Healthcare AI shifts from pilot projects to operational overhaul

Five capabilities convert AI insight into measurable results, including connected data.

Healthcare organisations are shifting from proving artificial intelligence (AI) works to redesigning operations around it, a report by Kearney Consulting said. 

Kearney said five capabilities convert AI insight into measurable results, including connected data, embedded intelligence, orchestrated workflows, human and agent operating models, and composable architecture.

Connected data addresses fragmentation across clinical systems, claims platforms, pharmacy systems, care management tools, and external data sources.

Kearney argues that unifying these into a single view of patients and populations reduces the lag between what is happening and what an organisation knows, though the firm notes connected data alone does not create value; it creates the conditions for better decisions.

The report also said embedded intelligence targets where AI recommendations surface. Kearney found that leading organisations push insights directly into existing workflows, rather than requiring users to consult separate dashboards or reports.

Further, orchestrated workflows coordinate activity across multiple systems and stakeholders.

Kearney points to processes like patient outreach, care gap closure, refill management, and prior authorisation, noting that improving a single step in isolation produces limited value compared with end-to-end coordination.

On workforce impact, the report cites examples already in use whilst providers retain oversight, and administrative processes are automated with defined escalation pathways for human judgment.