
Bridge the Data Divide to Power Healthcare Innovation
AI brings exciting possibilities, but data problems block progress:
- Less than 48% of healthcare and life science organizations describe their data strategy as fully mature
- 91% struggle to access needed data
- 85% make decisions based on inaccurate data
Do you have a clear path to face those challenges?
Download the free report for:
- A roadmap to strengthen your data foundation and get AI-ready
- Best practice case studies on building better data systems
For example, one AI system improved decision-making by automatically identifying and documenting comorbidities from patient records.
It processed 140 patients per day, identifying 47 comorbidities with a high accuracy (TPR of 0.88).