The OR data gap: Why most AI investments fall short and what it takes to make them work
Surgical services generate up to 70% of a hospital's total revenue, yet the data used to run the OR is built on inputs that were never designed for an active surgical case. Implants, supplies and waste are tracked by circulating nurses whose first duties are patient safety, sterility and turnover. Documentation is the task that slips when a case runs long, and research puts the intraoperative error rate as high as 17%, climbing to 38.4% when recording is delayed more than 20 minutes.
The consequence is a widening gap between what happened in the room and the story the data tells. Undocumented products become unbilled charges. Bolt-on tools like barcode and RFID were meant to close the gap but add steps to a workflow already at capacity, so they get bypassed.
This whitepaper examines why the gap has persisted and what health systems achieved by capturing OR data differently.
Learnings include:
The consequence is a widening gap between what happened in the room and the story the data tells. Undocumented products become unbilled charges. Bolt-on tools like barcode and RFID were meant to close the gap but add steps to a workflow already at capacity, so they get bypassed.
This whitepaper examines why the gap has persisted and what health systems achieved by capturing OR data differently.
Learnings include:
- Why barcode, RFID and other add-on tools fall short in live clinical workflows
- How real-time capture builds a reliable OR data foundation without adding clinical burden
- How Allina Health and Owensboro Health closed the gap and what it returned
- Four questions every perioperative and procedural leader should ask before investing
Please fill out the form to download the whitepaper.