RAAPID Introduces AI-powered Risk Adjustment Software-Raapid.ai
healthcaretechoutlook

RAAPID Introduces AI-powered Risk Adjustment Software-Raapid.ai

Healthcare Tech Outlook | Tuesday, January 25, 2022

Raapid.ai is a software-based on a deep learning algorithm that helps healthcare organizations determine risk adjustment strategies and become more accurate and efficient.

Fremont, CA: It isn't easy to find good healthcare. Obstacles such as inefficiencies and inaccuracy frequently arise when it comes to HCC Risk Adjustment. Not to mention the failed audit reports and other legal ramifications of the Centers for Medicare and Medicaid Services being repaid (CMS). This is only the tip of the iceberg in terms of possibilities. Despite government efforts, every healthcare system worldwide is grappling with rising costs and unequal quality. It's time for a whole different approach. Raapid.ai has created cutting-edge NLP (Natural Language Processing) technology that is based on Deep Learning algorithms. All health issues must be carefully recognized, handled, and documented annually via claims filed to the government for compensation in order to construct a complete, accurate RAF for patients.

RAAPID assists organizations in calculating reimbursements and risk adjustment scores. The unique technology has been trained on millions of real-world clinical charts and consistently produces correct results. You won't miss out on HCC codes or RAF score opportunities with this AI-powered Risk Adjustment Software.

Traditional risk management is ineffective. Coders scan through thousands of pages of patient data looking for chronic diseases that have been noted. However, this isn't the most efficient or effective method. The most difficult implementation difficulties are data completeness and quality. They can't determine how their risk adjustment strategy is doing in general or identify methods to improve as an organization without data.

This transformation is a multi-step process rather than a single action. The "Risk-Taking Belief" is a term coined by RAAPID, which combines the latest advances in machine learning, artificial intelligence, natural language processing, data science, and data engineering with deep clinical and biomedical expertise to create tools that enable health systems to become more efficient, effective, and error-free.

"The risk-taking belief" begins with a commitment to meeting every customer's needs while promoting the safety and wellness of millions worldwide. "We are reimagining risk adjustment for healthcare, insurance, and technology businesses," comments Chetan Parikh, Founder and President RAAPID.

 

 

 

 

Weekly Brief