• In the digital-first era of healthcare and insurance, each claim submitted uncovers an additional layer of personal information. From medical records that are sensitive to financial information, insurance claim processes are riddled with privacy pitfalls.
• This article guides Data Protection Officers (DPOs) to know where those risks exist in health and life insurance claims—and how to protect the data along the way.
• We will discuss how information moves, where lines get blurred around legal and ethical access, and what habits maintain confidentiality in claims. The aim? Enable DPOs to stay one step ahead of compliance risks and build trust-first ecosystems.

1. The Sensitivity of Health & Personal Data in Claims

Why DPOs should consider each claim a data goldmine (for hackers)

Life and health insurance claims typically entail the most intimate information an individual can provide—medical histories, treatment information, death certificates, proofs of income, and even familial relationships.

Trivia Thought: An IBM study found that medical data breaches cost $10.93 million on average—more than any other sector.

Critical data involved during claims:

• Personally Identifiable Information (PII): Name, DOB, PAN, Aadhaar, address, etc.
• Protected Health Information (PHI): Medical conditions, treatments, prescriptions, hospital information
• Financial information: Bank accounts, nominee accounts, policy amount, etc.
• Biometric or image data: X-rays, scans, death verification photographs in life insurance

Why it’shigh risk:

• Hackers find PHI more valuable than credit card information on the dark web.
• When leaked, health information cannot be modified like a password or PAN.
• It makes people vulnerable to discrimination, fraud, and mental suffering.

2. How Data Moves Through Health & Life Insurance Claims

Visualizing the data path—from patient to payout

Each health or life insurance claim initiates a convoluted data path. Knowing this path is critical to discovering weak links.

Multiple touch points carry claim data:

• Policyholder sends docs to insurer or TPAs (Third-Party Administrators)
• Hospitals and diagnostic centers post reports on centralized claim portals
• Underwriting teams view full case histories for review
• Insurer’s claims unit utilizes this for making decisions
• Fraud investigation units or regulatory audit teams can access these older records later

DPO Risks to monitor:

• Data tends to be duplicated/shared between numerous systems and formats (emails, PDFs, excel).
• Utilization of insecure third-party claims handling systems.
• Limited visibility into subcontractor's data handling procedure

3. Legal vs. Ethical: Drawing the Line in Claim Data Use

Just because you can access the data, doesn’t mean you should

Health data processing in the context of claims needs to be legal under the Digital Personal Data Protection (DPDP) Act, 2023, but DPOs also need to balance ethical considerations—particularly in cases where consent isn’t necessarily clear or granular.

Blurred boundaries DPOs encounter:

• Over-collection of data: Requesting medical records that are not relevant.
• Internal data sharing: Utilization of claim data for product upselling or analytics without consent.
• Posthumous data use: Use of deceased individual’s records in life insurance without basis in law.

Ethical & legal checklist:

• Is purpose limitation for every field of data collected present?
• Is consent valid, free, specific, and informed?
• Is data minimization plan present?
• Is data shared internally on a need-to-know basis only?

4. Real-Time Access vs. Long-Term Storage Risks

Instant decisions need access, but stored data welcomes breaches

In the course of claim processing, instant access to full datasets is crucial for timely approvals. But after the claim has been settled, long-term storage of such data is usually a liability.

Hazards of extended storage:

• Increases breach exposure, particularly in legacy storage systems.
• Breaches DPDP’s storage limitations.
• Frequently lacks deletion procedures for inactive or old claims.

DPO checklist:

• Use automated data expiry or retention tags in claim systems.
• Enforce data anonymization after claiming closure where practicable.
• Regularly audit archival storage for redundant data.

5. Encryption & Protection Best Practices for DPOs

From claim form to cloud—encrypt everything, check access, manage endpoints

Most breaches in insurance occur not at collection but in transit and storage. DPOs need to ensure encryption, tokenization, and secure access practices in all phases of claim processing.

Best practices to adopt:

• End-to-end encryption for all PII/PHI while uploading, transit, and storage.
• Role-based access control (RBAC) for in-house teams.
• Zero trust security models for third-party TPAs.
• Data pseudonymization and masking for internal dashboards and reports.
• Cloud provider due diligence: Validate ISO/IEC 27001 & DPDP compliance.

6. Third-Party Vendors: Your Hidden Vulnerability

Claims are rarely handled alone—third parties introduce unknown risk

Whether it’s TPAs, hospital partners, or cloud storage providers, third parties usually touch, or process claim data. One weak link can compromise your entire system.

Actions DPOs must take:

• Conduct Vendor DPIAs prior to onboarding.
• Execute binding Data Processing Agreements (DPAs).
• Perform regular vendor audits and risk assessments.
• Require privacy certifications (e.g., ISO 27701) for claim processors.
• Implement cross-border data transfer protections (Standard Contractual Clauses, etc.)

7. Final thoughts: DPOs Must Treat Claims Like High-Value Targets

Claims are not documents—they are privacy bombs waiting to blow up if they are not properly managed. Now that India’s DPDP Act is in effect, DPOs in insurance firms need to raise their game on claim data governance.

• Put privacy-by-design at the top of claim management systems.
• Ensure granular consent collection and purpose limitations.
• Don’t simply consider legal compliance—think about ethical boundaries as well.
• Construct strong encryption, retention, and vendor risk protocols.
• Regularly audit and refresh systems—confidentiality is not a one-time solution.