Dec 7th-9th, 2018, UFO, Bochum, Germany

Challenge C

Patient management process

Proposed by


  • Logistics support. From initial triage the resulting assessment/diagnoses can use data from a real-time logistic support which through care guidelines and big data modelling can with high probability predict internal patient journey, with treatments and diagnostical events, but also estimated discharge time for the individual patient. This improves planning and patient flow and better understanding of input+output through caregiver system.

    E.g. Since accumulated data can present better understanding of input/output through caregiver system, better use of proper allocation of resources can be suggested accordingly.

    E.g. An extension to the described example could also integrate, add collaborative interfaces, between different of levels of health care providers, such as between specialist care, primary care, and home care.

  • Diagnosis/decision support. With the use of e.g. AI/big data and/or national care guidelines, from triage most symptoms can be detected, and appropriate diagnosis measures suggested. This may result in improved standardization of assessments and generally improved efficiency.

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