Data & Analytics, Explained: The 2026 Field Guide
What data & analytics covers, why it matters in 2026, and the numbers decision-makers should know.
If one theme defines digital health in 2026, it is the maturing of data & analytics. Clinical analytics, population health data, and decision intelligence. This explainer sets out what the category actually covers, why it has moved to the center of health it & interoperability strategy, and the numbers every decision-maker should have at hand.
What it covers
Clinical analytics, population health data, and decision intelligence. In practice, that spans the vendors building the technology, the health systems and payers deploying it, and the regulators writing the rules around it. The category sits inside our broader Health IT & Interoperability coverage, and its daily developments stream into the live Data & Analytics feed.
Why it matters in 2026
Consider the current numbers: healthcare suffered 410 ransomware attacks in the first half of 2026 - 2.3 per day, up 14% year over year (our coverage).
Meanwhile, the CPT 2026 code set formally recognizes remote monitoring and AI-assisted diagnostic services (our coverage).
Meanwhile, tEFCA crossed one billion exchanged health records this summer, up from 10 million in under a year (our coverage).
What to watch next
Three signals will tell you where data & analytics goes from here: the reimbursement decisions now moving through CMS and commercial payers, the consolidation pattern as larger platforms absorb point solutions, and the evidence base - peer-reviewed results increasingly separate durable categories from demo-ware.
The bottom line
As with every wave before it, the technology is necessary but not sufficient - workflow, incentives, and trust decide the outcome. For the latest developments, follow our continuously updated Data & Analytics topic page.