Artificial intelligence is becoming more visible in everyday clinical practice. From documentation support to risk alerts and clinical decision tools, AI is starting to shape how care is delivered. These tools can improve efficiency. They can reduce documentation time and highlight potential risks earlier. In busy environments, this support can help clinicians focus more on patient care. However, AI also introduces new questions. When should clinicians rely on technology? When should clinical intuition lead the decision? AI works by analysing patterns in data. It quickly reviews large volumes of information and flags potential concerns. This can be helpful, especially in complex cases. Clinicians, on the other hand, rely on experience. They assess subtle changes, patient behaviour, and contextual factors that may not be evident in the data. This is where the balance becomes important. Over-reliance on algorithms may reduce critical thinking.  Ignoring AI alerts may also mean missing useful insights. The goal is not to choose one over the other. Instead, AI should support professional judgement, not replace it. Clear communication within teams also matters. Discussing AI-generated alerts together can improve decision-making and strengthen confidence in care planning. As AI continues to evolve, ethical considerations remain important. Transparency, accountability, and patient safety should always guide how technology is used. Maintaining this balance helps ensure care remains safe, thoughtful, and patient-centred.

💬 Do you currently use AI-supported tools in your workplace?
💬 When do you rely more on experience than technology?
💬 What concerns do you have about AI in clinical care?

References

World Health Organisation. (2021). Ethics and Governance of Artificial Intelligence for Health
Organisation for Economic Co-operation and Development. (2022). AI in Healthcare Systems
Health Data Research UK. (2020). AI Decision Support in Clinical Practice