The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The future vision of simulation in health care
Open accessAbstract
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 health care can be categorised by 11 dimensions: aims and purposes of the simulation activity; unit of participation; experience level of participants; health care domain; professional discipline of participants; type of knowledge, skill, attitudes, or behaviours 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 health care. 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, health care payers, and ultimately the public. The future of simulation in health care depends on the commitment and ingenuity of the health care simulation community to see that improved patient safety using this tool becomes a reality.
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The assessment of clinical skills/competence/performance
Miller, G. E. (1990) · Academic Medicine · doi:10.1097/00001888-199009000-00045 · Cited by 4,883
Fletcher, G., Flin, R., McGeorge, P., Glavin, R., Maran, N., & Patey, R. (2003) · British Journal of Anaesthesia · doi:10.1093/bja/aeg112 · Cited by 958
Cited by
The history of simulation in medical education and possible future directions
Bradley, P. (2006) · Medical Education · doi:10.1111/j.1365-2929.2006.02394.x · Cited by 1,046
Healthcare Simulation Standards of Best PracticeTM Simulation Design
Watts, P. I., McDermott, D. S., Alinier, G., Charnetski, M., Ludlow, J., Horsley, E., Meakim, C., & Nawathe, P. A. (2021) · Clinical Simulation in Nursing · doi:10.1016/j.ecns.2021.08.009 · Cited by 731
Virtual reality training for surgical trainees in laparoscopic surgery
Nagendran, M., Gurusamy, K. S., Aggarwal, R., Loizidou, M., & Davidson, B. R. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006575.pub3 · Cited by 593
Systematic review of skills transfer after surgical simulation-based training
Dawe, S. R., Pena, G. N., Windsor, J. A., Broeders, J. A. J. L., Cregan, P. C., Hewett, P. J., & Maddern, G. J. (2014) · British journal of surgery · doi:10.1002/bjs.9482 · Cited by 485
Simulation in Clinical Nursing Education
Koukourikos, K., Tsaloglidou, A., Kourkouta, L., Papathanasiou, I., Iliadis, C., Fratzana, A., & Panagiotou, A. (2021) · Acta Informatica Medica · doi:10.5455/aim.2021.29.15-20 · Cited by 466
Metadata
- Authors
- Gaba, D. M.
- Venue
- Quality and Safety in Health Care
- Publisher
- BMJ
- Published
- 2004-10-01
- Volume
- 13
- Issue
- suppl_1
- Pages
- i2-i10
- ISSN
- 1475-3898 (ISSN-L)
- 1475-3901
- OpenAlex
- W2126309695
- Cited by
- 1,934
- References
- 2
- FWCI
- 15.20
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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