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FHIR vs. HL7: The Pros, Cons, and Use Cases image
July 10, 2025
Healthcare

FHIR vs. HL7: The Pros, Cons, and Use Cases

Effectively exchanging healthcare data is fundamental to modern medicine. For decades, getting different health IT systems to communicate without problems has been a major challenge. Two standards are at the heart of this issue: Health Level Seven (HL7) Version 2 and the newer Fast Healthcare Interoperability Resources (FHIR). They both seek to enable interoperability, yet they originate from different technological eras and are built on distinct philosophies. Their impact is huge. An estimated 95% of U.S. healthcare organizations still use the workhorse standard, HL7 V2. Meanwhile, FHIR's growth is rapid. As of 2025, nearly 90% of global health systems have implemented FHIR-enabled APIs, and 84% of healthcare leaders expect that growth to continue. This is more than a technical debate for IT teams. The choice of standard affects patient care, data security, and the ability to innovate with mobile health apps and AI-driven analytics. This article will examine the key differences between HL7 V2 and FHIR, covering their technical foundations, pros, cons, and specific use cases to clarify the healthcare data landscape.

What is HL7 Version 2?

HL7 Version 2 (V2) appeared in the late 1980s to solve a major problem: getting different hospital information systems to communicate with one another. Before V2, connecting systems like a laboratory information system (LIS) to an electronic health record (EHR) meant building a custom, expensive interface for each link. HL7 V2 offered a common language that streamlined these connections and supported many clinical and administrative tasks. Timeline hl7 fhir Source: Kodjin HL7 V2 operates as a messaging standard based on an event-driven, point-to-point model. When a specific event happens, like a patient being admitted or a lab order being placed, one system creates a text-based message and sends it to another. An HL7 V2 message is structured with segments and fields, using pipe-delimited (|) ASCII text. Key segments include:
  • MSH (Message Header): A required segment with information about the message itself, such as the sender, receiver, and message type.
  • PID (Patient Identification): Contains the patient's demographic details, including name, date of birth, and medical record number.
  • PV1 (Patient Visit): Includes details about a specific patient visit, such as the attending physician and location.
A common example is the ADT-A01 message, which signals a patient admission. This message groups all the required data into its segments to inform other systems about the event.

The Pros of HL7 V2

HL7 V2's main advantage is its long history and wide adoption. For over 30 years, it has been the primary standard for internal hospital communications. This longevity makes it highly reliable for high-volume, established workflows, particularly in labs and pharmacies. Most older EHRs and clinical systems have solid, built-in support for V2 messages, making it a fundamental part of existing infrastructure.

The Cons and Limitations of HL7 V2

The flexibility that spurred V2's adoption is also its biggest flaw. The standard was designed for customization, which resulted in significant implementation inconsistencies. Two hospitals might use the same ADT-A01 message but format or interpret the data in different ways. This requires custom mapping for every new connection. Additionally, HL7 V2 has several technical weak points:
  • Point-to-Point Communication: It was designed for one-to-one connections and lacks support for the one-to-many data exchange needed by modern, interconnected systems.
  • Limited Extensibility: Custom "Z-segments" can be added, but they are not standardized. This creates interoperability problems unless the sender provides manual explanations.
  • Outdated Technology: HL7 V2 was created before the internet became common. It isn't designed for modern web services, mobile apps, or cloud platforms. It has a steep learning curve and requires specialized skills, which makes it challenging for new developers.

What is FHIR? The Modern Approach to Interoperability

HL7 International developed Fast Healthcare Interoperability Resources (FHIR) to address the shortcomings of older standards, launching it in 2014 FHIR (pronounced "fire") is a complete reimagining of health data exchange for the modern internet. It is still an HL7 standard, which is why it's called HL7 FHIR, but it's built on an entirely new technological foundation. A diagram of the FHIR architecture, where a central API translates data from an electronic health record for secure use by modern applications like mobile apps and analytics tools. A diagram of the FHIR architecture, where a central API translates data from an electronic health record for secure use by modern applications like mobile apps and analytics tools. Source: Tibco FHIR breaks healthcare information into modular components called "resources." A resource is a self-contained unit of clinical or administrative data, like a patient, observation, medication, or encounter. These resources can be accessed, combined, and exchanged individually to support a wide range of uses. FHIR's technology is its key differentiator. It uses the same open web technologies that run major e-commerce and social media platforms, including:
  • RESTful APIs: Applications can request specific data from a server with standard HTTP commands (GET, POST, etc.). This replaces rigid point-to-point connections with a flexible, one-to-many model.
  • JSON and XML: Data is represented in human-readable formats that most modern developers already know, greatly reducing the implementation barrier.
This approach turns health data into something that can be securely accessed and used by many applications, from large EHRs to small mobile apps. It is a key enabler for any organization working on digital health product and software development.

How Does FHIR Differ from HL7 V2? A Head-to-Head Comparison

While both standards work toward interoperability, their methods are completely different.

Data Structure

HL7 V2 uses a fixed, message-based structure where data is grouped into event-triggered packages (like an ADT message). FHIR employs a flexible, resource-based model where individual data components (like Patient or AllergyIntolerance) can be queried and combined as needed. This change from a document-centric to a data-centric model enables more specific and contextual data access.

Technology and Data Exchange

HL7 V2 depends on custom, point-to-point interfaces and a complex, pipe-delimited format. FHIR uses modern RESTful APIs, which let any authorized application get data from a central FHIR server in a one-to-many pattern. This API-driven method is standard on the modern internet and helps make data exchange smoother and more scalable.

Flexibility and Extensibility

Extending HL7 V2 usually involves proprietary "Z-segments" that harm interoperability. FHIR is designed for extensibility using "profiling," a standard method for constraining or adding elements to a resource for a specific purpose while staying compatible with the core standard. This approach allows local needs to be met without losing interoperability.

Ease of Implementation

Implementing HL7 V2 demands specialized knowledge of its complex rules and variations. FHIR is much more accessible to a wider range of developers because it uses common web technologies. Its documentation is thorough, and a large community provides open-source tools and support, which cuts down on implementation time and cost. fhir vs hl7

What are the key use cases for each standard?

The technical differences between HL7 V2 and FHIR make them right for different jobs.

HL7 V2 Use Cases

HL7 V2 is still the standard for essential internal tasks in established healthcare facilities. Its primary uses include:
  • Integrating Legacy Hospital Systems: Connecting EHRs with laboratory (LIS), radiology (RIS), and billing systems that have used V2 for decades.
  • High-Volume Internal Data Feeds: Sending admissions, discharges, and transfers (ADT), orders, and results within a single hospital.
For many organizations, replacing these deeply integrated V2 interfaces is not practical or affordable. The standard will likely coexist with FHIR for a long time.

FHIR Use Cases

FHIR's flexibility and web-based design open up a much wider set of possibilities, especially for external data exchange and modern apps. Key uses include:
  • Mobile Health Applications: FHIR is the engine behind patient portals and mobile apps that give patients real-time access to their lab results, medication lists, and appointments.
  • Inter-Organizational Data Sharing: It allows for seamless data exchange between different hospitals, clinics, and payers within an Integrated Care System (ICS) or Health Information Exchange (HIE).
  • Clinical Decision Support System (CDSS): FHIR can supply real-time patient data from multiple sources to CDSS tools, giving clinicians timely and relevant alerts and recommendations.
Population Health and Analytics: The standard's structured format simplifies the aggregation and analysis of data from large populations. This is vital for public health research and value-based care programs, making FHIR essential for any advanced data and analytics strategy. FHIR use cases in healthcare

Real-World Example: Integrating Health and Social Care with FHIR

The UK's National Health Service (NHS) provides a strong example of FHIR's capabilities. The Interweave platform, an NHS-owned shared care record system, uses FHIR as its foundation to address a complex problem: integrating health data with social care data. Social care services frequently use unstructured narratives instead of coded data, which makes interoperability with clinical systems difficult. Terminology also differs; an "episode of care" in a hospital means something very different than it does in a social services setting. To address this, Interweave formed a working group of health experts, social care professionals, and FHIR specialists. Their approach involved:
  1. Defining a Minimum Viable Dataset (MVD): The group pinpointed the most critical data elements that had to be shared between health and social care.
  2. Creating Custom FHIR Profiles: Since a one-size-fits-all model would not work, the team developed a separate FHIR profile for a social care "Episode of Care." This adapted the standard to fit real-world social care situations while remaining FHIR-compliant.
The results were significant. By sharing data across these separate sectors, Interweave's partners cut administrative time in emergency departments, prevented unnecessary hospital admissions by sharing patients' end-of-life wishes, and reduced the workload in primary care. This demonstrates FHIR's ability not only to connect similar systems but also to bridge gaps between entirely different fields of care. 

What Does the Future Hold for HL7 and FHIR?

The healthcare industry is transitioning. FHIR is the clear standard for the future, pushed by regulations like the 21st Century Cures Act. However, HL7 V2's massive installed base means it will stay relevant for years. The challenge for most organizations is not choosing one over the other, but managing how they coexist. This situation has created a demand for HL7 V2 to FHIR transformation solutions. The process is complex because it involves carefully mapping V2's segment-based structure to FHIR's resource-based model and handling organization-specific customizations. The FHIR ecosystem is set to expand. Programs like SMART on FHIR are creating a "plug-and-play" environment for health apps, so developers can build one application that runs securely on any FHIR-enabled EHR. The standard is also evolving to handle genomic data and support advanced AI and machine learning models, which will lead to more predictive and personalized medicine.

How Can Kanda Help?

Handling the complexities of HL7 V2, FHIR, and the transition requires deep technical skill and strategic planning. Integrating legacy systems, ensuring data privacy, and mapping inconsistent data formats are major hurdles for many healthcare organizations. A partnership for custom software development can be invaluable. 
  • Build Custom FHIR Platforms: Develop secure, scalable, and compliant FHIR servers and APIs designed for specific organizational needs.
  • Manage Legacy System Integration: Create effective data transformation pipelines to convert HL7 V2 messages into FHIR resources, bridging the gap between old and new systems.
  • Develop Interoperable Applications: Design and build patient-facing mobile apps, clinician decision support tools, and analytics dashboards that use the full power of FHIR.
  • Ensure Security and Compliance: Engineer platforms to meet strict regulatory rules like HIPAA and GDPR, protecting sensitive patient information at all times.
Talk to our experts to discover how Kanda can help transform your approach to interoperability, bridging the gap between legacy HL7 systems and modern FHIR solutions with secure, reliable, and custom-built platforms.

Conclusion

The shift from HL7 V2 to FHIR mirrors the broader change in healthcare from siloed, institution-focused systems to a connected, patient-centered ecosystem. HL7 V2 continues to be a crucial standard for internal data exchange, but its architecture belongs to a past technological era. FHIR, with its modern, web-based foundation, is the future, providing the flexibility, scalability, and developer-friendliness needed to drive innovation. For healthcare organizations, the path forward isn't about replacing everything at once but about smart integration. The key is to build a strategy that uses the strengths of both standards. This creates a bridge from legacy systems to the interconnected possibilities of the future. By adopting modern standards like FHIR, the healthcare industry can unlock the full potential of its data to provide safer, more efficient, and effective care for everyone.

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