Healthcare in 2026: What to expect

Jess O’Dwyer, General Manager at Pocketalk shares her thoughts on what we can expect to see in the coming year

To date, language translation spend and incorporation has focused mainly on hospitals or GP surgeries, but more diffusion is needed as well as better, more efficient options. It’s important that all healthcare services have the ability to furnish patients with quick, safe, cost-effective and easily accessible translation, including opticians, pharmacies and dental practices, to ensure overall best care and patient outcomes in 2026.

With net migration projected to remain high, UK businesses and services will face greater pressure to serve multilingual communities next year. The millions of citizens that do not have English as their first language, but depend on public or private health practices, will need accurate communication to help facilitate appointments and care. When conducting initial information gathering appointments to understand current concerns and medical history clear communication is essential.

By 2026, translation and interpretation won’t just be a support service — it will be part of the core infrastructure of healthcare systems to ensure equitable, patient-centric care. Currently, most, if not all, healthcare settings are required to offer translation services via telephone, video or in-person, but these necessitate time to organise, added time to appointments, as well as a not insignificant cost to the NHS or private practices.

The need for innovative new translation technology to overcome language barriers is clear, from booking an appointment at the right time, day and for the right reason, to understanding treatments and price options, as well as leaving with a clear after-care plan that will avoid further unnecessary follow-up appointments..

A recent report from the National Child Mortality Database offered a heartbreaking reminder of what’s at stake. It found that when families can’t access the interpreters they desperately need, critical information can be missed and in the most tragic cases, this has contributed to avoidable deaths among children and newborns, with BAME communities disproportionately affected. While the Government’s Improvement Framework is working towards a better provision of translation and interpretation options, it’s essential that this progress cuts through the red tape, procurement and onboarding challenges to incorporate state-of-the-art technology as soon as possible to avoid more potential injuries and fatalities.

Advances in medtech in 2026 will see improved communication that is powered evermore by AI, with growing demand and regulatory pressure resulting in AI processing done locally (on device), reducing reliance on the cloud for sensitive or personal data. As AI workloads grow more complex and regulatory pressures increase, companies should reconsider their reliance on cloud storage. Businesses wanting more control, security and performance, will need to choose the best options to support their specific needs. Local (on-device) AI processing runs an AI model directly on the user’s device, offering lower latency and enhanced privacy, but is limited by its processing power, while cloud AI sends data to remote servers for processing, with access to powerful computing resources, but introduces higher latency and less security

The existing EU AI Act and UK AI Regulation Bill, currently provides decision makers with a starting point for what they need to look for in terms of compliance, but we can assume that regulations will be updated in 2026 to reflect the Government’s push to use AI, with the UK and EU set to tighten oversight on how AI models process sensitive personal data, something that is paramount in all healthcare settings, large and small. We can therefore expect 2026 to bring clearer guardrails — requiring businesses to prove transparency in how translation, voice, and generative AI systems store and handle data, something that will become a competitive differentiator.

While every facet of the healthcare sector looks to improve its offering while cutting unnecessary spend, new tech will carry out more and more frontline medical tasks, often driven by AI, which is when best in class security is needed.

We can expect stronger regulatory and standards frameworks for machine translation and AI translation for the healthcare sector. Cybersecurity is bound to be a focus given the continued trajectory of AI usage and the many and significant security breaches in 2025. In the coming year, as awareness of cyber threats increases, decision makers will demand that technology solutions can demonstrate their security credentials are the best possible, as well as highlighting an active investment in future proofing services to protect the sectors and businesses that use them and the clients or patients they are meant to be benefiting.

It’s clear that technology will play a huge part in any successful and tangible progress. The question is how we implement change that cuts through current challenges and offers significant and much needed cost savings, providing a secure solution when dealing with highly sensitive health and medical information.

Article and image submitted by Pocketalk

Staff Writer