Healthcare is becoming both increasingly data driven and automated. Drawing on a largescale review of artificial intelligence developments in the field of mental health and wellbeing, Elizabeth Morrow, Teodor Zidaru-Bărbulescu and Rich Stockley, find that opportunities for patients to influence and inform these future technologies are often lacking, which in turn may heighten disillusionment and lack of trust in them. As such, they propose four priorities for new data driven technologies to ensure they are ethical, effective and equitable for diverse patient groups. As the pandemic has sadly made clear, health policymakers and practitioners often make rapid, complex, life and death decisions. It has also demonstrated the pivotal role of technology in aiding such decisions in infection control and vaccine development.

This report documents the approach and findings of a pilot commissioned by Roche Singapore Pte Ltd. and initiated by IQVIA. The study found that patients with different stages of breast cancer in Singapore have different concerns and needs. The report makes recommendations for information providers and policy makers on how these needs could be considered when making decisions about patient treatment and care. The pilot used an Artificial Intelligence (AI) platform to explore priorities and concerns of breast cancer patients in Singapore. The pilot analyzed online activity among the Singaporean population over the past two years, evaluating more than 46,000 unique online activity patterns to derive insights.