What’s inside:

Charge capture in OR and procedure rooms underpins optimized hospital revenue and performance.

We look at:

  • OR Revenue in healthcare
  • Surgical data capture challenges in the OR and procedure rooms
  • Automated utilization documentation
  • Video short of Snap&Go image recognition sensor’s charge capture capabilities.

Operating rooms and procedure rooms are the primary revenue generators for hospitals and ambulatory surgery centers. As a result, accurate data collection and automated charge capture at the point of care are critical to financial performance. Yet many healthcare organizations still rely on clunky workflows, inefficient tools, and manual documentation processes that create data gaps and revenue leakage in the OR.

To optimize OR revenue, every supply, implant, and device used during surgery must be captured accurately and in real time. Automated charge capture ensures this utilization data flows seamlessly into the EHR, enabling complete, accurate, and timely billing across the revenue cycle.

 

Why Automated Charge Capture Matters in the Operating Room

Manual charge capture processes struggle in the fast-paced, high-complexity surgical environment. When documentation is delayed or incomplete, hospitals experience missed charges, billing delays, and margin erosion. Automated charge capture eliminates these risks by capturing utilization data at the point of care, without adding documentation burden for perioperative staff.

With AI-powered automated charge capture in the OR, healthcare providers gain reliable case-level data that supports accurate reimbursement, stronger revenue cycle management, and improved financial visibility.

Surgical Data Capture Using AI and Image Recognition

Point-of-use image recognition technology, Snap&Go™, is transforming how surgical data is captured in the operating room. AI-powered computer vision enables automated charge capture by identifying supplies and implants as they are used, even in complex and dynamic surgical workflows, and for items that may not be pre-loaded in the item master.

Image-based automated charge capture replaces inefficient manual data entry and barcode scanning, which often fail in sterile or time-sensitive environments. By simplifying utilization documentation, nurses can focus on patient care rather than products, while hospitals gain consistent, high-quality charge data.

Automated surgical charge capture is a foundational component of modern revenue cycle management. When utilization data is captured accurately and immediately, billing teams can submit cleaner claims faster and reduce revenue leakage.

Automated Product Identification in Surgery

Snap&Go™ powers automated charge capture in the operating room using AI-driven image recognition and a global SKU database. This enables automated item identification that is independent of the local Item Master, ensuring accuracy even when products change or vary by procedure.

Snap&Go™ seamlessly documents surgical utilization directly into EHR, ERP, and MMIS systems, supporting downstream operational and financial workflows without manual intervention. The result is reliable, real-time charge capture that scales across surgical services.

In the short video below, we demonstrate how Snap&Go™ enables automated charge capture at the point of care in real surgical environments.

 

Talk to our team about Snap&Go and AI-powered automated charge capture can help your hospital eliminate revenue leakage.

 

FAQ: Optimizing OR Revenue: Automated Charge Capture & RCM Solutions

Automated charge capture uses AI and image recognition to automatically document supplies, implants, and devices used during surgery, eliminating manual data entry and missed charges.

By capturing utilization data in real time at the point of care, automated charge capture prevents revenue leakage, accelerates billing, and improves reimbursement accuracy.

Yes. As an automated charge capture solution, Snap&Go integrates with EHR, ERP, and MMIS systems, ensuring that surgical data flows directly into the patient record and billing system to support downstream revenue cycle workflows.

It eliminates the frustration of “Item Not Found” barcode errors. With Snap&Go, nurses simply place the item under the sensor, and the AI handles the rest. By removing manual tasks from surgical charge capture, nurses reduce time spent on administrative functions and can focus instead on patient care. Automated charge capture also prevents the ripple effect of incomplete or missed charges, which has a wider impact on hospital teams.

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About the author

Sharona is Marketing and Content Manager, charged with telling the world about IDENTI Medical, and its range of data sensing solutions. Sharona has worked in a range of industry settings, including healthcare organizations and SAAS companies. Sharona is also responsible for organizing network events across the US, creating opportunities for healthcare professionals to meet the team and see our products in action.
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