Automated Revenue Cycle Management for a Technology-enabled Healthcare Services Company
Overview
The company is a leading provider of healthcare services solution in the USA with 25 years of experience in healthcare products. Also an insurance service provider, the Customer chose ACL Digital as a digital practice consultant for implementation of an integrated workflow application to improve revenue cycle management.
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Challenges
Difficulty in verifying health insurance eligibility for potential customers due to a lot of manual processes involved in medical coding and revenue cycle management workflows which led to:
Redundancy of the data
Manual Processing of the data and medical codes tagging
High Probability of human made errors
Solution
- The solution consists of a thermal camera to capture installation images, FLIR Image Extractor to obtain temperature, location and other metadata, a cloud for images storage, a cloud compute instance with a GPU, ML model to detect cables, a module to make decision to raise the warning flag or send notification
- Annotation of 25K+ images using makesense.ai tool providing polygonal annotation in PVOC annotation format
- The images will be used to train the ML model (Mask RCNN model) that is based on ResNet 101 architecture
- Mask is extracted based on the detection of electrical asset associated that helps to get the relevant temperature from the matrix
- Hotspot is then detected based on the ingenious algorithm
Outcomes
- Reduced errors
- Systematic file storage facility
- Easy data extraction through OCR tools
- 98% Reduction in Claim Processing Time
- 97% Accuracy Rate