gms | German Medical Science

63. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

02. - 06.09.2018, Osnabrück

Decision support use cases for the treatment of patients with chronic wounds

Meeting Abstract

  • Stefan Vogel - Universitätsmedizin Göttingen, Institut für Medizinische Informatik, Göttingen, Deutschland
  • Mareike Przysucha - Hochschule Osnabrück - University of Applied Sciences, Osnabrück, Deutschland
  • Stefanie Wache - Universitätsmedizin Göttingen, Institut für Medizinische Informatik, Göttingen, Deutschland
  • Jens Hüsers - Hochschule Osnabrück - University of Applied Sciences, Osnabrück, Deutschland
  • Ursula Hübner - Hochschule Osnabrück - University of Applied Sciences, Osnabrück, Deutschland
  • Björn Sellemann - Fachhochschule Münster, Münster, Deutschland

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 63. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Osnabrück, 02.-06.09.2018. Düsseldorf: German Medical Science GMS Publishing House; 2018. DocAbstr. 60

doi: 10.3205/18gmds025, urn:nbn:de:0183-18gmds0256

Veröffentlicht: 27. August 2018

© 2018 Vogel et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Introduction: The diagnosis and therapy of chronic wounds are multiprofessional, multistep, and exceedingly complex issues [1]. Establishing the correct diagnosis is a crucial step in avoiding mistakes in the wound treatment [2]. In the BMBF project Posithera it is the primary challenge, to combine requirements of information continuity and decision support in one system. The development and successful implementation of a hands-on decision support system with real benefit for the users is highly depending on well-defined use cases.

Methods: The research of the study identified key characteristics of use cases for the deployment of decision support functions in the medical supply chain of chronic wound treatment. To achieve that, several workshops at varying locations in Lower Saxony were conducted from June to August 2017 by the University Medical Center Göttingen Department of Medical Informatics and the University of Applied Sciences Osnabrück with nationally wound experts. Based on the workshop results, use cases for the implementation of decision support functions in the treatment of chronic wounds were formulated. The use cases were discussed by the project consortium and examined for their feasibility. For this purpose, the criteria: access to medical evidence and contact to medical experts, but also technically- and temporal feasibility, were taken into account.

Results: The decision support use cases of „diagnostic process“ and „monitoring of the wound“ were chosen to be implemented in the second project year. In addition two use cases were formulated and chosen to collect data about the patient and the wound in a structured manner to build up a fact base, which is the prerequisite for the decision support functions.

The fact base consists of data clusters in the context of chronic wound treatment, which are in detail: master data, general status and medical history, wound anamnesis, wound status, diagnostic, therapy, patient reported end points, nutrition, and education [3], [4].

The goal in the „diagnostic process“ is to formulate a suspected diagnosis by the physician and to confirm it through diagnostic methods. To assist the physician in this process, the decision support system needs interdisciplinary knowledge about the different pathogenesis of the chronic wounds, which needs to be formalized grounded on evidence-based medical knowlegde like S3 guidelines. The use case „monitoring of the wound“ supports the physician, wound manager or nurse to estimate the tendency of the wound healing process. Parameters, like the wound size, can be analyzed in dependency of the factor time over weeks, month, and years. So a course can be calculated, that indicates, in reference of the mentioned example, the wound size getting smaller or not. This can be a good indicator for a healing or non-healing wound. The required knowledge needs to be formalized based on current consensus of wound experts.

Discussion: Taking the Medical Devices Act into account, a future hands-on solution, based on the use cases of our project PosiThera will become a medical device. The results of our study are crucial steps towards the classification of such a medical device.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.


References

1.
Stoffels-Weindorf M, von der Stück H, Klode J, Dissemond J. Treatment pathways for patients with chronic wounds in germany. Phlebologie. 2013;4:183-8.
2.
Frykberg RG, Banks J. Challenges in the Treatment of Chronic Wounds, WHS - Wound Healing Society. Advances in Wound Care Volume. 2015;9:560-82.
3.
Heyer K, Herberger K, Protz K, Mayer A, Dissemond J, Debus S, Augustin M, Konsensusgruppe. German national consensus on wound documentation of leg ulcer – Part 1: Routine care – standard dataset and minimum dataset. Der Hautarzt. 2017;68:740-5.
4.
Hübner U, Schulte G, Flemming D. The electronic wound summary – the basis for inter-professional communication across care settings. WundManagement. 2016;10(4):196-200.