Table 2.
Features relevant for integrating computational models with virtual patients.
Stakeholder group | Identified features relevant for integrating computational models with virtual patients | Previous study |
Computational modeling researchers | Availability of high-quality documentation (including a clear description of modeled parameters: their permitted input ranges, simulation steps, and post-processing steps) | [16,38,39] |
Validity of simulation results generated (compatibility with experimental data or expected observations) | ||
Availability of model in machine-readable (preferably popular) format | ||
Availability (and preferably mobility) of the simulation software for the model | ||
Information on the magnitude of computational time required for simulation | ||
Information on mobility and required storage space demands for input and output data, model, solver | ||
Clearance of copyright issues (information about the authors of the model and terms of use and distribution) | ||
Description of confidentiality constraints | ||
Health care education (educators and students) | Suitable learning objectives | [34,37,40] |
Relevance for study | ||
Suitable target group | ||
Appropriate level of difficulty | ||
High interactivity | ||
Availability of specific feedback | ||
Optimal use of media | ||
Focus of attention on relevant learning points | ||
Recapitulation of key learning points | ||
Authentic Web-based interface | ||
Content tailored to the clinical reasoning process | ||
Realistic narration to include the simulation in the case | ||
Support for individualized approach to learning | ||
Support for collaborative learning | ||
Virtual patient system developers | Simulation elements supported by the virtual patient system | [9,11,41] |
Simulation elements supported by the MVP standard |