Personalizing healthcare
in the age of AI
Healthcare leaders are navigating a fragmented, high‑stakes landscape
Healthcare systems worldwide are under growing strain, driven by rising costs, capacity constraints, and increasingly complex patient needs.
Hyper-velocity outside demands hyper-agility inside
11 million health workers shortage worldwide, expected by 20301.
84% of healthcare leaders think AI will fundamentally transform job roles this year2.
10.3% average rate of projected spending increase for global healthcare3.
Strategic recommendations for decision-makers
Target low-hanging fruit for the first pilot
Start where impact is meaningful, measurable, and trusted, and focus on repetitive or manual workflows that strain clinicians and staff.
Target meaningful outcomes to prioritize further investment
Move beyond isolated pilots and leverage initiatives that improve patient outcomes, clinician experience, and operational performance at scale.4
Take a people-first approach to drive adoption and impact
Foster transformation and focus on trust, skills, experience, design, and change management to drive adoption and sustained impact.
Scale securely with trust and governance
Leverage strong data architecture, governance, and security as patient safety imperatives and safety imperatives, as opposed to technical choices.
