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Andrzejewski D, Breitschwerdt R, Fellmann M, et al. Supporting breast cancer decisions using formalized guidelines and experts decision patterns: initial prototype and evaluation. Health Inf Sci Syst. 2017;5(1):12doi: 10.1007/s13755-017-0035-8.
Andrzejewski, D., Breitschwerdt, R., Fellmann, M., & Beck, E. (2017). Supporting breast cancer decisions using formalized guidelines and experts decision patterns: initial prototype and evaluation. Health information science and systems, 5(1), 12. https://doi.org/10.1007/s13755-017-0035-8
Andrzejewski, Dennis, et al. "Supporting breast cancer decisions using formalized guidelines and experts decision patterns: initial prototype and evaluation." Health information science and systems vol. 5,1 (2017): 12. doi: https://doi.org/10.1007/s13755-017-0035-8
Andrzejewski D, Breitschwerdt R, Fellmann M, Beck E. Supporting breast cancer decisions using formalized guidelines and experts decision patterns: initial prototype and evaluation. Health Inf Sci Syst. 2017 Oct 30;5(1):12. doi: 10.1007/s13755-017-0035-8. eCollection 2017 Dec. PMID: 29142742; PMCID: PMC5662532.
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Health Inf Sci Syst. 2017 Oct 30;5(1):12. doi: 10.1007/s13755-017-0035-8. eCollection 2017 Dec.

Supporting breast cancer decisions using formalized guidelines and experts decision patterns: initial prototype and evaluation.

Health information science and systems

Dennis Andrzejewski, Rüdiger Breitschwerdt, Michael Fellmann, Eberhard Beck

Affiliations

  1. Faculty of Computer Science, University of Rostock, Albert-Einstein-Straße 22, 18059 Rostock, Germany.
  2. Institute for eHealth and Management in Healthcare, Flensburg University of Applied Sciences, Kanzleistraße 91 - 93, 24943 Flensburg, Germany.
  3. Department of Computer Science and Media, Brandenburg University of Applied Sciences, Magdeburger Straße 50, 14770 Brandenburg, Germany.

PMID: 29142742 PMCID: PMC5662532 DOI: 10.1007/s13755-017-0035-8

Abstract

Transparent decisions and its documentation of breast cancer patients' therapy are getting more important especially since modern therapeutic approaches favor personalized forms of treatment. The medical decisions for a treatment are very complex, because there are rules and different options for each patient. To support the decision process, we analyzed the current decision rules and implemented them in a prototype of a rule-based expert system. Thus, this system shall support the quality assurance regarding transparent documentation of individualized therapeutic decisions. For evaluating the system, we used data from a state tumor center and compared the decisions suggested by our system with expert ones. The system and the expert approach will be compared with each other as well as the differences in the treatment decisions. The first preliminary results show us that the human factor-like must be considered by creating a decision support system. The prototype delivers first results, which are restricted, but the results are promising for further developments.

Keywords: Breast cancer treatment; Decision support; Tumor board

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