Boost Revenue Cycle Performance: How image recognition technology transforms implant capture

OR usage data is vital management information that has the power to maximize revenue and reduce costs. Last month IDENTI held a webinar that looked at the critical documentation challenges facing inventory management in healthcare, particularly achieving integrated supply chain management in the surgical setting.
Our webinar delved into the challenges faced by healthcare providers when it comes to ensuring point-of-care systems achieve complete and accurate utilization data.
The objectives of the webinar were:
✅ Learn how image recognition boosts OR documentation, vital for effective healthcare management.
✅ Discover how AI and image recognition overcome providers' utilization hurdles
✅ Dive into AI's power in revolutionizing revenue capture
✅ Intro to "Snap & Go," game-changing 'image to data' technology
A short promo video showcasing Snap&Go can be found here: • SNAP & GO - Inventory ...
See the real-time speed of item capture and documentation in this very short clip. Once the green light comes on, the item is documented: • Snap & Go for procedur...
For further information on Snap&Go contact [e-mail]
Timestamp:
00:00 Introduction
00:52 Webinar Objectives
01:25 The Cost of Poor Surgical Documentation
03:55 The Story of Trauma Cases and surgical documentation challenges and related costs
07:09 Allergan Textured Breast Implant Recall in 2019 - patient safety implications of poor documentation
09:40 Why do Hospitals Fail to Collect 100% Usage Data at the Point of Care (PoC)
17:23 The Image to Data Revolution
22:15 Precise Surgery Pricing and Financial Decisions
29:56 Snap & Go product usage documentation using image recognition at the point of use
36:12 Case study Heart Vascular and Leg Center - using Snap & Go
39:00 Q&A from webinar attendees
Let's look at some of the key messages of the webinar - below is transcript from the webinar:
The Cost of Poor Documentation:
If documentation is problematic then this can impact various aspects of healthcare delivery, including patient safety, revenue cycle reconciliation, and inventory control.
* Revenue Cycle Reconciliation: A report from the HFMA reveals that U.S. hospitals lose an average of 1.5 billion dollars due to uncaptured medical products.
* Supply Chain Inefficiencies: Another HFMA report highlights that an individual hospital incurs an average cost of $1.3 million per year due to hospital supply chain inefficiencies.
* When we consider the bigger picture, the impact becomes even more significant, and with a $7.7 billion price tag. It affects revenue cycle, supply management, physician preference cards, item master issues, contracting, regulatory compliance, and the cost of lawsuits.
Challenges in Surgical Data Collection:
Four Key Factors: We’ve identified four main factors contributing to this problem.
* There is a heavy reliance on nurses to collect data during procedures. Mostly, the nurses don’t see data collection as their job, their role is patient care. From one side, we need nurse support in this task, but on the other we need to reduce the administrative workload and enable nurses to focus on the patient.
* The dependency on barcodes is an issue in hospitals. Typically, when nurses barcode scan an item, they struggle.
* Point of care software. Imagine you are a nurse, standing in the operating room, using EPIC, McKesson, Cerner, all of this complex software. You need to select from a drop down here, and fill in information there, you need to enter the batch data, the expiration date. The complexity of the software is an issue. Nurses need system training, but they are always changing shift, changing location.
* Hospital Item Masters are often not up to date and if you want to read the manufacturer’s reference number and then associate it to the hospital’s reference number it just a very complex task. When the nurse tries to report something to the patient, in many cases she gets a message on the screen that the item is not in the database.
Snap & Go uses image recognition technology and AI as a next-generation tool for data collection in surgery. It's a 3 second task with automated item identification and seamless documentation into the EHR and hospital systems.
See the real-time speed of item capture and documentation in this very short clip. Once the green light comes on, the item is documented: • Snap & Go for procedur...
Further information on Snap&Go contact [e-mail]
IDENTI provides hospitals, medical providers and international logistics companies with advanced data sensing solutions that collect data and converts it into critical business information you can use to predict performance and future activity.
With hundreds of installations worldwide utilizing multiple technologies such as AI, Machine Learning, RFID, Image recognition and IoT, IDENTI is revolutionizing the medical supply chain.