The challenge
Hospitals and governments want to know where AI investment pays back. Evidence on cost savings is scattered across diagnosis, treatment and operations.
Our approach
- Review the evidence on AI cost savings in diagnosis and in treatment.
- Compare where savings arise and what drives them.
- Outline what health systems should measure when adopting AI.
The solution
- Economic framework for AI adoption decisions
Results
- Published in Healthcare (MDPI), 2022, 10(12), 2493.
- Received MDPI Healthcare’s best paper award for 2022.
- Shapes how BigAI scopes the business case for healthcare projects.
Publication
Khanna, Maindarkar, Viswanathan et al. (2022). Healthcare, 10(12), 2493. View source
