Living the Future: Lessons from a Patient and Leader on AI in Medicine (Plenary)-Living the Future: Lessons from a Patient and Leader on AI in Medicine

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Video Summary

At the CMSS meeting, Jennifer Goldsack delivered a powerful keynote blending her expertise in digital medicine with her personal experience as a late-stage cancer patient. She described several moments from her care journey that highlighted both the fragility of trust in healthcare and the extraordinary value of human clinicians, nurses, and administrators. While she was initially misdiagnosed in the emergency room, her trust was rebuilt through compassionate advocacy, careful medication coordination, thoughtful oncology decisions, and billing support from staff who helped her navigate overwhelming costs.<br /><br />Goldsack argued that healthcare is overly dependent on human labor to keep a broken system functioning and that AI is often being deployed in the wrong places. She criticized the focus on prior authorization automation and argued for technology that addresses real clinical pain points, improves outcomes, and reduces burden on clinicians and patients. She emphasized that trust is not the only goal—many tools are used because they solve urgent problems, as shown by the rapid adoption of ambient scribes.<br /><br />She also discussed broader themes: the lack of a coherent U.S. healthcare strategy, the need for better data sharing and more personalized care, and the importance of sustainability for patients, clinicians, and health systems. Goldsack highlighted DIME’s AI implementation playbook, training courses, and a Healthcare 2030 impact thesis aimed at prevention, personalization, measurable outcomes, and financial and professional sustainability.<br /><br />A panel discussion followed, with leaders from radiology, technology, and clinical medicine reflecting on healthcare fragmentation, workforce strain, and the need for cross-sector collaboration and strategic planning.

Keywords

Jennifer Goldsack

CMSS meeting

digital medicine

late-stage cancer

healthcare trust

AI in healthcare

prior authorization automation

ambient scribes

data sharing

personalized care

healthcare sustainability