Maneesh Juneja is a Digital Health Futurist who explores the convergence of emerging technologies to see how they can make the world a healthier and happier place. He looks at these technologies in the context of socio-cultural, political and economic trends, helping organisations around the world to think differently about the future.
Juneja believes the products and services that will have the biggest impact on our health, will not come from healthcare, but from outside of healthcare.
Maneesh Juneja solves questions like: How could self-driving vehicles enable older people to continue to live independent lives?, How can energy providers deploy smart home technology to monitor our health and wellbeing?, How could we use smart speakers powered by Artificial Intelligence to detect diseases just by analysing our voice?
How should we be using technology to combat the COVID-19 pandemic?, How will this pandemic change the way healthcare is delivered in years to come? and How can individuals, organisations and governments be more prepared for future pandemics? Given he is living with the long term symptoms of covid-19 (Long Covid) for over 6 months himself, he has unique insights as a Covid survivor.
Maneesh Juneja is passionate about ensuring that the choices we make in society result in a better future, not just for the privileged few, but for everyone. He has given 4 TEDx talks and has spoken around the world to leaders from organisations in multiple sectors. He believes that stories change ideas, and that the best stories leave us feeling excited, inspired and hopeful.
In 2012, Maneesh Juneja left the security of his career at GlaxoSmithKline, to immerse himself in the new world of Digital Health. In a career spanning 20 years, he has worked with data to improve decision-making across a number of industries. From supporting the Whitehall study at University College London, managing the Tesco database at DunnHumby, and most recently, working with the world’s largest U.S. & European patient databases at GlaxoSmithKline R&D.
Health is what happens to us in between visits to the doctor. We can’t just keep building more hospitals and hiring more doctors and expecting everyone to be healthier. That’s not a sustainable model. The pandemic has made human health an even bigger priority. There are so many new business opportunities for organisations outside of healthcare, to make an impact on our health, enabled by technology and data. How can you look beyond traditional boundaries to develop new products and services that can impact our health whilst helping your organisation to stay relevant during an era of massive change and disruption?
We talk about Artificial Intelligence (AI) at two ends of a spectrum, either utopian or dystopian future scenarios. Either all of humanity’s problems will be solved or we will all be enslaved by tyrannical algorithms. Neither scenario is realistic. So, how do we find a middle path that is agile enough to adapt to emerging technology but can also integrate with our policies, processes and people? Many are rushing to invest huge amounts in collecting more data and building new types of AI, but are they missing critical steps in this race to be first to market? What do organisations need to be doing to ensure their desire to innovate with AI doesn’t cause harm and doesn’t lead to losing the trust of their customers?
Anyone working in healthcare knows the difficulties of innovating within a risk averse, complex and highly regulated sector. However, emerging technologies, economic/social trends and a desire from patients to have more access, agency and autonomy are challenging the status quo in the healthcare sector. Does all of this mean that we will need fewer doctors and smaller hospitals in the future? Will some patients prefer to interact with a machine for healthcare needs rather than a human being? Are we heading for a world where AI monitors us 24 hours a day constantly checking for signs of disease? Where will the innovation in healthcare come from? From the sector, from startups or perhaps from patients themselves?
Data driven decisions are increasingly the norm across all layers of society, whether we apply for a bank loan, use a health app to check our symptoms, or have our faces scanned by facial recognition algorithms. Who should be making these decisions based upon data? Humans, or algorithms, or both? Is it really possible to build algorithms that are neutral and unbiased? How should your organisation approach data driven decision making from an ethical perspective? Does the use of data mean that privacy has to be infringed or are there new ways of doing analytics that also preserve personal privacy? Ultimately, how can we work together to build a data driven future that we can trust.
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