The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
The Future Vision of Simulation in Healthcare
Abstract
Simulation is a technique-not a technology-to replace or amplify real experiences with guided experiences that evoke or replicate substantial aspects of the real world in a fully interactive manner. The diverse applications of simulation in healthcare can be categorized by 11 dimensions: aims and purposes of the simulation activity; unit of participation; experience level of participants; healthcare domain; professional discipline of participants; type of knowledge, skill, attitudes, or behaviors addressed; the simulated patient's age; technology applicable or required; site of simulation; extent of direct participation; and method of feedback used. Using simulation to improve safety will require full integration of its applications into the routine structures and practices of healthcare. The costs and benefits of simulation are difficult to determine, especially for the most challenging applications, where long-term use may be required. Various driving forces and implementation mechanisms can be expected to propel simulation forward, including professional societies, liability insurers, healthcare payers, and ultimately the public. The future of simulation in healthcare depends on the commitment and ingenuity of the healthcare simulation community to see that improved patient safety using this tool becomes a reality.
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Cites
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Cook, D. A., Hatala, R., Brydges, R., Zendejas, B., Szostek, J. H., Wang, A. T., Erwin, P. J., & Hamstra, S. J. (2011) · JAMA · doi:10.1001/jama.2011.1234 · Cited by 2,170
Systematic review of serious games for medical education and surgical skills training
Graafland, M., Schraagen, J. M., & Schijven, M. P. (2012) · British Journal of Surgery · doi:10.1002/bjs.8819 · Cited by 676
Patient Outcomes in Simulation-Based Medical Education: A Systematic Review
Zendejas, B., Brydges, R., Wang, A. T., & Cook, D. A. (2013) · Journal of General Internal Medicine · doi:10.1007/s11606-012-2264-5 · Cited by 384
State of the Evidence on Simulation-Based Training for Laparoscopic Surgery: A Systematic Review
Zendejas, B., Brydges, R., Hamstra, S. J., & Cook, D. A. (2013) · Annals of Surgery · doi:10.1097/sla.0b013e318288c40b · Cited by 388
Bracq, M.-S., Michinov, E., & Jannin, P. (2019) · Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare · doi:10.1097/sih.0000000000000347 · Cited by 332
Metadata
- Authors
- Gaba, D. M.
- Venue
- Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare
- Published
- 2007
- Volume
- 2
- Issue
- 2
- Pages
- 126-135
- ISSN
- 1559-2332 (ISSN-L)
- OpenAlex
- W2084177713
- Cited by
- 465
- References
- 39
- FWCI
- 4.35
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
