The use of artificial intelligence in clinical practice is a developing area that offers opportunities to support healthcare professionals in managing patient information and streamlining triage. However, doctors must exercise caution and ensure that any digital tool used is formally approved for use within the NHS. While AI can assist in navigating symptoms or synthesising clinical data, it remains a supportive technology that is intended to augment, rather than replace, the independent professional judgement and accountability of a qualified clinician.
What We’ll Discuss in This Article
- The regulatory requirements for AI in the NHS.
- Understanding the Digital Technology Assessment Criteria.
- Maintaining clinical accountability when using digital tools.
- Recognising the limitations and risks of AI outputs.
- How to access NHS-approved digital health technologies.
Regulatory requirements for AI in the NHS
Any artificial intelligence tool introduced into a clinical environment must adhere to rigorous national standards to ensure patient safety and data security. The NHS requires that all digital health technologies undergo a formal assessment process before they are commissioned or procured by healthcare providers. This ensures that the technology is clinically safe, technically secure, and capable of operating within the complex infrastructure of the health service. Clinicians should only use tools that have been provided or explicitly approved by their organisation, as these systems come with the necessary technical support, maintenance, and cyber-security frameworks required to protect patient records.
The Digital Technology Assessment Criteria
The Digital Technology Assessment Criteria (DTAC) is the national standard used to evaluate whether digital health technologies meet the requirements for use in the NHS and social care. It assesses tools across five core domains: clinical safety, data protection, technical security, interoperability, and usability and accessibility. By ensuring that a platform meets the DTAC standards, commissioners and providers can be confident that the digital tool is fit for purpose and provides a consistent benchmark for safety and effectiveness. Doctors and healthcare organisations are responsible for verifying that any software they implement for patient care has a completed and up-to-date assessment.
Maintaining clinical accountability
A fundamental principle of digital health is that the clinician remains responsible for the care of the patient, regardless of the technology used to assist in the process. AI-generated outputs, such as triage suggestions or clinical summaries, must be reviewed and verified by a doctor before being acted upon. This process prevents automation bias, which is the tendency to over-rely on computerised recommendations at the expense of independent professional judgement. It is the role of the clinician to correct errors, validate alerts, and ensure that all documentation is accurate before it is saved into the patient’s permanent medical record.
Recognising limitations and risks
All digital tools have limitations, and clinicians must be aware of the specific risks associated with AI, including the potential for biased outputs based on the training data used to develop the model. Before using a tool, doctors should critically assess its scope of use and the available evidence regarding its efficacy. Furthermore, any information shared with an AI platform must be handled in accordance with the principles of data protection and patient confidentiality, ensuring that patients provide informed consent if their personal data is involved. If a tool does not provide clear information on its safety, evidence base, or data handling, it should not be used in a clinical capacity.
Conclusion
Doctors may use AI-based tools when they are officially approved, formally assessed, and integrated into secure NHS systems. The technology must always function as a supplement to, and never a substitute for, the clinician’s independent expertise and patient-centred care. Always verify that a tool meets national safety standards before incorporating it into your clinical workflow. If you experience severe, sudden, or worsening symptoms, call 999 immediately.
FAQ
Are all symptom checkers suitable for use in a GP surgery?
No, only tools that have met the national Digital Technology Assessment Criteria are approved for formal clinical use within the NHS.
What should I do if an AI recommendation contradicts my clinical assessment?
You must always trust your own professional judgement and the direct assessment of the patient over an AI-generated suggestion.
How do I check if a tool is safe for clinical practice?
You can verify if a tool has been assessed through your trust or organisation’s approved software catalogue or by checking for compliance with the NHS Digital Technology Assessment Criteria.
Is it my responsibility to explain AI use to the patient?
Yes, clinicians are responsible for ensuring patients are informed about the use of any technology in their care, including its purpose, benefits, and risks.
Can I use a commercial app if I think it is helpful?
You should not use commercial apps for clinical decision-making unless they have been formally procured and approved by your healthcare organisation.
Authority Snapshot
This article outlines the governance and clinical responsibilities associated with using digital health technologies in the NHS. It was authored and reviewed by Dr. Stefan Petrov, a UK-trained physician with experience in intensive care and medical education. The content is maintained in strict alignment with NHS and NICE guidance regarding the safe and responsible adoption of digital health tools.
