Uddiptya Goswami, Associate Consultant Medical Oncology and Hemato Oncology at SP Medifort Hospital, shared a post on LinkedIn:
“In LMICs, the biggest barrier to cancer care often isn’t the lack of treatment, it’s fragmentation. Patients fall through the cracks between diagnosis, biopsy, and therapy simply because the system is complex. In my latest article for CancerWorld, I explore a critical question: Can AI-supported patient navigation close this gap in LMICs?
Key takeaways from the article:
- The Problem is Coordination: Patient navigation acts as the connective tissue in oncology care. Without dedicated navigators to track appointments and follow-ups, delayed care often leads to disease progression.
- Where AI Adds Value: AI cannot replace the empathy and trust built by human navigators. However, AI tools can analyze complex data to identify high-risk dropouts early, triage patients needing urgent follow-up, and optimize workflows.
- The Reality Check: AI cannot compensate for weak health systems. Without basic digital infrastructure, local data validation, and dedicated human teams to respond to alerts, even the most sophisticated algorithm falls short.
The future of equitable cancer care relies on combining the analytical precision of AI with the irreplaceable human element of navigation.
Read the full piece in CancerWorld to dive deeper into how we move patient navigation from isolated pilot projects to standard cancer policy.”
Other posts featuring Uddiptya Goswami on OncoDaily.
