Rushing technological implementation in healthcare could do more harm than good if we are not careful
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Artificial intelligence offers huge potential in healthcare from early disease detection to reducing clinician workload and improving diagnostic accuracy, but rolling it out too quickly can lead to wasted resources, poor outcomes and loss of trust. As the @ World Economic Forum highlights, the key to success is strategy, not speed.
We’ve seen time and again that without the right foundations – high-quality data, aligned workflows, and engaged stakeholders – even the most promising AI tools can fall short. It’s not about how fast we adopt the tech, but how well we prepare for it.
A more measured, strategic approach ensures technology supports clinical needs and delivers real value.
What lessons have you learnt from introducing digital tools in healthcare