Let your own data show patterns, correlations, anomalies and provide deep insights into causes and effects.

Get valid support for your decisions from your own data and save time and effort evaluating data.

The system integrates various data analyses which are customized to meet the individual requirements.

An efficient data management provides for consistent data in the data warehouse and forms the basis for AI-based data analyses.

Deep insights into data

Various analyses in one system

Intuitive operation

Highly customizable

Modularly expandable

Easy integration

Our data analyses come with a modular design providing adequate analysis options for any therapy.

Packet 1:  "Insights"

The population of patient data is clearly and comprehensibly visualized with our tool at the touch of a button.

Doctors can derive significant results immediately without having to analyze complex data and statistical key figures.

Various options and filters support users comprehensively generating statements about any subsets of data.

Details: Average values, distributions and variances, patterns and correlations between parameters are collected automatically and visualized in an understandable way.

Packet 2:  "Check-up"

Data anomalies or simply statistical outliers in given data are automatically detected and intuitively visualized by our tool.

A particular adavantage is that patient data significantly differing from empirical values or patients requiring particular attention in medical evaluation can be determined.

Details: Data inconsistencies as well as rare characteristics of collected parameters are detected with statistical analyses and marked as Statistical conspicuities according to their probability of occurrence. It is also possible to make statements as to parameters being distributed unevenly or whether an increased number of statistic fluctuations can be expected.

Packet 3:  "Effects"

Our tool can calculate statistical indications as to the success rates of various therapies. Different therapy variants can be compared in the most simple way and they can also be correlated with particular characteristics of patients.

These methods facilitate the optimal treatment of patients and point the most probable way to a speedy recovery.

Details: Ranging from simple Kaplan-Meier analyses up to complex survival analyses with serveral influence factors, these methods determine statistical indications for successful therapies as well as patient key figures effecting therapy and recovery.

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