Thought Leadership
Digital & AI in health system transformation
From digitisation to computability
Health systems now generate and store more information than at any point in their history. Records are digital, monitoring is continuous and analytical capacity is expanding.
Yet greater information has not automatically produced greater coherence.
In many institutions, digital capability has grown faster than the logic that gives it meaning. Data flows multiply and tools accumulate, while decision-making remains fragmented and coordination effort-intensive.
This section examines a different layer of transformation: not how work is organised, but how information supports that work.
It explores how sequencing, visibility and governance shape digital performance; why integration can increase complexity rather than reduce it; and what conditions allow information to reinforce reliability instead of amplifying variability.
As digital systems mature, artificial intelligence will increasingly influence prediction and optimisation. But algorithms depend on clarity of ownership, escalation and constraint. Where that clarity exists, intelligence compounds. Where it does not, complexity accelerates.
Digital transformation is therefore defined not by technical deployment alone, but by whether information enables deliberate coordination across settings, teams and time.
