Affiliation:
1. Guru Tegh Bahadur Institute of Technology, New Delhi, India
2. Central University of Haryana, Mahendragarh, India
Abstract
The ambiguity related to transmission of disease in humans and the lack of health infrastructure to tackle the needs and shortage of healthcare providers has resulted in adoption of new means to tackle COVID-19. Technologies were used for contact tracing, case identification, population surveillance, and evaluations. Such rapid responses have leveraged large data sets, connected devices, machine learning, deep learning, and natural language processing. A huge amount of data collected by the processes for healthcare led to many privacy breach incidents. This chapter aims to capture the digital innovations to healthcare during COVID-19 like high user uptake, integration with existing system, ability for impact analysis, notification to agencies, and quarantine for infectious people. Privacy concerns of these healthcare innovations related to location, biometrics, personal information, and comorbidities have been identified. The chapter also presents taxonomies of privacy related to online health collaboration which increased during the COVID-19 era.
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Response of the Ayurvedic Healthcare Sector to COVID-19;Cases on Emerging Market Responses to the COVID-19 Pandemic;2022-05-06
2. Responding to COVID-19;Cases on Emerging Market Responses to the COVID-19 Pandemic;2022-05-06
3. Revisiting Employee Engagement in the New Normal;Cases on Emerging Market Responses to the COVID-19 Pandemic;2022-05-06
4. Adaptive Resilience of a Social Enterprise During Adversity;Cases on Emerging Market Responses to the COVID-19 Pandemic;2022-05-06
5. Responding to the Pandemic;Cases on Emerging Market Responses to the COVID-19 Pandemic;2022-05-06