Virtual Patient

The term virtual patient is used to describe interactive computer simulations used in health care education. The special focus is targeted on the simulation of clinical processes with virtual patients. Virtual patients combine scientific excellence, modern technologies and the innovative concept of game-based learning. Virtual patients allow the learner to take the role of a health care professional and develop clinical skills such as making diagnoses and therapeutic decisions. Virtual patients have also been considered computer-based simulations designed to complement clinical training. The use of virtual patient programmes is increasing in healthcare, partly in response to increasing demands on health care professionals and education of students but also because they allow opportunity for students to practice in a safe environment There are many different formats a virtual patient may take. However the overarching principle is that of interactivity - a virtual patient will have mechanisms for the learner to interact with the case and material or information is made available to the learner as they complete a range of learning activities. The interactivity is non-sequential.

Virtual patients may take a number of different forms:

A number of different modes of virtual patient delivery have been defined:

Simulated patients increase the availability of training opportunities for medical students, making them less dependent on actual cases to learn how to handle different situations. Unlike real patients, simulated patients can be accessed on demand and they can be endlessly replayable to allow the user to explore different options and strategies. They can be structured with narratives that represent real situations while challenging the user with a wide range of tasks. They also allow simulation of rare or unusual events, and reduce risk to actual patients in the process.

Despite their efficacy simulated patients are still a tangent and a prosthesis to reality. They should be viewed as augmenting existing modes and methods of clinical teaching.

Artificial patients increase the possibility of exploring millions of hypothesis driven experiments on known areas of biological systems to extrapolate the unknown, which enables efficient exploration, informed research and development predictive simulation, which must also be proven by real patient studies clinical trials. If more tests can be done on Artificial patients to filter out possibly unnecessary tests or experiments, fewer subjects pharmacovigilance maybe needed. The Artificial patients insilico modeling are still in the early to middle developmental stages. It will require continual updates and development with the endless availability of new data.

...
Wikipedia