Sanofi-a Ventis Deutschland Gmbh

Jochen Sieber

Frank Flacke

Axel Teucher

Andrew Tubb

Florian Schauderna

Anton Petkov

Lars Berger

Frank Roethke

Alexandra Beer

Ashley Engelhardt

Joseph Pomata

Thora Thorgilsdottir

Alyssa Rosenzweig

Margaret Wiley

A data management unit for supporting health control, the unit including: a processor, a data input adapted to input data and/or requests and connected to the processor, a data storage connected to the processor, wherein the processor is adapted to assign a tag referring to an event chosen from a group of tags comprising the fasting tag and at least one other event tag to a new data received from the data input or a measurement unit, wherein the tag is assigned either automatically by the processor and/or via the data input, wherein the fasting tag can only be assigned to the new data if a time stamp of the new data is within a predefined fasting window, wherein the predefined fasting window is stored in the data storage.

Data management unit for supporting health control

The present invention refers to a data management unit for supporting health control and a corresponding medical device comprising a data storage () adapted to store a plurality of measurement values of a physiological parameter, for example the fasting blood glucose level, and for each measurement value an associated time stamp and a trend indicator (), wherein the trend indicator is adapted to indicate different trend categories, for example an increasing trend, a steady trend and a decreasing trend, preferably as a respective visible sign () on a display () and/or as a respective audible signal by a loudspeaker, a processor () adapted to select a first group of measurement values and a second group of measurement values from the plurality of measurement values of the data storage () such that the associated time stamp of each of the measurement values of the first group is in a predefined first time interval and the associated time stamp of each of the measurement values of the second group is in a predefined second time interval, wherein the second time interval is more recent than the first time interval, wherein the processor is further adapted to calculate a first mean value as a median from the first group of measurement values and a second mean value from the second group of measurement values, wherein the processor () interacts with the trend indicator () such that the trend indicator () indicate one of the different trend categories, for example the increasing trend, the steady trend or the decreasing trend, dependent on a result of a comparison of the second mean value to the first mean value. Additionally, the invention refers to a corresponding method and a computer program for indicating a trend, and to a corresponding computer program product.

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Frankfurt am Main, Germany

Jochen Sieber