AI Is Changing Healthcare — But At What Cost? With: Akifa Khattak
Artificial intelligence is rapidly transforming healthcare delivery, but its regulatory, legal, and economic implications remain uncertain. In this interview, Akifa Khattak, a healthcare attorney and biotech expert, explains how AI is reshaping governance, infrastructure, and reimbursement models across the industry. She outlines the emerging risks tied to data ownership, liability, and energy-intensive infrastructure, while highlighting the growing role of agentic AI in clinical workflows. As healthcare systems adopt AI-driven tools for decision support and automation, leaders must balance innovation with oversight. This discussion explores how policy, transparency, and shared accountability will determine whether AI improves patient outcomes or introduces new systemic risks.
Episode Contents:
About the Guest
Akifa Khattak is a healthcare attorney, biotech specialist, and AI governance expert. She is Co-Founder of Their Health AI and CEO of Qodiva LLC, with prior experience at The Health Law Firm and advisory roles in biotechnology. She holds advanced degrees from Cornell University, Johns Hopkins University, and Widener University Commonwealth Law School. View her profile here: https://www.linkedin.com/in/akifa-khattak-jd-mha-ms-biotech-558a041b/
Key Takeaways
- Healthcare leaders must assess AI infrastructure risks, including data, energy, and liability exposure
- Agentic AI requires stricter oversight due to autonomous decision-making capabilities
- Reimbursement models may shift toward AI-driven outcomes and shared financial incentives
Transcript Summary
What makes AI fundamentally different from past healthcare technologies?
AI represents a systemic shift comparable to electricity, impacting every sector simultaneously. Unlike prior tools, it requires massive infrastructure including data centers, energy, and water resources. These dependencies introduce new healthcare risks tied to environmental and operational factors.
What are the biggest infrastructure and legal concerns with AI?
AI relies on complex infrastructure such as GPUs, data centers, and global supply chains. These systems create risks related to environmental impact, data ownership, and liability. Khattak highlights parallels to past public health crises caused by industrial activity, emphasizing the need for proactive oversight.
How is AI changing healthcare reimbursement models?
New frameworks are emerging where AI platforms may be reimbursed based on their ability to improve patient outcomes. This introduces a shift from traditional provider-based billing toward shared financial models involving technology companies.
What risks do agentic AI systems introduce?
Agentic AI can autonomously make decisions, set goals, and execute workflows. While powerful, these capabilities raise concerns about accountability, especially in high-risk clinical and financial scenarios. Khattak emphasizes the need for human oversight and regulatory distinctions between static and autonomous systems.
Who is responsible when AI makes a mistake?
Responsibility is likely to be shared across stakeholders, including clinicians, healthcare systems, and executives. Khattak suggests that healthcare CEOs and regulators may ultimately bear increased accountability for how AI tools are implemented and governed.
What role does data ownership and transparency play?
Data remains fragmented across healthcare systems, creating interoperability challenges. Patients must retain control over their data, and transparency in how AI systems use and process information will be critical to building trust and preventing misuse.
What innovations are most promising for patient care?
Emerging technologies such as tissue-on-chip diagnostics could significantly reduce diagnostic timelines and enable personalized treatment. These advances highlight AI’s potential to dramatically improve outcomes if implemented responsibly.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
Leading oncology AI thought leaders Drs. Sanjay Juneja, Debra Patt, and Doug Flora bring you conversations at the intersection of medicine, data, and innovation. Each episode explores both the big picture and the breaking news in artificial intelligence and healthcare—examining how today’s technology is reshaping the practice and business of oncology.
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