Automated reimbursement with the help of AI

90% time saved with NLP-supported document processing

Digitizing and processing printed medical invoices using content recognition software and AI for the IT-Services GmbH of the Austrian Social Insurance Institutions.

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Going paperless

The Austrian public health insurance providers were facing a steadily increasing paper load due to private medical practitioners’ invoices. Cloudflight and IT-Services GmbH (ITSV) implemented a solution that semi-automates the processing of these invoices. Now, employees only have to check and confirm the results.

3 %

more submissions per year can now be handled by the same staff

41 %

time savings for data entry per case

9,200

working days saved per year

The challenge

Manual processing: slow & inefficient

Until now, the clerks of the Austrian health insurance providers had to process the private medical practitioners’ reimbursements manually to extract the relevant information such as practitioner, patient, treatment, and costs. For this process, cases are increasing by 8% annually. This has led to an ever-increasing backlog in processing for many insurance companies.

The solution

Picklist, automated document processing

The clerks should be supported by automatically extracting and validating the information from the invoices. Manual entry is then eliminated, only the verification of the information needs to be done. This should be made possible by:

• Machine text recognition in combination with content recognition through computer vision, natural language understanding, and machine learning
• Creation of a highly scalable system for processing large amounts of data

Our approach was to deploy Picklist, our AI-based solution, that enables automated processing of documents. This significantly reduces errors, saves time and costs. Watch the video to see how our customers can save up to 20,000 working days per year!

This is how our modular, automated system works

The clerks are relieved of all steps that can be automated, as the individual components such as text recognition, entity recognition or post-processing communicate with each other in a decoupled manner via queues. The system is both scalable and fault-tolerant. The result of the processing is visible in a modern web interface and the data can still be corrected for special cases before the costs are reimbursed.

The capabilities of Machine Learning

We taught the system to find the required content in differently structured medical invoices in order to process them automatically. The machine learning part of the application was continually tested against a wide variety of metrics during development. This ensured that the recognition of future, never-before-seen documents works reliably.

Digital archiving as an add-on

In addition to digitalization of the reimbursement process, we introduced digital archiving of documents. These now only need to be kept digitally. A positive side effect was that employees were enabled to work securely from home for several months during the Covid 19 lockdown starting in March 2020.

Our partner

ITSV GmbH is our implementation partner in this project. As an innovative technology company, they manage and coordinate the IT activities of the Austrian social security system.

Let’s talk!

Interested in getting rid of dated paper usage?

Johanna Keil

Johanna Keil

Industry Leader Public Sector

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