UK GP Surgeries Turn to AI to Ease Phone Queues and Improve Patient Access

UK GP Surgeries Turn to AI to Ease Phone Queues and Improve Patient Access

Across the UK, doctors’ surgeries are increasingly adopting artificial intelligence to tackle one of primary care’s most persistent challenges: overwhelmed phone lines and long waits for patients seeking help.

One of the latest tools entering GP practices is InTouchNow.ai, a software platform designed to modernise how surgeries handle incoming calls. In many practices, phone lines become congested early each morning as patients call for appointments, prescriptions, or test results. Routine enquiries can unintentionally delay people with more urgent needs, adding pressure to both staff and patients.

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InTouchNow.ai offers AI voice agents for GPs, doctors and clinics to book your appointments and ensure you never miss a call. Call 020 3929 3700 >>

InTouchNow.ai uses voice-based AI to answer calls, assess patient requests, and book appointments. The system can manage multiple calls at once, directing callers to the right pathway whether they are seeking general advice, prescription renewals, appointment bookings, or clinical results. Practices can also personalise the service with recorded voice messages, helping maintain a familiar tone for patients.

The platform was founded by Daniel Park, who brings more than three decades of experience in medical call centres. According to the company, the AI receptionist answers calls immediately and updates connected appointment systems automatically. Because it is fully software-based, it can operate outside normal working hours, reducing the need for staff overtime during peak periods.

GP surgeries using the system report fewer missed calls, lighter workloads for reception teams, and improved patient access. InTouchNow.ai integrates with widely used GP systems such as Surgery Connect, AWS, and Anima, while allowing practices to retain control over their data. The technology supports more than 200 languages, including different accents and dialects, which can be particularly helpful in diverse urban communities.

InTouchNow.ai is part of a broader push within the NHS to deploy AI tools as a way to manage costs and redirect resources toward patient care. With funding pressures ongoing, digital systems are often introduced to reduce administrative burdens. One example is Smart Triage, an AI-powered platform already in use at several GP practices. It guides patients through initial questions and directs them to the appropriate care pathway, such as a GP appointment, a nurse consultation, or a specialist referral. An evaluation at a Surrey practice in 2024 found Smart Triage reduced average waiting times by 73%.

Evaluation Shows AI Triage System at Surrey GP Practice achieves 73% reduction in waiting times and improves patient care and practice efficiency - Health Innovation Kent Surrey Sussex
A recent evaluation commissioned by Health Innovation KSS has revealed improvements in patient access, demand and capacity management, following the…

AI is also being used to support clinicians directly. UK-based platform iatroX provides GPs with quick access to evidence-based clinical guidance, summarising relevant research and medical guidelines. Given the wide range of conditions GPs are expected to assess, such tools can help identify less common causes of symptoms. A 2025 evaluation found that around 86% of surveyed users considered iatroX useful, while 79% rated it as reliable.

Adoption, usability and perceived clinical value of a UK AI clinical reference platform (iatroX): a mixed-methods formative evaluation of real-world usage and a 1,223-respondent user survey
Clinicians face growing information overload from biomedical literature and guidelines, hindering evidence-based care. Retrieval-augmented generation (RAG) with large language models may provide fast, provenance-linked answers, but requires real-world evaluation. We describe iatroX, a UK-centred RAG-based clinical reference platform, and report early adoption, usability, and perceived clinical value from a formative implementation evaluation. Methods comprised a retrospective analysis of usage across web, iOS, and Android over 16 weeks (8 April-31 July 2025) and an in-product intercept survey. Usage metrics were drawn from web and app analytics with bot filtering. A client-side script randomized single-item prompts to approx. 10% of web sessions from a predefined battery assessing usefulness, reliability, and adoption intent. Proportions were summarized with Wilson 95% confidence intervals; free-text comments underwent thematic content analysis. iatroX reached 19,269 unique web users, 202,660 engagement events, and approx. 40,000 clinical queries. Mobile uptake included 1,960 iOS downloads and Android growth (peak >750 daily active users). The survey yielded 1,223 item-level responses: perceived usefulness 86.2% (95% CI 74.8-93.9%; 50/58); would use again 93.3% (95% CI 68.1-99.8%; 14/15); recommend to a colleague 88.4% (95% CI 75.1-95.9%; 38/43); perceived accuracy 75.0% (95% CI 58.8-87.3%; 30/40); reliability 79.4% (95% CI 62.1-91.3%; 27/34). Themes highlighted speed, guideline-linked answers, and UK specificity. Early real-world use suggests iatroX can mitigate information overload and support timely answers for UK clinicians. Limitations include small per-item samples and early-adopter bias; future work will include accuracy audits and prospective studies on workflow and care quality.

According to NHS England, AI systems are now assisting with tasks ranging from diagnosis and chronic disease monitoring to prescription advice and administrative work. However, healthcare remains one of the most tightly regulated sectors for data protection. This means AI adoption must strike a careful balance between improving efficiency and safeguarding patient privacy.

As more GP surgeries experiment with these tools, early results suggest that AI could play a practical role in easing pressure on frontline services. While not a replacement for clinical judgment or human interaction, technology is increasingly being positioned as a way to help patients reach the right care more quickly.

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