TY - JOUR
T1 - Towards a framework for untangling complexity
T2 - The interprofessional decision-making model for the complex patient
AU - Weinberger, Hadas
AU - Cohen, Jonathan
AU - Tadmor, Boaz
AU - Singer, Pierre
N1 - Publisher Copyright:
© 2014 ASIS&T.
PY - 2015/2/1
Y1 - 2015/2/1
N2 - 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.
AB - 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.
KW - complexity
KW - knowledge engineering
KW - knowledge modeling
UR - http://www.scopus.com/inward/record.url?scp=84938695686&partnerID=8YFLogxK
U2 - 10.1002/asi.23176
DO - 10.1002/asi.23176
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AN - SCOPUS:84938695686
SN - 2330-1635
VL - 66
SP - 392
EP - 407
JO - Journal of the Association for Information Science and Technology
JF - Journal of the Association for Information Science and Technology
IS - 2
ER -