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Clinical Pathway Analytics

Authors: Filip Caron; Jan Vanthienen; Bart Baesens;

Clinical Pathway Analytics

Abstract

Recently, medical informatics researchers have focused on supporting standardized activity coordination patterns that structure complex multi-disciplinary interventions. While the designed clinical pathways are aimed to improve the provided healthcare, this paper demonstrates that the care process of individual patients can significantly deviate from the standardized path. Examining the deviations in the individual care processes might result in the further enhancement of the provided quality of care, the evaluation of adverse events or the identification of suboptimal use of resources. This paper presents an optimal combination of process analytics for extracting valuable medical and organizational information from real-world care processes. The authors elaborate an extensive case study based on these process analytics on a series of oncological care processes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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