Iris is quick to setup, easy to use and fast at processing CMS-1500 documents. Oh, and it's a fraction of your current processing costs.
Iris leverages Machine Learning and AI to read and infer data within documents at high accuracy.
Iris removes the burden of data extraction from human workers, enabling them to explore more fulfilling, engaging work.
Scan, review, score and QA your CMS-1500 documents in a unified portal
Iris can read data contained in distorted and noisy documents. It can even make intelligent inferences when data has not beenentered properly.
At its core, Iris CMS-1500 has been trained on a deep corpus of documents and is able to effectively ‘see’ the data, with much greater accuracy than other solutions.
Turnover rates can be very high in positions responsible for processing documents manually – resulting in high cost to recruit and retain talent, quality issues and heavy backlogs.
Standalone OCR has difficulty with even simple checkboxes and relies heavily on employees for QA. Additionally, OCR requires constant monitoring and configuration to remain optimized – incurring further costs.
Employees desire more fulfilling roles. Rote, manual data entry breeds disengagement. Further, high inaccuracy and slow processing times ensures bad customer experience.
Find answers to the common questions about Iris here.
Didn't find what you were looking for? Email firstname.lastname@example.org with your query and we'll get back to you.
Currently, Iris extracts data from CMS-1500 claim forms with 98% accuracy.
Internally, we are training Iris to also read UB-04 claim forms, medical ID cards, and invoices. Our Digital Coworkers have successfully automated these processes with a 95% straight-through processing rate, so we are confident in our technology. Our development team is hard at work expanding Iris’s capabilities so that these features and accessible for your team.
Do you have suggestions or feature requests? Please email email@example.com
You can upgrade your plan in-platform, or by contacting firstname.lastname@example.org
There are five possible statuses in the application:
With Iris, you only pay for what you use. The platform bills on a per-form basis, so you pay for each individual form at the end of the month.
Pricing varies by tiers (the threshold of how many forms you use) and plan (whether you are extracting information only, or adding scoring & QA capabilities).
Be sure to reference our pricing page for more information.
'Scoring’ is the first stage in the process where users can review the CMS 1500 image and the extracted data, and make any corrections to the extracted information in the editable form.
QA - or quality assurance - is the second stage where users can review the CMS 1500 image and edit extracted data.
The difference between Scoring and QA is that the documents in the QA stage will have been reviewed by users in the Scoring stage first.
Both Scoring and QA stages exist to ensure the information in the extracted data is accurate and as appears on the scanned image of the CMS 1500 form.
The Scoring stage is designed so that users on the Scoring team may check that the information has been correctly extracted. The QA stage is a final checkpoint and QA users ensure the Scoring users have not made any mistakes.
To ensure best practice, the Scoring and QA teams should consist of different users, so one user should not review the same form in both Scoring and QA stages. One set of users should have access to forms in the Scoring stage and another set should QA the forms.
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