With an accelerating rate of advancements in artificial intelligence (AI), the healthcare industry is on the cusp of a technology-driven revolution with potential to transform the way we diagnose, treat, and prevent diseases. However, the enormous potential of AI in improving patient care comes with the risk of bias in AI algorithms that could lead to deficient patient outcomes. Jason Johnson and Linda A. Malek of Moses & Singer recently provided insights on mitigating potential bias in healthcare algorithms and the associated regulations governing AI-driven medical devices during HITLAB's Summer Innovator Summit 2022.

With millennials beginning to turn 50 and the 65+ population expected to double by 2050, solutions that leverage technology to help us all live healthier, happier lives have never been more critical. Battling phenomena like the caregiver shortage, the time is now for products and services that help us stay connected, manage our health, and access the resources we need to age with ease, preferably in place.  

Responsible AI and digital ethics will capture center stage in the years to come, but right now it has settled in a trough of disillusionment. What can we do as an industry to change this? Gartner describes digital ethics1 as “managing and securing personal data without a nod toward considerations like accessibility, inclusivity, equity, mental health”.