The geriatric information flow model

An abstract information flow model for geriatric patient treatment
  • Lars Rölker-Denker
  • Andreas Hein
Original Paper


An abstract information flow model is proposed for geriatric care, the geriatric information flow model (GIFM) by adopting an information model from cancer care and introduce characteristics for geriatric care (patient population, multidisciplinary and multi-professional approach, cross-sectoral approach). The ideal-typical geriatric patient treatment process flow is introduced. Actors (patients, physicians, therapists, organizations), information objects, and information relations as well as information flows are defined. Process flow, actors, information object, and information relations are proved with qualitative material from an accompanying study. The GIFM is validated by mapping four typical knowledge processes (multi-professional geriatric team session, interdisciplinary clinical case conferences, tumor boards, transition management) onto the model. The GIFM is stated as useful for understanding information flows and relations in geriatric care. All processes for validation can be mapped onto GIFM. In future work the GIFM should be tested with more knowledge process and could also be used for identifying gaps in the IT support of geriatric care. A study on high and low information quality in geriatric care is also proposed.


Information flow model Geriatric care Knowledge processes Organizational learning 



The authors would like to thank the Metropolregion Bremen-Oldenburg (reference number: 23-03-13) for partly supporting this work.


Metropolregion Bremen-Oldenburg partly supported the work (reference number: 23–03-13).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.


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Copyright information

© IUPESM and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Health Services ResearchUniversity of OldenburgOldenburgGermany

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