Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

Background. Massive Open Online Courses (MOOCs) are an emerging trend in online learning. However, their technology is not yet completely adjusted to the needs of healthcare education. Integration of Virtual Patients within MOOCs to increase interactivity and foster clinical reasoning skills training, has been discussed in the past, but not verified by a practical implementation. Objective. To investigate the technical feasibility of integrating MOOCs with Virtual Patients for the purpose of enabling further research into the potential pedagogical benefits of this approach. Methods. We selected OpenEdx and Open Labyrinth as representative constituents of a MOOC platform and Virtual Patient system integration. Based upon our prior experience we selected the most fundamental technical requirement to address. Grounded in the available literature we identified an e-learning standard to guide the integration. We attempted to demonstrate the feasibility of the integration by designing a "proof-of-concept" prototype. The resulting pilot implementation was subject of verification by two test cases. Results. A Single Sign-On mechanism connecting Open Labyrinth with OpenEdx and based on the IMS LTI standard was successfully implemented and verified. Conclusion. We investigated the technical perspective of integrating Virtual Patients with MOOCs. By addressing this crucial technical requirement we set a base for future research on the educational benefits of using virtual patients in MOOCs. This provides new opportunities for integrating specialized software in healthcare education at massive scale.

Chatbots may have the potential to support healthcare education by enabling personalized learning. Trust is a pre-requisite for the users to accept the chatbots. In this study we analyzed students' assignments of the MSc course "User Needs, Requirements Engineering and Evaluation" at Karolinska Institutet, aiming to explore the chatbots' potential in healthcare education and the design characteristics of chatbots that may enhance the trust. The students identified two courses: pharmacology and medical law, that have the potential to leverage chatbots' characteristics. Our analyses on the design characteristics they suggested resulted in: recognition; visibility of system status; anthropomorphism in communication; knowledge expertise, linguistic consistency; realistic interaction. Our results are in line with previous research. Future studies could investigate the educational impact on the learning outcomes and students' satisfaction when interacting with chatbots.

Massive open online courses (MOOCs) have been criticized for focusing on presentation of short video clip lectures and asking theoretical multiple-choice questions. A potential way of vitalizing these educational activities in the health sciences is to introduce virtual patients. Experiences from such extensions in MOOCs have not previously been reported in the literature. This study analyzes technical challenges and solutions for offering virtual patients in health-related MOOCs and describes patterns of virtual patient use in one such course. Our aims are to reduce the technical uncertainty related to these extensions, point to aspects that could be optimized for a better learner experience, and raise prospective research questions by describing indicators of virtual patient use on a massive scale. The Behavioral Medicine MOOC was offered by Karolinska Institutet, a medical university, on the EdX platform in the autumn of 2014. Course content was enhanced by two virtual patient scenarios presented in the OpenLabyrinth system and hosted on the VPH-Share cloud infrastructure. We analyzed web server and session logs and a participant satisfaction survey. Navigation pathways were summarized using a visual analytics tool developed for the purpose of this study. The number of course enrollments reached 19,236. At the official closing date, 2317 participants (12.1% of total enrollment) had declared completing the first virtual patient assignment and 1640 (8.5%) participants confirmed completion of the second virtual patient assignment. Peak activity involved 359 user sessions per day. The OpenLabyrinth system, deployed on four virtual servers, coped well with the workload. Participant survey respondents (n=479) regarded the activity as a helpful exercise in the course (83.1%). Technical challenges reported involved poor or restricted access to videos in certain areas of the world and occasional problems with lost sessions. The visual analyses of user pathways display the parts of virtual patient scenarios that elicited less interest and may have been perceived as nonchallenging options. Analyzing the user navigation pathways allowed us to detect indications of both surface and deep approaches to the content material among the MOOC participants. This study reported on first inclusion of virtual patients in a MOOC. It adds to the body of knowledge by demonstrating how a biomedical cloud provider service can ensure technical capacity and flexible design of a virtual patient platform on a massive scale. The study also presents a new way of analyzing the use of branched virtual patients by visualization of user navigation pathways. Suggestions are offered on improvements to the design of virtual patients in MOOCs.

Surgical training in civilian hospitals may not be sufficient for managing complex trauma in a setting where such care is not commonly practiced. Understanding the challenges that civilian teams face when moving to austere environments can inform the competencies that need to be trained. The aim of this study was to explore the competencies required in austere environments for teams managing complex trauma, and how they can be trained with simulation technologies. Ethnographic field observations were conducted, and field notes were synthesized. The field notes were structured with the elements of Activity Theory to generate the teams’ competencies that need to be trained. A literature review was conducted to verify the results and identify examples of relevant simulation modalities. The analysis resulted in a structured list of competencies for civilian teams to manage complex trauma in an austere environment and recommendations which simulation technologies could be used in training of those competencies based on published studies. Our study contributes to understanding the challenges that civilian teams face when operating in an austere environment. A systematized list of competencies with suggested simulation technologies directs future research to improve quality of complex trauma training in civilian and military collaboration.

Background: This study explores gamification in the design of virtual patients (VPs) to enhance the training of Swedish military medics in trauma care. The challenges related to prehospital trauma care faced on the battlefield require tailored educational tools that support military medics’ education and training. Objective: The aim of the study is to investigate how to design VPs with game elements for Swedish military medics to support learning in military trauma care. By understanding the reasoning and perceptions of military medics when interacting with VPs, this study aims to provide insights and recommendations for designing VPs with game elements that are specifically tailored to their needs. Methods: The study involved 14 Swedish military medics of the Home Guard–National Security Forces participating in a tactical combat care course. Participants interacted with 3 different VP cases designed to simulate military trauma scenarios. Data were collected through think-aloud sessions and semistructured interviews. The data were analyzed using interaction analysis, structured by the unawareness, problem identification, explanation, and alternative strategies or solutions (uPEA) framework, and reflexive thematic analysis to explore participants’ reasoning processes and perceptions and identify possible game elements to inform the VP design. Results: Mapping the military medics’ reasoning to the uPEA framework revealed that study participants became more creative after making a mistake followed by feedback and after receiving a prompt to make a new decision. The thematic analysis revealed 6 themes: motivation, “keep on trying”; agency in interaction with VPs; realistic tactical experience; confidence, “I know that the knowledge I have works”; social influence on motivation; and personalized learning. Participants suggested that game elements such as scoring; badges; virtual goods; progress bars; performance tables; content unlocking; hints; challenge; control; imposed choice; narrative; avatars; sensation; randomness; difficulty adapting; competition; leaderboards; social pressure; progression; and renovation can promote engagement, motivation, and support confidence in decision-making. Conclusions: Gamification in the design of VPs represents a promising approach to military medical training, offering a platform for medics to practice medical and tactical decision-making in a risk-free environment. The insights gained by the study may encourage designing VPs with game elements, as well as including possibly wrong decisions, their consequences, and relevant feedback, that may support military medics’ reflections and decision-making.