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Using Routine Data to Predict Fall Frequency

Background

The use of clinical routine data offers considerable potential for predicting fall frequency in inpatient and outpatient care. By analysing structured healthcare data, risk-relevant patterns can be identified and preventive measures can be supported at an early stage. Building on existing research activities in Dresden and Halle, the previous line of research is to be taken up and continued. The required data access and cross-site analysis would need to be carried out through the structures of the Medical Informatics Initiative (MII) or the German Health Research Data Portal (FDPG).

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ECDF
Department Wirtschaftsinformatik