Charge capture optimization
Solve OR revenue loss with advanced AI tools
Prevent charge capture leaks, optimize revenue cycle management
Accurate OR utilization data is the foundation of charge capture, ensuring the inclusion of ALL billable charges in your healthcare organization's medical billing.
It’s time to face reality, point-of-use data capture technology regularly fails to record every consumed item, instead diverting nurses down a manual, keying-in process, that often leads to errors and data gaps. Are you ready to end the perioperative documentation burden and find new ways to optimize charge capture?
Aware of the limitation of their point of use systems, and keen to prevent claim delays and denials, providers often put in place post surgery documentation reviews and reconciliation exercises. But isn’t this addressing the symptom rather than the cause?
The truth is that lost surgical supply revenue requires a more proactive approach.
It’s time to leverage new AI charge capture technology to fix surgical supply revenue capture once and for all.
Poor surgical supply documentation costs US hospitals $7.7 billion annually.
AI charge capture can boost reimbursement by 10 – 30%
Streamlined processes can reduce perioperative documentation time by 30 – 40%
100% automated charge capture with AI vision
Snap&Go is the next-generation of POU data capture. This breakthrough solution is powered by computer vision and AI technology.
Central to its success is capturing a digital picture of each product’s packet or label, converting this image into data, and storing it in your system. All product data collected is routed through a global SKU data lake and is then reviewed by AI and machine learning algorithms. This innovative AI technology fixes any missing or incorrect data, ensuring every item is identified, verified, and fully recorded in your systems, such as the EHR, ERP, MMIS.
Using AI charge capture technology reduces the circulatory nurse’s role in supply documentation to a 3-second image-capture task, with the remainder of the process being fully automated.
No more data entry for nurses. No more typos, errors, or data gaps. AI-vision technology delivers point of use perfection in surgical supply records, ensuring 100% item documentation and full charge capture, before the end of surgery.
AI charge capture is optimizing revenue cycle management by ensuring every consumed item is recorded in the system in a timely fashion – facilitating full data integrity and smooth reimbursement.
AI and machine learning generates real-time metrics, reports and insights from complete and correct consumption data.
Global SKU database puts an end to system exceptions by tapping into a virtual item master for easier item verification.
Image recognition technology ‘reads’ product packets, labels and hand-written implant sheets, for reliable digital documentation.
Three vital elements of AI-vision charge capture technology:
Automated charge capture solution at the point of use
The image-to-data revolution
Snap&Go uses innovative AI and image-recognition technology to achieve full charting and charge capture. Welcome to the new era of effortless and effective surgical supply documentation.
AI-vision ends the reliance on your local Item Master – instead tapping into a global SKU data lake that has the power to recognizes and review every type of product – owned-stock, consignment, off-contract, and trunk stock – with each item seamlessly flowing into the EHR.
This automated AI charge capture solution is transforming perioperative documentation and optimizing patient records and medical billing.
Ensuring high quality data flows into your RCM workflows is a vital element of efficient revenue capture. AI-powered charge capture makes sure every consumed item is fully recorded, and flows into your revenue cycle management workflows.
Upgrade your OR charge capture accuracy with Snap&Go, your POU charge capture solution, using AI-image recognition technology for optimized revenue cycle management.
Stay ahead of the game with 100% item and charge capture.
Join the image-to-data revolution.
