The Healthcare Crisis No One Talks About: It's an IT Problem – Part 2: What Gets Fixed with a Unique Identifier (And What Doesn’t)
- David McCorkle
- May 9
- 4 min read
Updated: May 19
What Is a Unique Identifier? A unique identifier is a single, unchanging code assigned to a specific individual that can be used across systems to reliably confirm their identity. It is not based on names, addresses, or birthdates — all of which can change or be duplicated. Instead, it is designed to be exclusive to one person only.
Think of it like a digital fingerprint — something that follows you everywhere and remains the same no matter what doctor you see, what state you live in, or how your personal details change over time.
Examples of Countries, including the VA, using Unique Identifiers in their health systems:
Aadhaar Number (India): A 12-digit biometric-linked ID issued by the Indian government. It uniquely identifies over a billion citizens and is used for everything from healthcare to banking.
Estonian ID Code: Estonia assigns each citizen a national ID code used across government services, including digital health records, voting, and tax filing.
VA Patient ID (U.S.): The U.S. Department of Veterans Affairs assigns a unique identifier to each veteran within its system, allowing for integrated care and consistent record-keeping — but this ID doesn't extend to non-VA providers.
In the context of healthcare reform in the United States, a national unique identifier would function as a secure anchor that links every medical interaction, insurance claim, and prescription to the correct person — with the goal of reducing errors, fraud, and inefficiencies.
Why Unique Identifiers Matter in IT Systems In information systems, especially those that must integrate across multiple platforms, a unique identifier is the cornerstone of data integrity. Without one, data engineers and system architects must rely on fuzzy matching — algorithms that attempt to correlate records based on variable fields like name, birthdate, or address. This is inherently unreliable and does not scale.
From a technical perspective, a unique identifier solves several core challenges:
Relational Database Management: Unique identifiers serve as primary keys that enforce uniqueness and enable reliable joins between tables. Without them, normalization, indexing, and query optimization break down.
Data Federation and Interoperability: When integrating systems across hospitals, insurers, labs, or states, unique identifiers allow disparate databases to accurately associate records without risk of duplication or mismatch.
System Scalability and Automation: Identity resolution via manual review or probabilistic matching is slow and error-prone. A unique ID allows for programmatic automation of tasks like syncing records, auditing usage, and real-time reporting.
Auditability and Security: From an IT governance standpoint, a unique ID enables precise access logs, historical traceability, and adherence to compliance frameworks (e.g., HIPAA, NIST, HITRUST).
In short, without unique identifiers, modern data systems become increasingly brittle, prone to duplication, and dependent on guesswork. With them, we can design systems that are secure, scalable, and reliable — the minimum requirement for a 21st-century healthcare infrastructure.
A national unique identifier for healthcare won’t fix everything — especially not the data mess we’ve already made. But it could fundamentally transform how we prevent mistakes, manage care, and protect patient privacy moving forward.
What a Unique Identifier Can Fix
Duplicate Records and Mismatches Today, patients can exist under multiple names in different systems — “J. Smith,” “John Smith,” and “Jonathon A. Smith” may all be the same person. A unique identifier anchors every record to a single identity, dramatically reducing duplication and misfiled histories.
Medical Errors from Misidentification Matching the wrong chart to the wrong person is a deadly mistake. A unique ID helps systems validate identity with certainty — especially when names, DOBs, and addresses are similar or common.
Insurance and Claims Efficiency Billing errors and claim rejections often happen due to slight data mismatches. A unique ID streamlines verification and claim routing, helping patients get coverage faster and reducing costly denials.
Prescription Oversight With a national ID, controlled substance prescriptions could be accurately monitored across all 50 states. This would prevent patients from “doctor shopping” across state lines to obtain duplicate prescriptions.
Public Health Tracking Real-time population-level insights on vaccine efficacy, disease outbreaks, and adverse drug reactions could be built — if we could consistently tie data to individuals, even as they move between providers or states.
What a Unique Identifier Can’t Fix
Bad or Old Data Implementing a unique identifier won’t retroactively clean up decades of mismatched or fragmented records. Old data will still require careful merging and validation — a labor-intensive process.
Incomplete Adoption If major health systems or states resist adopting the ID or fail to integrate it properly, the benefits will be incomplete or inconsistent.
Privacy and Trust Issues Public fear of government misuse won’t go away overnight. A unique ID must be rolled out with transparency, opt-in models, and strong legal protections to avoid backlash.
Non-Digital and Legacy Systems Many healthcare providers still use outdated systems or paper records. Those environments won’t magically support a modern identity solution without significant IT investment.
Bottom Line A unique identifier is not a silver bullet — but it is the foundation. Without it, every fix is a patch. With it, we get the chance to build something that actually works.
Keep reading this series as we dive deeper into the cascading effects of fixing this one foundational problem. When identity is reliably solved, it enables everything else: better care coordination, more accurate data sharing, improved public health responses, and real trust in our digital health infrastructure.
In future parts of this series, we’ll explore how legacy data cleanup could be handled and what policy, technology, and privacy frameworks must accompany a national rollout.
Click Here for Part 3


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