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Integration of clinical decision support systems in Dutch radiology departments

Berkel, A.R.R. (2019) Integration of clinical decision support systems in Dutch radiology departments.

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Abstract:Clinical decision support systems (CDSS) can aid a clinician in his/her decision making and hold the potential to improve practitioner performance, patient care and cost reductions. However, numerous challenges arise when implementing these systems into clinical practice and implementation is therefore very limited. This research sets out to solve two of the main challenges: integration of the CDSS into the clinician's workflow without disruption and integration into the hospital's infrastructure. Two novel artifacts are presented in the research. First, the research proposes a novel typology for the classification of these systems as a means of focusing the implementation effort. Using this typology, the CDSS in this research is classified as a nonknowledge-based CDSS for treatment evidence analysis in the radiology department. Then, based on interviews and literature, a first of its kind reference architecture for the integration of a nonknowledge-based CDSS for treatment evidence analysis is presented. This architecture is supported by process models and transaction models and provides a detailed design for the integration of these systems into the clinician's workflow and hospital infrastructure.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:44 medicine, 50 technical science in general, 54 computer science, 58 process technology
Programme:Business Information Technology MSc (60025)
Link to this item:http://purl.utwente.nl/essays/77205
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