Your morning abstract of digital well being information, data and occasions to learn about if you wish to be “within the know”.
👇 Information
📄 The Nationwide Institute for Well being and Care Excellence (NICE) has opened a session on proposed updates to its HealthTech programme guide. The guide units out the strategies used when growing very important HealthTech steerage and contains new approaches for growing steerage for merchandise already getting used inside the NHS. Responses are invited as much as 5pm 4 September 2025.
🩻 Medical imaging specialist Adaptix Ltd has introduced an unique distribution settlement with Vertec Scientific Ltd UK. The transfer will see Vertec appointed because the official UK distributor for the Adaptix Orthopaedic 3D imaging system, which offers orthopaedic surgeons with extra detailed, higher-resolution 3D photographs.
📝US software program large Epic is rumoured to be planning to launch its personal AI scribe to transcribe docs’ notes. The corporate posted a video on 6 August 2025 which highlighted its AI charting capabilities.
♀️ A brand new collaboration will mix digital hormone intelligence from Tuune with Weldricks Pharmacy’s dispending to ship personalised contraception on-line. The partnership goals to present girls safer entry to contraception tailor-made to their distinctive biology and signs.
💷 Three West Yorkshire-base HealthTech corporations have been introduced as finalists within the £1 million Mayor’s massive concepts problem. MAGI, an AI platform, providing accessible instruments to neurodivergent girls to navigate burnout; the West Yorkshire DPP Assist and Prescribing Assist Platform, which presents coaching, mentorship and peer help for pharmacists; and Polly, an AI-powered speech and language platform to assist kids develop communication expertise, will every obtain £20,000 to assist carry their tech to life.
🤖 CardioPrecision has executed the primary scientific case of robotic aortic valve substitute by means of a small incision within the neck. It follows on from final 12 months’s proof of idea AVATAR process and surgical procedure on human cadavers utilizing its CoreVista Robotic Enabling Platform. The corporate was initially spun out of the NHS by means of InnoScot Well being.
❓Do you know?
Analysis by the agency Modat discovered that knowledge from 1.2 million healthcare gadgets and programs are uncovered on-line, together with greater than 77,000 gadgets and programs in Nice Britain. This locations Nice Britain within the high 10 international locations with the very best variety of susceptible gadgets.
The evaluation discovered that many internet-connected gadgets, starting from MRI machines to programs storing blood take a look at outcomes, are poorly secured with safety vulnerabilities or misconfigurations or lack correct authentication.
It stated that the difficulty stems from misconfigured programs and outdated software program, which might enable anybody with primary instruments to entry extremely delicate data together with affected person names, diagnoses and detailed scans.
📖 What we’re studying
The federal government’s AI Alternatives Motion Plan has highlighted artificial knowledge as an space a possible answer that may enable for the sharing of privacy-preserving variations of extremely delicate knowledge, comparable to NHS well being knowledge
An evaluation of NHS England’s failed care.knowledge platform, authored by Sahar Abdulrahman and Markus Trengove, presents key suggestions for future artificial knowledge initiatives in healthcare.
The paper, printed on 9 August 2025 in Nature’s npj digital medication, highlights criticism of the care.knowledge scheme for its insufficient and exclusionary consent course of.
For future artificial knowledge tasks to succeed, the authors argue that they need to tackle the three core points that contributed to care.knowledge’s failure: confidentiality, consent and transparency.
The paper means that to fight public {and professional} considerations over the danger of re-identification, artificial knowledge initiatives should use privateness metrics to classify datasets into low, medium and high-risk classes.
Low-risk knowledge would have fewer restrictions, whereas high-risk knowledge would require the identical stringent safeguards as real-world knowledge, comparable to Trusted Analysis Environments (TREs).
Additionally, it says that future artificial knowledge initiatives should interact meaningfully with sufferers, making certain they perceive the dangers and advantages.
The authors argue {that a} lack of transparency about who would entry NHS knowledge was a significant component in care.knowledge’s abandonment.
They suggest that artificial knowledge initiatives should be clear about their supposed customers and make sure that any industrial entry is vetted for public profit with a delegated public physique inside the NHS, relatively than a personal firm, accountable for creating and managing entry to knowledge.
🚨Upcoming occasions
22 August 2025, on-line occasion – Digital nursing and the ten 12 months plan
