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Knowledge-based system to enhance coordination of hospital practitioners: a case study

Abstract : The work reported in this paper aims to design a knowledge-based system in order to improve the first contact between an expectant mother and the hospital practitioners in charge of pregnancy following-up (midwives, gynecologists). Our work focuses on the appointment making process which is most of the time carried out by auxiliary nurses of the gynecology and obstretric department. Generally, these auxiliary nurses have only a few minutes to collect information from expectant mothers, to identify the risk level of the pregnancy, and to make an appointment with the relevant and available practitioner. Two main difficulties have been identified in this process: the call pickup rate and errors in making appointment. These two difficulties have become for us two principal areas for improving the service quality given to patients. We have extracted and formalized some knowledge as a constraint satisfaction problem. This knowledge-based system is currently tested in the gynecoloy and obstrectric department of a French hospital.
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Submitted on : Wednesday, October 25, 2017 - 12:14:02 PM
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Delphine Guillon, Élise Vareilles, Guillaume Marquès, Paul Gaborit, Matthieu Lauras. Knowledge-based system to enhance coordination of hospital practitioners: a case study. I-ESA 16 - 8th International conference Interoperability for Enterprise Systems and Applications, Mar 2016, Guimarães, Portugal. p. 275-281, ⟨10.1007/978-3-319-30957-6_22⟩. ⟨hal-01623449⟩



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