New players using new technologies are entering the healthcare space, acquiring patient data that is more in demand than ever. Health datasets are leveraged to develop tools for diagnosis, monitoring, tracking, and reporting of illnesses. There are myriad new applications, especially in the context of COVID-19. However, reports of data breaches and mismanagement have engendered a lack of trust and an adverse view of many entities that acquire and analyze health data. Use of outdated or poorly gathered non-representative health datasets may raise a risk of disparities in care if the algorithms based on such datasets are applied in real-world settings. When health technology is booming, it is essential to identify the steps required to promote equity in the collection of health-related data. Experts will discuss the effects and implications of current practices and evaluate approaches to ensure that new technologies advance biomedical research through equitable data collection.