» Articles » PMID: 30936587

Establishing a Ventilator-Heart Lung Machine Communication Bridge to Mitigate Errors when Weaning from Bypass

Overview
Publisher EDP Sciences
Date 2019 Apr 3
PMID 30936587
Citations 1
Authors
Affiliations
Soon will be listed here.
Abstract

If a perfusionist weans a patient off the heart lung machine (HLM) and the anesthesiologist has not re-started the ventilator, the patient will become hypoxic. The objective of this project was to create a redundant safety system of verbal and electronic communication to prevent failure to ventilate errors after cardiopulmonary bypass. This objective could be realized by building an electronic communication bridge directly between the HLM and ventilator. A software application was created to retrieve and interpret data from the pump and ventilator and trigger a programmed smart alarm. The software is able to interpret data from the pump and ventilator. When both are off simultaneously (defined as a pump flow of 0 L/min with a respiratory rate of 0 breaths/min), the application will raies an alarm. Communication between a pump and ventilator is possible, enabling the deployment of a safety system that could exist in the operating room (OR) as a standalone alarm. A device dataset can be used to optimize clinical performance of the alarm. The application could also be integrated into smart checklists and computer-assisted OR process models that are currently in development.

Citing Articles

2024 EACTS/EACTAIC/EBCP Guidelines on cardiopulmonary bypass in adult cardiac surgery.

Wahba A, Kunst G, De Somer F, Kildahl H, Milne B, Kjellberg G Eur J Cardiothorac Surg. 2025; 67(2).

PMID: 39949326 PMC: 11826095. DOI: 10.1093/ejcts/ezae354.


2024 EACTS/EACTAIC/EBCP Guidelines on cardiopulmonary bypass in adult cardiac surgery.

Wahba A, Kunst G, De Somer F, Kildahl H, Milne B, Kjellberg G Interdiscip Cardiovasc Thorac Surg. 2025; 40(2).

PMID: 39949317 PMC: 11826094. DOI: 10.1093/icvts/ivaf002.


Artificial intelligence in cardiothoracic surgery.

Dias R, Shah J, Zenati M Minerva Cardioangiol. 2020; 68(5):532-538.

PMID: 32989966 PMC: 7959017. DOI: 10.23736/S0026-4725.20.05235-4.

References
1.
Wong D, Vander Salm T, Ali I, Agnihotri A, Bohmer R, Torchiana D . Prospective assessment of intraoperative precursor events during cardiac surgery. Eur J Cardiothorac Surg. 2006; 29(4):447-55. DOI: 10.1016/j.ejcts.2006.01.001. View

2.
ElBardissi A, Wiegmann D, Dearani J, Daly R, Sundt 3rd T . Application of the human factors analysis and classification system methodology to the cardiovascular surgery operating room. Ann Thorac Surg. 2007; 83(4):1412-8. DOI: 10.1016/j.athoracsur.2006.11.002. View

3.
Barach P, Johnson J, Ahmad A, Galvan C, Bognar A, Duncan R . A prospective observational study of human factors, adverse events, and patient outcomes in surgery for pediatric cardiac disease. J Thorac Cardiovasc Surg. 2008; 136(6):1422-8. DOI: 10.1016/j.jtcvs.2008.03.071. View

4.
Wiegmann D, Suther T, Neal J, Parker S, Sundt T . A human factors analysis of cardiopulmonary bypass machines. J Extra Corpor Technol. 2009; 41(2):57-63. PMC: 4680207. View

5.
Weininger S, Jaffe M, Robkin M, Rausch T, Arney D, Goldman J . The Importance of State and Context in Safe Interoperable Medical Systems. IEEE J Transl Eng Health Med. 2016; 4:2800110. PMC: 5052027. DOI: 10.1109/JTEHM.2016.2596283. View