How AI workflow assistants can ease the burden in general practice

General practice is under sustained pressure. Patient demand is rising, workforce numbers are not keeping pace, and administrative work continues to climb. A recent BMA survey found that nine in ten GPs describe their workload as “unmanageable” or “unsustainable”, with paperwork and record-keeping cited as major contributors. Against this backdrop, artificial intelligence (AI) is beginning to find a role, not in replacing clinicians, but in supporting the unseen tasks that underpin safe and efficient care.

Looking beyond the hype

The public conversation about AI in healthcare often gravitates towards diagnosis or futuristic chatbots. Yet the most immediate benefits are likely to be in the routine workflows that quietly dominate practice life. Processing correspondence, coding patient records and summarising lengthy patient histories are essential tasks, but they consume vast amounts of time and can delay patient care if left unmanaged.

By applying natural language processing and machine learning, AI tools can help streamline these processes: extracting key details, suggesting structured codes or creating clear, consistent summaries. The aim is not to bypass clinicians, but to ensure their expertise is focused where it has the greatest impact.

Workflow assistance in action

One example of this approach is the GP Workflow Assistant, a set of AI tools designed to reduce the burden of everyday documentation. It brings together two complementary agents:

• The Clinical Coding Agent, which reads and maps terminology from documents into standardised codes, supporting safer data entry and reducing manual workload.
• The Summarisation Agent, which generates concise overviews of patient records, helping clinicians to see the essential information quickly without combing through years of notes.

Together, these agents form a practical layer of support inside existing systems such as Docman, already the national standard in more than 2,500 practices.

Proven at scale

Unlike many AI solutions still in pilot phase, workflow assistants are already being used in practice settings. Currently, the technology is live in 143 GP practices, with 95% reporting improved workflows. If extended nationally, modelling suggests this could equate to £75m in annual productivity savings for the NHS, roughly 150,000 additional patient appointments every week.

These figures demonstrate that workflow automation is not just a theoretical efficiency: it can deliver measurable, system-level impact.

Safeguards and governance

The introduction of AI into clinical practice rightly raises questions of safety, accuracy, and accountability. Current approaches follow a “human-in-the-loop” model: every output is reviewed by staff before being accepted. This ensures that AI augments, rather than replaces, professional judgment.

Professional bodies including the RCGP have stressed the need for clear governance in the use of AI, and that will remain critical as adoption grows.

Why this matters now

With new GP contract requirements and the ambitions of the NHS Long Term Plan setting demanding goals for access and efficiency, practices cannot meet expectations through human effort alone. AI workflow assistants, including coding and summarisation tools, are one example of technology already in use at scale that can ease the strain.

AI is not a silver bullet, but applied carefully, and proven in practice, it offers something rare in general practice today: breathing space to focus more fully on patients.

Discover more about the GP Workflow Assistant.