths.

We construct a rule based prediction model, which gives the tendency of the patient's paths between the different medical units.