Dipak Nandi: How Artificial Intelligence Can Reshape RCM

Catering to some of the major pain points in revenue cycle management (RCM) artificial intelligence today has guaranteed better revenue generation.  Challenging the manual technique, artificial intelligence improving the speed ensures much more accurate results which also further enables the quick and efficient process to increase productivity rate as well. It is inevitable that a medical billing process will have errors. In fact, a recent report stated the billable codes have now crossed a total number of 70,000+.

Artificial Intelligence

 Most healthcare providers are struggling with not only documentation that is needed during the medical billing process but also codes and coding which is ever-changing and continues to exist and impact the bottom; artificial intelligence comes as a blessing ensuring a better revenue cycle management process. 

Today with the increasing healthcare cost and rising wages cost artificial intelligence has become a vital aspect in reducing not only the operational cost but also the time that healthcare practices often end up wasting on a rework of claims, rechecking, finding codes documentation, etc. 

Helping to detect missing charges before claims are filed or submitted artificial intelligence also ensures the complete claim to be filed and paid in a timely manner as well. In fact, Artificial Intellenges in revenue cycle management can be used for most of the prior authorization process which is often time-consuming and difficult to maintain. 

Dr. Dipak Nandi, who is also a recipient of several entrepreneurial awards, A proud member of the prestigious AIIMS alumni, and a board-certified psychiatrist; today has been involved across the United States and India with key strategic initiatives in healthcare services like medical billing and telemedicine who in this pandemic seeing an increasing growth and demand in the mental illness observed, today the Artificial intelligence is not only the future of the healthcare industry but a way to provide a better RCM in lesser time and with lesser resources.  

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