Unlocking the Power of Deep Learning to Transform the Healthcare Revenue Cycle Management

PCMS.AI

PCMS.AI is a cloud based web solution delivers an industry leading 98%+ clean claims rate using Artificial Intelligence. Our application analyzes both structured and unstructured data throughout the claim cycle to enable machine recommendations based on trained models resulting in reduction of erroneous decisions.

Identifying causes why claims get rejected?

Our data scientists developed state of the art Machine Learning Algorithms to discover hidden patterns in the claims and payment data

Our system accumulates the claims data and work on the deep neural network architecture

Expose the system to iterations and test the performance

Succesful delivery, which results ROI

01 Identifying causes why claims get rejected?

02 Our data scientists developed state of the art Machine Learning Algorithms to discover hidden patterns in the claims and payment data

03 Our system accumulates the claims data and work on the deep neural network architecture

04 Expose the system to iterations and test the performance

05 Succesful delivery, which results ROI

Deep learning

Deep learning helps exceed human accuracy in predicting the cash flow for the claims submitted using algorithms in PCMS.AI.

The deep learned predictor of your claims made with deep knowledge of CMS standards and commercial payers.

We create revenue cycle solutions to the healthcare providers such as clinics, hospitals, ACO’s, IPA’s. We have developed our own deep learning healthcare analytics tools that will yield new personalized solutions for revenue cycle and hospital management. We sell or license deep learning algorithms and solutions in the healthcare space.

OUR AI-TEAM

Dr.C.RAGHAVENDRA RAO

Principle Architect - Data Science

Dr. Rao is a member of the Operation Research Society of India, Indian Mathematical Society, International Association of Engineers, Society for development of statistics, Andhra Pradesh Society for Mathematical Sciences, Indian Society for Probability and Statistics, Society for High Energy Materials, International Rough Set Society, Indian Society for Rough Sets, ACM and also a Fellow of The Institution of Electronics and Telecommunication Engineers , Society for Sciences and Andhra Pradesh Akademi of Science. He is a Senior elected member for International Rough Set Society 2016.


Books in his credit are :
Multi-disciplinary Trends in Artificial Intelligence: 8th International Workshop, MIWAI 2014’, Bangalore, India, December 8-10, 2014, Proceedings, 8875, Co-editors Murty, M Narasimha; He, Xiangjian; Weng, Paul published by Springer.

Please visit Dr. Rao’s Research Publications:-

Swaroop Kallakuri

Data Scientist/Enterprise Data Architect

Swaroop Kallakuri is a Enterprise Data Architect and a Data Scientist with 16+ years of experience in Architecting Data, Data Warehousing Machine Learning, statistical modeling and successfully delivered large scale projects. He is a Design Thinking Certified Professional from Stanford University, Data Science certification from John Hopkins University, Tackling Challenges with Big Data Massachusetts Institute of Technology.


Swaroop has authored several patents and books:

(1).Tools and methods to migrate a Data warehouse to Hadoop echo system (Patent Pending) (2).Tools and Methods to convert Data Warehouse Queries to NoSQL (Patent Pending) (3).Python Programming for Data Science, Kindle Direct Publishing, 2017 (4).Learning R for Data Science, Kindle Direct Publishing, 2017 (5).Deep Learning Applications, Kindle Direct Publishing, 2017.

Kaggle Competitions:
Coupon Purchase Prediction: Standing in top 25% of the contestants.
He stands in top 1% of Data Science Professionals in the Kaggle Community of Data Scientists

OUR TEAM

Venkat Garikapati

Chief Executive Officer

Venkat is a successful serial entrepreneur,He is leading the development of Scottline Health’s core products and infrastructure. He serves as the principal solution architect and product visionary for the company’s cloud-based big data warehousing and Business Intelligence applications.

Hima Kiran Arimanda

Product Architect

Hima Kiran Arimanda is the Platform architect for PCMS.AI. He has over 21 years of experience in building decision systems, large scale data processing engines,architecting Deep Learning systems.Some of his AI projects involved building autonomous battle fields robots funded by DOD.

Kris Murthy

Executive Vice President

35+ years combined experience in Business Development, Corporate Management, Leadership, Operations, Personnel, General Administration, Technical Sales, Customer Service, Project Management and International Operations in National and Multinational Corporations, in Information Technology & Hospitality.

Pallab Jati

Data Integration & Security Architect

For more than a decade, Pallab Jati has helped corporate organizations drive growth and achieve success through proven skills, innovative strategies, deep learning, big data and bottom-line results. As Data Integration & Security Architect, he developing and executing strategies for product development.

  1. Is CPT 99371-99373 are still being used by BWC?

  2. No,Sarah.They have not adapted the new CPT codes yet.

  3. Can i bill the 99211 with the nurse seeing the patient?