As artificial intelligence continues to expand from virtual assistants to AI-driven patient engagement tools, leaders are increasingly focused on how to adopt these technologies responsibly and at scale. In a recent Health IT Answers article, Avalon’s Vice President of Government and State Affairs Alex Sommer, alongside healthcare leaders, shares practical guidance on the role policy and governance must play as AI adoption accelerates.
Sommer emphasizes that while AI can deliver meaningful administrative and operational efficiencies, it must be implemented within rigorous policy frameworks that keep human-led diagnosis, triage, and care engagement at the center of care delivery.
“In clinical settings, artificial intelligence must be embedded within rigorous policy frameworks to ensure that human-led diagnosis, triage, and care-engagement remain central, and administrative gains don’t come at the expense of trust or transparency.”
As providers explore mental-health bots, virtual assistants, and other AI-enabled tools, the real opportunity lies in governance models that balance innovation with accountability. With the right clinical oversight and policy discipline in place, healthcare organizations can scale AI in ways that are both ethically sound and operationally effective.
Read the full article at Health IT Answers.
