Abstract
The exponential increase in the complexity of ventilator technology has created a growing knowledge gap that hinders education, research, and ultimately the quality of patient care. This gap is best addressed with a standardized approach to educating clinicians, just as education for basic and advanced life support classes is standardized. We have developed such a program, called Standardized Education for Ventilatory Assistance (SEVA), based on a formal taxonomy for modes of mechanical ventilation. The SEVA program is a progressive system of 6 sequential courses starting from an assumption of no prior knowledge and proceeding to full mastery of advanced techniques. The vision of the program is to provide a unique platform for standardizing training by unifying the concepts of physics, physiology, and technology of mechanical ventilation. The mission is to use both online and in-person simulation-based instruction that has both self-directed and instructor-led components to elevate the skills of health care providers to the mastery level. The first 3 levels of SEVA are free and open to the public. We are developing mechanisms to offer the other levels. Spinoffs of the SEVA program include a free smartphone app that classifies virtually all modes on all ventilators used in the United States (Ventilator Mode Map), a free biweekly online training sessions focusing on waveform interpretation (SEVA-VentRounds), and modifications to the electronic health care record system for entering and charting ventilator orders.
- mechanical ventilation
- modes of ventilation
- taxonomy
- goals of ventilation
- education
- adaptive learning
Footnotes
- Correspondence: Robert L Chatburn MHHS RRT RRT-NPS FAARC. E-mail: chatbur{at}CCF.org
Mr Chatburn discloses relationships with IngMar, Vyaire, Timpel, Inovytec, Aires, Ventis, Promedic, and AutoMedx.
Mr Chatburn presented a version of this paper as the Robert M Kacmarek Scientific Memorial Lecture at AARC Congress 2022, held November 9–12, 2022, in New Orleans, Louisiana.
Supplementary material related to this paper is available at http://www.rcjournal.com.
- Copyright © 2023 by Daedalus Enterprises
Pay Per Article - You may access this article (from the computer you are currently using) for 1 day for US$30.00
Regain Access - You can regain access to a recent Pay per Article purchase if your access period has not yet expired.