4IR Technologies Can Play “Game-Changer” Role in Transforming Cancer Care

Fourth Industrial Revolution Technologies can play a “game changer” role in transforming cancer care in India, according to a new white paper, FIRST Cancer Care: Towards a new data model with Fourth Industrial Revolution technologies, published today by the World Economic Forum.

The Forum’s India Centre for the Fourth Industrial Revolution convened more than 30 expert stakeholders over dozens of meetings to determine how Fourth Industrial Revolution Technologies could revolutionize that care. Cancer data gets fragmented due to the long and complex nature of diagnosis, treatment and care. A clinical research environment, founded on trustworthy, anonymized and annotated datasets on different types of cancer is badly needed.

The “Fourth Industrial Revolution for Sustainable Transformation (FIRST) Cancer Care” white paper presents a strategy for employing the latest Fourth Industrial Revolution Technologies to address priorities in preventive care, curative care and governance, including health screening, awareness raising, diagnosis, capacity building and public health intelligence. Artificial intelligence (AI), the internet of things (IoT) and blockchain will all transform healthcare delivery in India. AI can enable faster and more accurate diagnosis, wearables can promote wellness, IoT devices can support remote management and AI-enabled clinical decision support can enhance the effectiveness of health professionals.

The white paper’s central proposal is to create an Oncology Data Model, including data capture, standards and protection.

This model – described as a “game changer” among emerging tech interventions – would ensure data capture along every step of the patient journey, while avoiding duplication and ensuring privacy,” said Purushottam Kaushik, Head, Center for the Fourth Industrial Revolution, World Economic Forum, India. “The Oncology Master Record thus created would be accessible to all authorized stakeholders.”

The white paper recommends testing the proposed technology solutions in two or three district-level pilots per state, scaling it up after the pilots demonstrate success.