Skip to main content

Transforming health through the metaverse

 A real change is on the horizon. In October 2021, Facebook announced that it would rebrand itself as ‘Meta’, and this generated high levels of public interest in the metaverse for the first time. Definitions for the metaverse vary and there is still much uncertainty in its eventual future manifestation. It is perhaps best defined as a fully immersive parallel digital reality where users will be able to interact at a scale previously unimagined.

The advent of the metaverse could have transformational impact on every aspect of human life, from our social interactions to what we ascribe real value to. Just as the Internet has completely transformed health, the metaverse will redefine virtual and physical possibilities in health.2 This will have major implications for our health and for healthcare delivery. The coming of age of the metaverse is in due largely to the maturation of technological advances in artificial intelligence and devices that enable the delivery of mixed, augmented and virtual reality, along with cryptography, the catalyst behind web3, and increased computing power.

The metaverse has the potential to greatly impact the field of healthcare. For example, virtual reality (VR) and augmented reality (AR) technologies could be used to create immersive, interactive experiences for patients, such as virtual tours of the human body to help them better understand their conditions. These technologies could also be used to train medical professionals in a safe, controlled environment, allowing them to gain experience and improve their skills without risking the health of real patients. Additionally, the metaverse could facilitate remote consultations and telemedicine, allowing patients to receive care from a wider range of medical professionals, regardless of their location. 

Read the full article in the Journal of the Royal Society of Medicine.

Comments

Popular posts from this blog

What is the difference between primordial prevention and primary prevention?

Primordial prevention and primary prevention are both crucial strategies for promoting health, but they operate at different levels. Primordial prevention aims to address the root causes of health problems and improve the wider determinants of health. It focuses on preventing the emergence of risk factors in the first place by tackling the underlying social, economic, and environmental determinants of health. This involves broad, population-wide interventions such as: Policies that promote healthy food choices: Think about initiatives like taxing sugary drinks to discourage unhealthy consumption, or providing subsidies for fruits and vegetables to make them more accessible. Urban planning that prioritises well-being: This could include creating walkable neighborhoods with safe cycling routes, ensuring access to green spaces for recreation and relaxation, and designing communities that foster social connections. Social programs that address inequality: Initiatives aimed at reducing pov...

UK Covid-19 Inquiry - The Importance of a Strong Primary Healthcare System

In my witness statement for Module 10 of the UK Covid-19 Inquiry, I discuss the pandemic's impact through from the perspectives of  primary care and public health, drawing on my extensive experience as a senior academic at Imperial College London and as a practising GP and NHS Public Health Specialist.  I emphasise that the pandemic disproportionately affected people who were clinically vulnerable, the disabled, ethnic minority communities and those living in deprived areas. The pandemic highlighted how structural inequalities, multigenerational housing, and employment in high-risk frontline roles exacerbated health disparities.  My statement also critiques the weakening of public health infrastructure - particularly for the control of infectious diseases - and the lack of integrated health data systems to identify at-risk groups such as the clinically vulnerable. I also advocated for a more robust preventive healthcare model that prioritises community-based primary care ...

Relevance Over Recall: Rethinking How AI Uses Clinical Data

Our article in the Journal of the Royal Society of Medicine argues that safe and effective AI in healthcare must incorporate mechanisms that emulate human judgement - down-weighting old, inaccurate or superseded information and prioritising what is recent, clinically relevant and reaffirmed - so that AI supports, rather than disrupts, high-quality patient care.  Clinicians constantly revise, reinterpret and filter past information so that only what is relevant, accurate and timely shapes present-day management decisions; medical records function as dynamic “working tools” rather than fixed archives. By contrast, many AI systems lack this capacity for selective forgetting and often treat all historical data as equally meaningful.  This can lead to outdated or low-confidence diagnoses being repeatedly resurfaced, persistent labels influencing clinical expectations, and irrelevant, long-resolved events cluttering summaries and decision-support outputs. Such indiscriminate recall...