October  2026 • PharmaTimes Magazine • 22

// AI IN NHS//


Transformers (robots in disguise)

Ways the NHS is using digital and AI

1. Automating clinical documentation

AI-powered notetaking tools are already being used across thousands of patient encounters. Early NHS trials show these systems can automatically capture and structure clinical notes, giving clinicians more time with patients and reducing appointment length.

2. Improving triage and patient flow

Digital triage platforms in GP practices and urgent care settings help direct patients to the right service more quickly. AI-supported symptom assessment tools can prioritise cases, reduce waiting times and ease pressure on frontline staff.

3. Supporting diagnostic imaging

AI is increasingly used to analyse X-rays, CT scans and MRI images. These systems can highlight abnormalities, speed up reporting and support radiologists in detecting conditions such as cancer, fractures and lung disease.

4. Predicting hospital demand

Several NHS trusts use AI-driven forecasting tools to predict bed occupancy, emergency department demand and staffing needs. These models help hospitals plan more effectively and reduce bottlenecks in patient flow.

5. Enhancing pathology workflows

Digital pathology platforms allow tissue samples to be scanned and analysed using AI. This supports faster diagnosis, improves accuracy and enables remote review by specialists across the NHS.

6. Reducing administrative burden

AI-enabled scheduling, referral management and document processing tools are helping staff cut time spent on routine tasks. Systems can automatically sort documents, extract key information and streamline workflows across departments.

7. Supporting virtual wards and remote monitoring

Digital platforms and AI-supported monitoring tools allow clinicians to track patients at home. These systems can flag early signs of deterioration, reduce hospital admissions and support recovery outside traditional care settings.

8. Improving medicines management

AI is being used to identify patients at risk of adverse drug reactions, optimise prescribing and support pharmacy teams. Digital systems can analyse medication histories and highlight potential issues before they occur.

9. Strengthening cybersecurity and data protection

AI-based security tools help the NHS detect unusual network activity, identify threats and protect sensitive patient information. These systems continuously learn from new risks and support safer digital operations.

10. Personalising patient care

AI-driven analytics are helping clinicians tailor treatment plans based on individual patient data. This includes predicting disease progression, identifying high-risk patients and supporting more personalised interventions.