{
  "id": 12120866,
  "title": "To fight cancer better, count it",
  "url": "https://urgent.news/2026/10/05/to-fight-cancer-better-count-it",
  "topic": "health",
  "section": "Health & Medicine",
  "published": "2026-10-05T09:42:13.000Z",
  "source": {
    "name": "The Indian Express",
    "slug": "the-indian-express",
    "url": "https://indianexpress.com/article/opinion/columns/to-fight-cancer-better-count-it-supreme-court-notification-10907469/"
  },
  "original_language": "en",
  "account": "India's cancer surveillance system could soon undergo a significant transformation if implementing a notifiable disease law becomes a reality, as suggested by a recent Supreme Court order. The Court's directive to 19 states and Union territories to consider making cancer reporting mandatory, coupled with the need for uniform guidelines across the country, presents an unprecedented opportunity to improve cancer data collection, planning and response.\n\nWhile states with existing notification systems can offer valuable lessons, challenges in reporting and data utilization hinder the creation of a cohesive national picture. A unified national framework, spearheaded by the Ministry of Health and Family Welfare, is essential to establish a standardized minimum dataset, common definitions, timelines, uniform safeguards and compliance rules. Training healthcare providers and laboratories, coupled with a practical transition period, will be crucial to ensure a smooth implementation.\n\nCancer notification can offer invaluable insights into diagnosed cases, enabling timely identification of where the disease is prevalent, who is affected and where the health system needs to respond. Linked with registries and health-system data, notification can reveal critical information such as geographic patterns, high-risk populations, delays and dropouts, and highlight areas where additional staff, diagnostic capacity or financial support are required. This data-driven approach can significantly impact health planning, guiding decisions on hospital and facility development, staffing requirements and the placement of specialized cancer services based on disease burden and population needs.\n\nThe success of cancer notification hinges on interoperable data flow across all levels of healthcare facilities, from smaller hospitals and diagnostic centers to larger institutions. The Centre should provide technical support, training and digital infrastructure to states with varying technical capacities. A common digital backbone, akin to the CoWIN platform, could serve as a shared standard while integrating existing systems, ensuring seamless data exchange even in areas with limited connectivity.\n\nMoreover, cancer notification can bolster planning for medicines, diagnostics, radiotherapy and emerging therapies by helping policymakers anticipate demand and improve availability. However, data protection remains a non-negotiable aspect of any national system, as cancer information is deeply personal. Safeguarding access, privacy, cybersecurity and permitted uses of information, with clear rules on identifiable data and anonymization, must be prioritized.\n\nWhile initial implementation may result in higher reported cancer numbers, this should not be misconstrued as a sudden increase in prevalence. Comprehensive reporting will uncover cases previously overlooked, providing a clearer picture of the disease's true scope. Over time, consistent data can identify trends and gaps in care, strengthen research, allocate resources effectively and assess the impact of interventions on patient outcomes. Ultimately, this initiative aims to move cancer planning from estimates to evidence-based decision-making, allowing India to fight cancer more intelligently, equitably and effectively.",
  "summary": null,
  "key_points": [
    "India's cancer surveillance system may become notifiable under a Supreme Court order.",
    "A unified national framework is needed for standardized cancer data collection.",
    "Cancer notification can guide health planning and resource allocation."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}