Towards a framework for untangling complexity: The interprofessional decision-making model for the complex patient

Hadas Weinberger, Jonathan Cohen, Boaz Tadmor, Pierre Singer

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Decision making for the complex patient is challenging for doctors because of increased complexity, such as multiple co-morbidities and interprofessionality for which evidence-based literature and guidelines are currently lacking. The consequent uncertainty causes vagueness, threatening patient safety and the quality of care. This article is motivated by the design science paradigm and describes the interprofessional decision-making model for the complex patient, namely, INDECO along with an example instantiation. Drawing on our experience in an intensive care unit of a tertiary hospital in Israel, the bi-dimensional view of this model includes the medical- and the interprofessional perspective. Retrospective assessment of 3 case studies of complex patients is used for assessing the usefulness of INDECO in decision making. The study reported here draws support from relevant literature, including the information science, information systems, and the medical domains. The findings resonate with emerging research developments focusing on healthcare decision making.

Original languageEnglish
Pages (from-to)392-407
Number of pages16
JournalJournal of the Association for Information Science and Technology
Volume66
Issue number2
DOIs
StatePublished - 1 Feb 2015
Externally publishedYes

Keywords

  • complexity
  • knowledge engineering
  • knowledge modeling

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