Objective :
Manage and maintain accurate patient intake and demographic information to support timely billing, reduce claim rejections, and ensure regulatory compliance.
Key Responsibilities :
Patient Intake Process :
- Gather complete patient details during registration, including: Full legal name
- Date of birth
- Address and contact info (phone, email)
- Emergency contact
- Social Security Number (if required)
- Primary/referring physician (if applicable)
- Verify identity with photo ID and insurance card at each visit.
Demographic Data Management :
- Enter and update data in EHR/PMS with consistency and accuracy.
- Confirm and record:
- Ethnicity, and preferred language (as required by CMS/UDS)
- Gender identity and pronouns (if applicable)
- Communication preferences
- Review and update demographic information regularly to prevent errors.
Insurance Details Collection :
- Collect and verify insurance data:
- Insurance provider name and plan type
- Member/Subscriber ID, group number
- Relationship to subscriber
- Primary vs. secondary insurance
- Capture front and back of insurance card.
- Confirm coverage through real-time eligibility tools or payer portals.
Consent and Compliance Forms:
- Ensure all patients complete and sign:
- HIPAA Privacy Notice
- Consent to Treat
- Assignment of Benefits (AOB)
- Financial Responsibility Agreement
- Scan and store forms in the patient record; update annually or as required.
Billing and Claims Support:
- Ensure accuracy of demographic and insurance data to prevent:
- Claim denials due to mismatched patient details
- Delays in reimbursement
- Incorrect patient billing
- Flag incomplete or conflicting data for follow-up before claims submission.
Our Best Practices:
- Use a registration checklist to ensure consistency.
- Train front desk and intake teams on insurance types and terminology.
- Review registration data weekly/monthly to identify and correct trends.
- Implement automated alerts in the EHR for missing/critical fields.
Why It’s Important:
Inaccurate registration is one of the top causes of claim rejections. High-quality patient demographic data not only ensures smooth billing and reimbursements but also supports effective clinical decision-making and patient communication.


