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In a recent announcement the Medicines and Healthcare products Regulatory Agency (MHRA) unveiled its strategic approach to artificial intelligence (AI), as it sets out to embrace the transformative potential of AI in healthcare regulation. Building upon the Government's white paper 'A pro-innovation approach to AI regulation', released in 2023, the MHRA outlined five key strategic principles guiding its adoption of AI. These principles encompass safety, security, and robustness; appropriate transparency and explainability; fairness, accountability, and governance; and contestability and redress. A science-led organization, the MHRA was tasked with providing an independent view of its approach to AI in medicine and science, aligning with a government white paper. Recognising its role in UK's goal to be a science and tech leader by 2030, MHRA is tasked to evaluate AI's opportunities and risks across regulatory, public service, and evidence-based decision-making area.

NHS England is rolling out a range of tech and data solutions, including an artificial intelligence (AI) system, across the health service to tackle winter pressures. The AI system will be used to identify patients at risk of hospital admission so community NHS teams can get to them first and reduce pressures on A&E departments. On a trial basis, four GP practices in Somerset have started using the innovative technology which can highlight registered patients with complex health needs. Health coaches, nurses, or GPs will then reach out to the people most at risk, and provide them with a range of preventive care such as monitoring, food parcels, cleaning, shopping, as well as escalating care to specialist doctors.

AI in medical devices enhances clinical technology by enabling real-time signal analysis and timely responses. These devices assist care teams to improve outcomes and adapt as healthcare evolves. This blog will present an overview, key applications, challenges, and future trends, and how this technology is revolutionizing the healthcare sector.

AI in medical devices enhances diagnostics, therapy, and monitoring. Discover the impact of AI solutions for healthcare in medical device software.

Artificial Intelligence as a Service (AIaaS) is emerging along with other models of cloud computing such as SaaS, PaaS, IaaS, and FaaS. AIaaS helps healthcare providers and startups access AI tools. They can do this without spending money on expensive infrastructure. AIaaS is an emerging but important service model in healthcare, enabling advanced diagnostics, process automation, and improved patient care.

Glenmark, a multinational pharmaceutical company, has partnered with AI data-driven supply chain management platform 7bridges. Initially focusing on their European business, where they have operations in 15 markets, the supply chain and logistics function is a big focus area for this cost reduction. The partnership with 7bridges will allow Glenmark to baseline their supply chain data giving them visibility of data, cost and service performance across their network of logistics service providers. This exercise will identify areas where invoices from their logistics service providers are being incorrectly or overcharged. With automatic dispute raising, savings will be quickly achieved. The platform will then enable Glenmark to benchmark their data, so they can compare the performance and cost of their LSPs to the wider industry. With Glenmark's global vision to emerge as a leading integrated research-based global pharmaceutical company, this investment in their supply chain will be integral to achieving this. The next step in the partnership will be to run simulations to optimise road freight services and 3PL operations, with the aim to then roll out globally.

The Company Chemists' Association (CCA) has voiced strong support for a recent report from the Tony Blair Institute (TBI), which advocates for the establishment of a 'Digital Health Record' (DHR) for every individual in the UK. The CCA, which was interviewed as part of the report's development, believes that the creation of a DHR could significantly enhance the NHS's efficiency, improve preventative healthcare, and help the health service harness the full potential of artificial intelligence (AI). The TBI report highlights that the current health and care system suffers from fragmented data, with individual records scattered across various providers, including community pharmacies. This siloed approach often hampers the delivery of seamless and effective care. A unified DHR, the report argues, would consolidate all relevant health data into a single, accessible record, ensuring that patients receive timely and appropriate care across the entire healthcare system.