DaphOS Data Warehouse
to support management decisions
For more than 10 years, we have been collecting and structuring anonymized reference data from the healthcare sector in our in-house data warehouse. Today, our customers can use this data for both benchmarking and AI training purposes.
Organizational units in the acute area
Organizational units in long-term care
Healthcare facilities
Organizational units in the rehab area
Everyone knows the famous saying: “Garbage in – garbage out”
Or in other words: AI models are only as good as the data they are “trained” with. The better this“training data“, the more reliable and robust the results of the AI models will be. Our customers benefit from our quality-assured and constantly growing reference data set.
What makes good training data?
Good training data depends on three factors: The amount of data, the diversity (number of different sources from which the data originates) and the reliability (accuracy and correctness of the data).
- Diversity: Our data comes from over 150 different healthcare facilities in the DACH region
- Reliability: All data is carefully checked and continuously validated by us
- Quantity: The data warehouse already contains data from over 2000 organizational units
Understanding the whole process
In the data warehouse, not only individual data points and key figures were collected, but also a large number of processes on and around the patient with the underlying activities. With the help of this specific data, our AI can better assess the possible effects of decisions and take them into account in its recommendations for action.
Make your organization
Let us show you the DaphOS AI platform in a free 30-minute appointment and tailor it to the needs of your organization.
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