The Cost of Missing Data
- 2 days ago
- 1 min read
We have more healthcare data than ever.
So why do important questions about patients remain unanswered?
Patients with the same diagnosis can have very different outcomes, treatment responses, healthcare utilization, and costs. Diagnosis alone does not explain the difference.
What is often missing is patient context.
Multimorbidity. Treatment history. Access to care. Care pathways. Social and environmental factors.
When these details are absent, evidence can tell us what happened without fully explaining why.
That gap can influence clinical development, health economics, market access, and commercial decisions.
Our latest Evidence Brief, The Cost of Missing Data, looks at what happens when the patients behind the data are only partially visible, and why representative evidence requires more than simply collecting more information.
Download the full Evidence Brief to explore where the gaps are and what they could mean for better evidence and better decisions.
