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Medical Imaging at Scale

A Practical Guide to Predictable Storage Costs

Imaging volumes in health systems grow every year. The storage contracts meant to support them often don't.

Most organizations manage capacity-based agreements that become harder to predict as data compounds year over year:

  • Annual contract renegotiations

  • Capital planning that's a negotiation, not a projection

  • No long-term budget certainty for imaging infrastructure

A price-per-study model offers a different approach. Instead of purchasing raw storage capacity, organizations pay based on study volume - the same unit their PACS and VNA systems already measure in. Contract pricing locked for five to ten years means the number you plan around today is still the number you're working with in year eight.

In this session, experts from Everpure, Paxera Health, and Merge will discuss:

  • The economics of a price-per-study model

  • How it integrates with existing PACS and VNA infrastructure

  • What the transition from capacity-based to study-based pricing looks like in practice

If you are responsible for imaging infrastructure, storage contracts, or multi-year IT budget planning - this is a conversation worth your time.

panelists

Erik Nystrom

Erik Nystrom

Principal, Enterprise Imaging

Pure Storage

Matt Coletta

Matt Coletta

Senior Technical Consultant

Merge

Larry Sitka

Larry Sitka

EVP & CISO, Enterprise Imaging & AI

PaxeraHealth

host

Sarah Richardson

Sarah Richardson

Principal

229Project

Sponsored by

Everpure

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