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Healthcare Supply Chain and Precision Medicine Roundtable

At the Health AI Institute roundtable, Professor Anand Mishra shared ideas on improving healthcare supply chains. He discussed how training health workers in Indonesia cut contraceptive shortages and how precision medicine boosted drug sales, highlighting the promise of AI in healthcare.

- What We Have Done -

Key Focus

  • Defining Healthcare Supply Chains
  • Professor Mishra outlined healthcare supply chains as interconnected systems and processes aimed at ensuring equitable access to medicines and supplies.
  • These supply chains include stakeholders like wholesalers, hospitals, clinics, and manufacturers.
  • Project 1: Reducing Contraceptive Stockouts in Indonesia
  • Focusing on contraceptive stockouts, Professor Mishra’s project addresses the challenges faced by frontline health workers in Indonesia. The study, involving data from nearly 2 million observations, demonstrated that on-site training significantly reduces stockouts, with familiar trainers proving most effective.
  • The findings suggest that such training could avert 8,400 unintended pregnancies and 45 maternal and newborn deaths.
  • Project 2: Economic Impact of Precision Medicine
  • In a second project, Professor Mishra explored the economic viability of precision medicine by evaluating market responses to precision-based cancer treatments.
  • Data from 76 cancer drugs revealed that precision indications lead to substantial increases in drug sales and revenue, underscoring the role of companion diagnostics in market growth.
  • Discussion and Q&A Highlights
  • The Q&A session emphasized the importance of inventory management training for health workers and the collaborative role of pharmaceutical and diagnostic companies in advancing precision medicine. Audience questions focused on applying these findings in developing economies.
  • Conclusion and Future Directions
  • Studies on digital scribes revealed significant omission errors that pose patient safety risks.
  • A study of LLMs highlighted an average of 1.7 errors per patient query, signaling the need for cautious deployment of such systems.
  • Concluding Remarks:
  • The Health AI Institute thanked Professor Mishra for his contributions and announced that materials from the session will be available soon. The next roundtable, scheduled for November 7, will explore ethics, AI, and quantum computing in healthcare.