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. 2014 Jan 23;16(1):e23. doi: 10.2196/jmir.2593

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
HHS Vulnerability Disclosure