Visual analytics for evaluating clinical pathways

Autor:	Humberto S. Garcia Caballero, Alberto Corvo, Prabhakar M. Dixit, Michel A. Westenberg
Přispěvatelé:	Algorithms, Geometry and Applications, Visualization
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	Visual analytics Event (computing) Computer science business.industry Process mining Data science Conformance checking Data visualization Process Mining Sepsis Visual Analytics Health care Information system Use case Conformance-checking business Event-logs
Zdroj:	2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017, 39-46 STARTPAGE=39;ENDPAGE=46;TITLE=2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017 VAHC
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b3e444e010821f4cb5268d4b4178fa1 https://doi.org/10.1109/vahc.2017.8387499 Zobrazit plný text záznamu