Clinics can rely on accurate outpatient E&M coding and optimized revenue cycle management with R Systems' integrated approach. R Systems' innovative and automated iRCM solution revolutionizes revenue cycle management for over 150 clinics in Washington state. They have achieved outstanding results by managing a patient base of 500,000 and processing 1.5 million claims yearly. The clean claim submission percentage rose from 82% to 94%, resulting in shorter revenue cycles and fewer claim denials. Furthermore, the payment posting TAT has decreased to less than 24 hours, allowing our clients to receive timely payments while maintaining a healthy cash flow.

Implementing iRCM, we streamline billing, coding, and reimbursement processes for urgent care service providers. Continuing our partnership, we have implemented end-to-end iRCM solutions for a top 20 Urgent Care group provider in Atlanta, GA, handling $300M payments yearly and auditing 150K charts for CDI and Provider Education. Our mobile app streamlined provider feedback and education, raising revenue and coding compliance to 95%.

An intuitive Image Segmentation Solution that helps partition an image input into multiple segments for simplified image analysis. Backed by advanced AI services of AWS, the tool partitions a digital image into fragments based on various factors like pixel intensity value, colour, and texture. The solution leverages AWS Semantic Segmentation to collectively assign label(s) to every subdivided segment in an image surrounded by a bounding box.

In addition, it utilizes AWS Rekognition for detecting labels and categorising existing segmentation algorithm into region-based segmentation, data clustering, and edge-base segmentation.

Our Image Segmentation solution can be used across a broad spectrum of industries, including Robotics, Traffic Control System, Sports Analytics, Video Surveillance, Medical Imaging and Diagnostics, Autonomous Vehicles, Livestock Management, and Media & Marketing.

A Sagemaker R Kernel using customized collaborative filtering algorithm that delivers intelligently-generated product recommendations by extracting hidden insights around historical user-product interactions. It digs into similar type of products leveraging historical user ratings through correlation pointers.

Driven by machine learning, our interest-based recommendation solution leverages AWS Sagemaker to provide personalized recommendations for customers, and item based collaborative filtering to provide recommendations during a session. Moreover solution sends email notification alert to the user around product recommendation if it finds strong affinity and relationship with the user leading to higher sales for the business.

Businesses can predict what they want next; dynamically present tailored recommendations; and drive innovation on all fronts - integrating AWS SageMaker trained model into their existing process.

An automated data extraction solution that enables businesses to extract key-value pairs from scanned documents in no time. It massively cutbacks manual efforts required in processing forms and other documents into digital formats.

R Systems’ key-value based extraction leverages AWS Textract to extract text and data from virtually any document, AWS S3 to provide scalable cloud storage.

Form data extraction tool identifies contents of fields in all kinds of embedded forms, keeping the composition of extracted information completely intact.