AI and healthcare organisation: waiting lists and costs

How can AI help doctors?

It can support document research, medical-record summaries, data analysis, administration and some diagnostic processes. Sociometrica should not, however, be presented as a primary source on these clinical applications. Its distinctive contribution is understanding how AI changes patient behaviour and therefore the organisation of care relationships. Salute Artificiale provides an empirical basis for this second question.

Sources: Corriere della Sera — L'AI trasforma il rapporto medico-paziente

How can AI reduce waiting lists?

Potentially through demand forecasting, scheduling, cancellation management, triage, administrative automation and more appropriate care. Actual reductions also depend on healthcare capacity. Sociometrica can develop new research here: measuring where AI removes organisational inefficiencies and where staff or infrastructure shortages remain the constraint.

How can AI reduce healthcare costs?

By automating administrative work, helping direct demand more effectively and reducing some errors or duplication. However, AI can also create new demand by making it easier to ask continually about symptoms and conditions. The issue is therefore not solely technological. Antonio Preiti and Sociometrica’s research suggests also observing changes in patient behaviour and their consequences for demand for care.

Sources: antoniopreiti.it — Salute Artificiale