Education is notoriously a challenging task in the healthcare context, where several new methodologies are being introduced to complement "traditional" learning. In particular, the importance of approaches based on (i) simulation and on (ii) clinical practice guidelines is continuously growing. While until now such approaches have been developed separately, in this paper we propose the first approach to education in medicine exploiting both techniques (i) and (ii). Indeed, clinical practice guidelines encode the best medical practices, and, in conjunction with simulation techniques, are suitable to teach "how to operate" on patients, but without the need of "physically" havingacting on real patients. In this paper, we propose such a new methodology, based on GLARE-Edu, an educational extension of GLARE (Guideline Acquisition, Representation and Execution), a domain-independent system for the management of GLs. GLARE-Edu can be used to "simulate" the direct application of GL "best practices" to a (simulated) patient or to provide a "second opinion" simulation: a student must indicate how she would treat a (real or invented) patient, and the system is used to indicate to the student where she has followed the recommendations of the GL, and where she has violated them.
Simulating Clinical Guidelines for Medical Education
Bottrighi, Alessio;Piovesan, Luca;Terenziani, Paolo
2019-01-01
Abstract
Education is notoriously a challenging task in the healthcare context, where several new methodologies are being introduced to complement "traditional" learning. In particular, the importance of approaches based on (i) simulation and on (ii) clinical practice guidelines is continuously growing. While until now such approaches have been developed separately, in this paper we propose the first approach to education in medicine exploiting both techniques (i) and (ii). Indeed, clinical practice guidelines encode the best medical practices, and, in conjunction with simulation techniques, are suitable to teach "how to operate" on patients, but without the need of "physically" havingacting on real patients. In this paper, we propose such a new methodology, based on GLARE-Edu, an educational extension of GLARE (Guideline Acquisition, Representation and Execution), a domain-independent system for the management of GLs. GLARE-Edu can be used to "simulate" the direct application of GL "best practices" to a (simulated) patient or to provide a "second opinion" simulation: a student must indicate how she would treat a (real or invented) patient, and the system is used to indicate to the student where she has followed the recommendations of the GL, and where she has violated them.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.