Recommendation

The Polyteia software suite is recommended by the Academy for Public Health (AÖGW).

Background.

The Academy for Public Health (AÖGW) has been the central institution for education, training, and professional development in the Public Health Service (ÖGD) for over 50 years, with more than 19,000 participants each year. Together with the Project Office for Digital Tools (PDT), it supports the ÖGD in navigating the growing field of digital solutions and systematically ensuring their quality.

Review Process.

The Polyteia Software Suite was evaluated as part of the review process of the Project Office for Digital Tools (PDT) and recommended as a software solution suitable for the Public Health Service (ÖGD). In this structured procedure, a professional and technical advisory board assesses digital solutions based on criteria such as interoperability, ease of use, data protection, IT security, and professional relevance. Following the positive evaluation, the Polyteia Software Suite has been listed in the PDT’s public register of recommended tools.

The tools recommended by the PDT for the ÖGD can be found via the following link.

References

    • In the public health service, the Polyteia Software Suite is already in use in Saarland, the district of Friesland, and the district of Verden. The platform automatically integrates and validates data from various specialized systems and other sources, making it available for ongoing analysis, internal management, and reporting. This provides the health departments with a consistent data basis and significantly reduces manual effort. The recommendation by the PDT confirms this use and makes it easier for other health departments to access a proven and GDPR-compliant solution.

      Read our case study: How Saarland is standardizing reporting in the public health services.

    Kernfunktionalitäten der Datenlösung.

    01

    Bevölkerungsprognose nach Bezirk und Alter auf Basis der Einwohnermeldedaten.

    02

    Aufbereitung der Flüchtlingsbewegung nach Geschlecht und Alter.

    03

    Kitabedarfsprognose auf Basis der demografischen Entwicklung.

    04

    Visualisierung des Zu- und Fortzugs der Bevölkerung, inklusive Ziel- /Herkunftsort.

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