Holding a Master of Science (MS) degree from the University of Massachusetts Lowell, Chetan Parikh is a speaker and a thought leader on the effective use of AI and NLP in the healthcare industry. He has contributed to the literature of healthcare professionals by engaging in numerous webinars and speaking opportunities with HFMA, ACDIS, and AHIMA. Parikh is a firm believer in the abilities of technology to change the world, ‘SAVE LIVES’ by leveraging ‘Healthcare Informatics Technology’ and making the world a better place for all of us. Parikh co-founded EZDI, Inc, which is now acquired by AGS health. In addition, Parikh is also the chief operating officer (COO) at Mediscribes, a medical transcription company based in Metro Louisville, KY, and the board member of Shaip Inc. which enables the on-demand scaling of platform, processes, and people for Fortune 500 companies with the most demanding machine learning (ML) and artificial intelligence. Parikh’s latest venture RAAPID is the next-gen NLP-powered risk adjustment medical coding solution. It offers automation for the health care risk adjustment HCC coding workflow to ensure faster and more accurate chart patient chart review and audits performed by payers and medical coding companies.

The Power Of AI Technology In Risk Adjustment Coding For Healthcare

The ever-evolving Healthcare Effectiveness Data and Information Set (HEDIS) metrics are continuing to demand Medicare Advantage (MA) organization’s attention to improve patient care while reducing costs for the overall healthcare ecosystem. Healthcare payers either earn great incentives or get penalized while submitting risk adjustment factor (RAF) scores, also known as, RAF scores to the Centers

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