Introduction: The literature shows an optimistic landscape for the effectiveness of games in medical education. Nevertheless, games are not considered mainstream material in medical teaching. Two research questions that arise are the following: What pedagogical strategies do developers use when creating games for medical education? And what is the quality of the evidence on the effectiveness of games? Methods: A systematic review was made by a multi-disciplinary team of researchers following the Cochrane Collaboration Guidelines. We included peer-reviewed journal articles which described or assessed the use of serious games or gamified apps in medical education. We used the Medical Education Research Study Quality Instrument (MERSQI) to assess the quality of evidence in the use of games. We also evaluated the pedagogical perspectives of such articles. Results: Even though game developers claim that games are useful pedagogical tools, the evidence on their effectiveness is moderate, as assessed by the MERSQI score. Behaviourism and cognitivism continue to be the predominant pedagogical strategies, and games are complementary devices that do not replace traditional medical teaching tools. Medical educators prefer simulations and quizzes focused on knowledge retention and skill development through repetition and do not demand the use of sophisticated games in their classrooms. Moreover, public access to medical games is limited. Discussion: Our aim was to put the pedagogical strategy into dialogue with the evidence on the effectiveness of the use of medical games. This makes sense since the practical use of games depends on the quality of the evidence about their effectiveness. Moreover, recognition of said pedagogical strategy would allow game developers to design more robust games which would greatly contribute to the learning process.

In health care information systems, electronic health records are an important part of the knowledge concerning individual health histories. Extracting valuable knowledge from these records represents a challenging task because they are composed of data of different kind: images, test results, narrative texts that include both highly codified and a variety of notes which are diverse in language and detail, as well as ad hoc terminology, including acronyms and jargon, far from being highly codified. This paper proposes a combined approach for the recognition of named entities in such narrative texts. This approach is a composition of three different methods. The possible combinations are evaluated and the resulting composition shows an improvement of the recall and a limited impact on precision for the named entity recognition process

Although social capital has been researched from many approaches and attempts have been made to measure it online, the literature lacks an operational description that would allow its measurement criteria to be established from a social network perspective. Therefore, the purpose of this paper is to identify in the literature what metrics researchers use to measure social capital on social networking sites from a social network perspective. Thus, this contribution offers a theoretical description of the key elements for measuring social capital in social networking sites, which may be useful in subsequent studies.

Purpose: The purpose of this paper is to present the development of a multi‐agent system (MAS) used to simulate a crisis response organization.Design/methodology/approach: Following an agent‐based approach, the model is developed using the GAIA methodology and implemented in the Java Agent Development framework.Findings: The GAIA methodology can be combined with an additional GAIA2JADE process to bridge the gap between design and implementation. Keeping the MAS organization separate from the crisis scenario model enables testing different configurations of the crisis response organization in different scenarios.Research limitations/implications: The simulation model is provided as proof of concept along with preliminary experiments. Additional detailed experiments and validation are ongoing.Practical implications: The model can be configured differently to deal with an emergency scenario developed separately, providing a test bed for simulating coordination in crisis response. Such simulation forms the basis for exploring different coordination mechanisms and can also be adapted and extended for training and decision support.Originality/value: The characteristics of the response organization and the study of structured vs emergent coordination fit with the capabilities and nature of a MAS. The structure and process are useful for modelling similar ad hoc, multidisciplinary organizations.