A definition and overview of different companies in this space
Authors: Benedikt Thungen (Sanome), Dr Andrew Creagh (Sanome, University of Oxford), Dr Michael Bedford (EKHUFT), Dr Daniele Soria (University of Kent), Cedric Odje (DebioPharm), Justin Vibert (Heal Capital), Dr Keith Grimes (Curistica), Dr Cihat Cengiz (Dieter von Holzbrink Ventures), Dr Philip Ashworth (PatientSource)
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In the ever-changing landscape of technology and business, the term ‘Co-pilot’ has evolved from its original meaning in the aviation space, where it described the second in command assisting the pilot and providing situational awareness.
The concept ‘Co-pilot’ has seamlessly integrated into the business world, represented by its recent adoption in various sectors as a symbol of a smart assistant or companion. For example, Microsoft’s introduction of their AI Copilot, designed to enhance user efficiency through features like sentence auto-completion or smart inboxes.
This growth in the term ‘Co-pilot’ is largely fuelled by the recent advancements in AI, particularly in generative AI technologies. The excitement around these ‘AI Co-pilot’ hinges on their potential to significantly boost productivity and efficiency within organisations.
The healthcare sector, facing the growing challenge of escalating patient demand, complexity of care and an increasingly overstretched, cognitively overloaded and burnt-out clinical workforce, is no exception to this trend. Faced with a shortfall of over 14.5 million healthcare workers by 2030 [1] and the ageing baby boomer generation approaching the age where they require substantial healthcare, global healthcare systems are under immense strain. This issue was highlighted during the COVID-19 pandemic.
As a result, there are two ways to address this, (A) make the healthcare system more efficient so that more patients can be treated with the same resources – “supply” or (B) reduce demand through earlier intervention & prevention – “demand”.
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