Lastly, Rajesh discussed the future of healthcare. “Health iPASS has been able to leverage technologies such as machine learning to study information available in medical billing systems and present this in real-time at the point of service through a user-friendly, easy-to-understand patient revenue cycle solution that brings a level of price transparency to the consumer on the front end.”
He mentioned how Health iPASS is taking advantage of the new technology to improve the revenue cycle for medical practices. Practices using the Health iPASS revenue cycle solution are recognizing 97% collection of residual balances when patients check in using the Health iPASS kiosk and place a CCOF. There needs to be a very consumer-friendly way to making the technology.” Rajesh mentioned, “Both consumer and state/federal regulatory demands are requiring practices to rethink their revenue cycle from the time of scheduling all the way through providing and promoting price transparency.”Īdditionally, Rajesh also talked about about the Health iPASS patient revenue cycle solution. That's why offering cost estimates pre-arrival, at point-of-service, at claim submission, and pre-surgery is critical to establish price transparency that builds patient trust and patient retention. Patients are also looking for greater price transparency and a breakdown of what they may owe for specific procedures once their insurance process the claim. We need to be getting more patients to believe in the billing process.” “Every patient that walks into their wonders how it will impact what comes out of their pocket,” said Voddiraju, “Trust has been sorely missing in healthcare.
Rajesh also discussed how as a result of higher out-of-pocket (OOP) costs, trust between provider and patient is more important now than ever. As a result, price transparency is becoming increasingly important in the revenue cycle. With the rise of HDHPs, patients are responsible for more of their medical bill. Not only does the CCOF help patients manage healthcare expenses, it can also significantly improve medical practice cash flow by quickly reducing days in accounts receivable (A/R). One that Rajesh mentioned, and Health iPASS uses, is allowing patients to keep a credit card on file (CCOF) to pay for any residual balances that may be owed post insurance claim adjudication. There are several different payment methods to ensure that practices are optimizing patient payments. Rajesh started the interview by discussing the fast rise of patient as the primary payer of healthcare expenses due to the sharp increase in high deductible health plans (HDHPs), and the fact that practices need to find a way to adjust accordingly. On the podcast, Rajesh touched on several topics related to the reality and after effects of patients now being the primary payer in revenue cycle management. When our team members need to know about the latest trends in medical practice revenue cycle management, he is always somebody that we can learn from.īack on December 31st, Rajesh was a guest on the eHealth radio podcast, " Tackling the New Dynamics of Patient Revenue Cycle Management in the Era of Healthcare Consumerism with Eric Michaels. and Healthipass Inc.Heath iPASS CEO Rajesh Voddiraju consistently offers fresh insights about the future of the patient revenue cycle and the most practical and economical ways to improve patient payments in healthcare. Health iPASS may also be known as or be related to Health iPASS, Health iPASS Inc, HealthiPASS Inc., HealthiPASS, Inc. The data presented on this page does not represent the view of Health iPASS and its employees or that of Zippia. None of the information on this page has been provided or approved by Health iPASS. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information.
Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. The employee data is based on information from people who have self-reported their past or current employments at Health iPASS. Zippia gives an in-depth look into the details of Health iPASS, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Health iPASS.
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