To receive payments for the services rendered, healthcare providers need to verify each patient’s eligibility and benefits before the patient’s visit. Some estimates indicate that as many as 75% of the claims getting denied are on account of the patient not being eligible for the services rendered by the healthcare provider. Unfortunately, it is one of the most neglected processes in the revenue cycle chain.
Ineffective eligibility and benefits verification and/or prior authorization processes can result in increased claim denials, delayed payments, additional effort on rework, delays in patient access to care, decreased patient satisfaction, and non-payment of claims.
Linus brings you a team of experts to help you accelerate your client’s accounts receivable cycle. We confirm the patient’s eligibility and obtain necessary prior authorization before the patient visits the physician’s office.
Our team members will do the following as a part of the verification processes:
Accurate capture of patient details is perhaps one of the most under-rated processes in the revenue cycle process chain. Not only does the data captured in the demographic entry process form the base for the medical record, but it also affects insurance claims payment. Error-free capture of patient information is essential for clean claim submission and facilitates quick claims processing by Payers.
The front-office at the place of service should accurately capture the patient information, either via paper-based registration processes or via the scheduling system. Accurate information about the patient is critical to ascertain the patient's eligibility and benefits, obtaining prior authorization, and error-free claims filing. Additionally, population health analytics is possible only by utilizing accurate patient information.
Payer information (name of the Payer, mailing address for claims, and group and policy numbers)
Details of secondary as well as primary Payers
Medicaid or Medicare card (if the patient receives federal or state assistance)
Allergies if any
Inaccurate capture of the Patient information could result in: