There is an abundance of enthusiasm for the potential of AI applications to transform healthcare. But even when a pilot succeeds, the challenging task of advancing the technology to implementation varies at each institution. A new report from Nordic, a global health technology and consulting firm, highlights the findings of its AI readiness survey, produced in collaboration with Modern Healthcare. The report notes that the factors behind successful and unsuccessful implementations are based on alignment across infrastructure, governance, data, and workforce training. “If you do not define what ‘good’ looks like and who owns the outcome, you cannot reliably evaluate whether a tool is working after go-live,” according to the report. Among the topics covered by the report are: Data ownership and avoiding inconsistencies The need for a minimum viable governance model Warning signs for workflow problems Insights on Nordic’s hands-on experience with AI readiness, governance, data, workforce capacity, and workflow design Links to additional research on AI
