This paper presents an overview on the design and implementation of a computer system for the interpretation of home monitoring data of diabetic patients. The comprehensive methodology covers the major information processing steps leading from raw data to a concise summary of what has happened between two subsequent visits. It includes techniques for summarising and interpreting data, checking for inconsistency, identifying and diagnosing metabolic problems and learning from patient data. Data interpretation focuses on extracting trend patterns and classifying/clustering daily blood glucose (BG) profiles. The software helps clinicians to explore data recorded before the main meals and bedtime, and to identify problems in the patient's metabolic control which should be addressed either by educating the patient and/or adjusting the current management regimen.
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