Surgical services drive up to 70% of hospital revenue, yet the data used to manage them is often incomplete. The same gap shows up in high-cost procedural areas like EP and cath labs.

This whitepaper examines why the documentation gap has persisted, how computer vision capture works differently, and what health systems have achieved making the switch.

What you'll learn:

• Why barcode, RFID, and other bolt-on tools fall short in active clinical workflows
• How computer vision capture creates a reliable data foundation without adding clinical burden
• How health systems like Allina Health and Owensboro Health closed the gap, including a 12% net revenue increase across 16 ORs, 201% more chargeable products captured in the EP lab.
• Four questions every perioperative and procedural leader should ask before investing in a new AI solution

Who it's for:

Perioperative leaders, cath lab and EP lab directors, supply chain leaders, and financial leaders responsible for revenue integrity, supply visibility, and operational performance across high-cost procedural environments.