Visual analytics for evaluating clinical pathways

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Digital platforms in healthcare institutions enable tracking and recording of patient care pathways. Besides the Electronic Health Records (EHRs), the event logs from Hospital Information Systems (HIS) are a very efficient source of information, from both operational and clinical point of view. Process mining allows comparison of a patient care pathway with the event log(s) from HIS, to understand how well the reality as depicted in the event log fits the expectation as modeled using a care pathway. In this paper, we present SepVis, a visual analytics tool which aims to fill the gap in current process-centric applications by looking at patients' pathways from a clinical point of view. We demonstrate the utility of SepVis in selected use cases derived by the guidelines in the management of sepsis patients.

Originele taal-2Engels
Titel2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's39-46
Aantal pagina's8
ISBN van elektronische versie9781538631874
DOI's
StatusGepubliceerd - 1 okt 2017
Evenement8th Annual IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017 - Phoenix, Verenigde Staten van Amerika
Duur: 1 okt 2017 → …

Congres

Congres8th Annual IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017
LandVerenigde Staten van Amerika
StadPhoenix
Periode1/10/17 → …

Vingerafdruk

Hospital Information Systems
Critical Pathways
Patient Care
Information systems
Electronic Health Records
Sepsis
Health
Guidelines
Delivery of Health Care
Pathway
Hospital information systems
Patient care

Citeer dit

Caballero, H. S. G., Corvò, A., Dixit, P. M., & Westenberg, M. A. (2017). Visual analytics for evaluating clinical pathways. In 2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017 (blz. 39-46). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VAHC.2017.8387499
Caballero, Humberto S. Garcia ; Corvò, Alberto ; Dixit, Prabhakar M. ; Westenberg, Michel A. / Visual analytics for evaluating clinical pathways. 2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017. Piscataway : Institute of Electrical and Electronics Engineers, 2017. blz. 39-46
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Caballero, HSG, Corvò, A, Dixit, PM & Westenberg, MA 2017, Visual analytics for evaluating clinical pathways. in 2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017. Institute of Electrical and Electronics Engineers, Piscataway, blz. 39-46, 8th Annual IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017, Phoenix, Verenigde Staten van Amerika, 1/10/17. https://doi.org/10.1109/VAHC.2017.8387499

Visual analytics for evaluating clinical pathways. / Caballero, Humberto S. Garcia; Corvò, Alberto; Dixit, Prabhakar M.; Westenberg, Michel A.

2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017. Piscataway : Institute of Electrical and Electronics Engineers, 2017. blz. 39-46.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Caballero HSG, Corvò A, Dixit PM, Westenberg MA. Visual analytics for evaluating clinical pathways. In 2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017. Piscataway: Institute of Electrical and Electronics Engineers. 2017. blz. 39-46 https://doi.org/10.1109/VAHC.2017.8387499