Rep. Morgan Griffith, chairman of the House Energy and Commerce Health Subcommittee, sees artificial intelligence as a central force in shaping the future of American healthcare - provided Congress builds the right guardrails. His assessment arrives alongside a recent series of legislative wins for rare disease research and a state-level push to use AI in Virginia's Medicaid call centers.
Congressional action on rare diseases
The Mikaela Naylon Give Kids a Chance Act, signed into law in February, strengthens federal efforts to review and approve therapies for rare pediatric conditions like childhood cancer. Weeks later, Griffith reported the ACT for ALS Reauthorization Act of 2026 out of his subcommittee, directing millions of dollars toward research on ALS and other neurodegenerative diseases. Both measures reflect a broader committee focus on speeding new treatments to patients with few options.
AI and machine learning in healthcare
Griffith convened a Health Subcommittee hearing this Congress to examine how AI for Healthcare can keep the American health care system aligned with the speed of science. He pointed to earlier detection, better medical guidance, and more precise care delivery as concrete opportunities. "The sooner that the patient receives care, the lesser the risk of severe illness or death that the patient faces," Griffith said, adding that faster treatment also helps prevent cost increases that strain patients, government programs, and providers.
Beyond clinical applications, medical device companies are analyzing product performance data to improve care. Insurance carriers use AI to process claims more quickly, while doctors and health professionals rely on the technology to complete required paperwork at a faster clip. Virginia's recently passed state budget reflects that momentum: it directs the Department of Medical Assistance Services to strengthen call center operations through AI technologies.
Human oversight and the limits of automation
Griffith warned that an uncritical rollout of AI would be "irresponsible policy and grounded in fantasy." He stressed that unlocking AI's full potential in health care requires human supervision. "We need responsible administration and active oversight of AI tools, while also placing an emphasis on safety," he said. That means a medical professional should review conversations when patients use AI chatbots for mental health resources, and a human must oversee any decision to deny a patient's treatment coverage.
Congress, Griffith argued, has a moral obligation to ensure AI tools assist rather than replace clinical workers. A balanced approach, he said, can lower health care costs, save taxpayer dollars, and open the door to breakthrough treatments.
Why this matters for healthcare professionals
The legislative and operational signals are clear: AI is moving from pilot projects into real healthcare workflows, but the expectation is that humans will remain in the loop for safety-critical decisions. Clinicians, administrators, and health IT staff will need to evaluate which AI tools genuinely reduce administrative burden without compromising patient care. Healthcare professionals looking to build practical knowledge of these tools can explore AI for Healthcare resources to understand the systems already reshaping diagnostics, documentation, and coverage decisions.
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