• Mohit D Gupta, Ankit Bansal, Prattay G Sarkar, M P Girish, Manish Jha, Jamal Yusuf, Suresh Kumar, Satish Kumar, Ajeet Jain, Sanjeev Kathuria, Rajni Saijpaul, Anurag Mishra, Vikas Malhotra, Rakesh Yadav, S Ramakrishanan, Rajeev K Malhotra, Vishal Batra, Manu Kumar Shetty, Nandini Sharma, Saibal Mukhopadhyay, Sandeep Garg, and Anubha Gupta.
• GB Pant Institute of Post Graduate Education and Research, New Delhi, India. Electronic address: drmohitgupta@gmail.com.
• Indian Heart J. 2021 Jan 1; 73 (1): 109-113.

BackgroundThere is no large contemporary data from India to see the prevalence of burnout in HCWs in covid era. Burnout and mental stress is associated with electrocardiographic changes detectable by artificial intelligence (AI).ObjectiveThe present study aims to estimate the prevalence of burnout in HCWs in COVID-19 era using Mini Z-scale and to develop predictive AI model to detect burnout in HCWs in COVID-19 era.MethodsThis is an observational and cross-sectional study to evaluate the presence of burnout in HCWs in academic tertiary care centres of North India in the COVID-19 era. At least 900 participants will be enrolled in this study from four leading premier government-funded/public-private centres of North India. Each study centre will be asked to recruit HCWs by approaching them through various listed ways for participation in the study. Interested participants after initial screening and meeting the eligibility criteria, will be asked to fill the questionnaire (having demographic and work related with Mini Z questionnaire) to assess burnout. The healthcare workers will include physicians at all levels of training, nursing staff and paramedical staff who are involved directly or indirectly in COVID-19 care. The analysis of the raw electrocardiogram (ECG) data and development of algorithm using convolutional neural networks (CNN) will be done by experts.ConclusionsIn Summary, we propose that ECG data generated from the people with burnout can be utilized to develop AI-enabled model to predict the presence of stress and burnout in HCWs in COVID-19 era.Copyright © 2020 Cardiological Society of India. Published by Elsevier B.V. All rights reserved.

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