Exec Summary: Generative AI is a powerful new tool with the potential to revolutionize healthcare. It can be used to create new drugs, develop personalized treatment plans, and even generate synthetic medical data. But how can healthcare organisations best leverage this technology? A framework called the "Taker-Shaper-Maker" model can be used to describe how organisations can adopt generative AI. Takers Takers are the early adopters who use existing generative AI models for basic tasks. In healthcare, this might involve using a large language model to generate reports, automate admi ..read more

Exec Summary: Lloyd Price, HealthTech M&A Advisor and Partner at Nelson Advisors shares his thoughts with Daphné Leprince-Ringuet from Sifted discussing Doctolib, their continued success, big future and potential next moves. 'Few startups in France can claim to have changed the way people behave in as systemic a way as Doctolib. Launched in 2013 by Stanislas Niox-Chateau, Doctolib has become a key component of the country’s healthcare system. Its first product — an online booking platform that lets patients schedule doctor appointments — saw huge adoption in a sector with very little ..read more

Exec Summary: Lloyd Price, HealthTech M&A Advisor and Partner at Nelson Advisors tells Healthcare Business International he believes new Cyber Security regulations will provide a clear mandate to medtech manufacturers and suppliers to focus on meeting requirements. However, he cautions that regulation won’t turn the tide on its own: “I think other factors such as SBOMs (software bill of materials), the increasing decentralisation of health care delivery via virtual wards, remote monitoring, and patient engagement overall will also play important roles. “SBOMs are a list of all the so ..read more

1. Virtual Care – From Hype to Reality 2. Patient Engagement Platforms – Rebuilding Trust in the NHS 3. Population Health – from Reactive Care to Proactive Prevention 4. Digital Therapeutics – looking forward to a year of growth 5. AI in Clinical Imaging – shaping the future of healthcare 6. Electronic Bed and Capacity Management Systems - crucial support for an NHS under pressure 7. Shared Care Records - a time of transition and expansion 8. Medical Device Cyber Security Digital Health Intelligence Market Analysis - from identifying high value market segments to sales prospecting ..read more

Exec Summary: Machine learning and computational algorithms are revolutionising the field of diagnostics. These algorithms can analyse vast amounts of medical data, including patient history, lab results, imaging scans, and genetic information, to identify patterns and trends that would be difficult for humans to see. This can lead to more accurate diagnoses, earlier detection of diseases, and more personalized treatment plans. Here are some of the ways that machine learning and computational algorithms are being used to aid diagnostics: Image analysis: Machine learning algorithms can ..read more

Exec Summary The average multiples in HealthTech M&A deals in 2024 have slightly increased compared to 2023, reflecting a more optimistic but still cautious approach by investors in the face of broader socio economic and political uncertainty. As of April 2024, the average enterprise value (EV) to sales multiple is 4.8x, up from 4.5x in November 2023 and the average EV to EBITDA multiple range is 10x to 12.5x . Here's a breakdown of average multiples for different types of HealthTech companies in 2023: Telehealth companies: 5.5x to 4.7x Wellness companies: 4.0x to 3.2 ..read more

Exec Summary: Generative AI has the potential to be a powerful tool for mental healthcare, but it is not yet ready for prime time. There are a number of challenges that need to be addressed before generative AI can be used effectively in this field, including: Safety and ethics: Generative AI models can be trained on large datasets of text and code, which may include sensitive or harmful information. It is important to ensure that these models are not used to generate content that could be harmful to individuals or groups. Accuracy and reliability: Generative AI models are ..read more

Exec Summary: Digital phenotyping is a rapidly growing field that uses data collected from personal digital devices to measure and understand human behaviour and health. This data can come from a variety of sources, including: Smartphones (app usage, location data, call and messaging patterns) Wearables (heart rate, sleep patterns, activity levels) Social media (posts, likes, comments) Computers (browsing history, search queries) By analysing this data, researchers can gain insights into a wide range of health conditions, including: Mental health (depression, anxiety, bipolar ..read more

Exec Summary: Health tech's brightest leaders are coming to Rome from 29th to 31st May 2024. During 3 days of immersive learning, you'll dive into new technologies in healthcare (like generative AI, VR and digital twins), learn how successful systems roll out change, and get up-close with the regulators shaping Europe’s current health landscape. You'll build real connections with peers and innovators, and pick up insights that drive change back home. At HIMSS24 Europe, we’ll cover them all. Our lineup includes a deep dive into Europe’s current regulatory landscape, including the AI Act, t ..read more

Ministerial Forward Time and time again innovative medical technology (medtech) has advanced our quality of care. As we look ahead to the next 75 years of the NHS and social care system, medtech has never been so important as a catalyst for change to improve patient outcomes. That is why, in February 2023, we published the government’s inaugural medtech strategy. This set out how, over the next 5 to 10 years, we will ensure the health and social care system can reliably access safe, effective and innovative technologies. These technologies will enable the delivery of high-quality care, out ..read more