FHIR Readiness in Healthcare Software: Make Interoperability a Product Feature

An EHR integration that works for one customer may require substantial changes for the next. Healthcare organizations have different EHR configurations, clinical workflows, data requirements and security expectations. For HealthTech companies expanding into enterprise accounts, those differences can complicate delivery schedules and make integration commitments harder to manage.

During technical evaluations, enterprise buyers want to know which systems a platform supports, what clinical information it can exchange and how reliably those connections operate. Engineering teams face a related question: how much of the existing integration can they reuse, and where will another implementation require custom development? When every customer introduces new code and manual work, the platform becomes increasingly difficult to scale.

FHIR readiness in healthcare software is therefore an architectural and product decision. The goal is to establish integration capabilities that buyers can evaluate, engineering teams can maintain and the business can reuse as customers and their requirements change.

Why Interoperability Has Become a Product Decision

Healthcare organizations already exchange substantial volumes of electronic health information. In June 2026, the U.S. Department of Health and Human Services reported that more than one billion health records had been exchanged through the Trusted Exchange Framework and Common Agreement (TEFCA). This milestone shows the scale of nationwide exchange, but it does not mean a HealthTech platform can integrate with any healthcare system without additional engineering.

In practice, hospitals continue to use multiple approaches to data integration. A February 2026 ASTP/ONC data brief, based on 2024 data from nonfederal acute-care hospitals, found that approximately nine in ten hospitals enabled patient access through an API. While 91% integrated clinical data from third-party technologies using at least one method, only 52% used standards-based APIs for at least one type of clinical integration. These findings illustrate the challenge HealthTech companies face as they work with both standardized and proprietary interfaces across different customer environments.

FHIR and TEFCA address different aspects of this challenge. Fast Healthcare Interoperability Resources (FHIR) defines standardized resources and interactions for exchanging healthcare data through APIs, while TEFCA establishes the governance, agreements, and technical requirements supporting nationwide information exchange. Under ONC’s TEFCA framework, Qualified Health Information Networks (QHINs) serve as central connection points that facilitate exchange among participating organizations.

For CTOs, understanding these differences is important when evaluating their platform’s architecture. Implementing FHIR does not automatically establish TEFCA participation or demonstrate HIPAA compliance. A credible interoperability strategy must account for the information a platform exchanges, the clinical workflows and access controls it supports, and any additional network participation requirements. These considerations help determine which integration capabilities the company can reliably offer enterprise customers.

AristaMD: Turning an API Into a Reusable Product Capability

AristaMD provides an example of what that shift can look like in practice. The telehealth company wanted to make its application easier to integrate with other systems while reducing unnecessary steps for physicians. As described in GAP’s AristaMD API enablement case study, GAP engineers collaborated with AristaMD’s development team to create an API using objects based on the FHIR standard and PHP/Laravel.

The important outcome was reuse. GAP reports that the API became a feature enabled for additional AristaMD clients, rather than a solution limited to an initial integration. Its healthcare industry page also describes EHR connectivity and reduced manual data entry associated with the FHIR-based work. The published materials do not provide a numerical reduction for that specific API initiative, so its clearest evidence is the product’s expanded integration capability.

For another HealthTech company, the lesson is architectural: determine which parts of an integration should become stable product functionality and which parts genuinely need customer-specific configuration. That boundary influences delivery effort, documentation, support and how confidently the product team can describe what will work in the next enterprise environment.

Define What Your FHIR API Can Actually Promise

A claim of FHIR support rarely answers all the questions raised during an enterprise evaluation. A buyer may need to know which versions and profiles are supported, which resources are available, what operations are permitted and whether the platform can complete a particular clinical workflow. The HL7 US Core Implementation Guide defines profiles and interactions for U.S. healthcare, while FHIR’s CapabilityStatement can formally describe supported functionality. Those artifacts help establish a contract that partners can evaluate and test.

The contract also needs to account for differences between deployments. One EHR configuration may allow an application to read patient and observation data while another requires different scopes, profiles, or additional interfaces for referral-related work. Even within the same FHIR version, the resources implemented by a partner may not cover everything the product expects. A technically sound API can still disappoint an enterprise customer if its promised workflow depends on unsupported operations.

This is why integration documentation should be treated as a product asset. Supported operations, sample requests and responses, error behavior, version policies, test environments and known limitations give buyers a clearer view of implementation effort. They also help engineering and product leaders draw a line between a standard feature and work that requires a separate customer-specific commitment.

Preserve Clinical Meaning, Permissions and Workflow Context

Passing information between systems is useful only when the receiving application can interpret and use it appropriately. A laboratory result may require units, terminology codes, timestamps, reference ranges and provenance in addition to the reported value. Inaccurate mappings or missing context can create downstream problems even when an API request returns a successful response. Patient matching introduces another challenge when records from different organizations need to be associated with the right individual.

These issues require deliberate decisions about the data model and integration layer. Teams need to know which concepts can be mapped consistently to FHIR resources, where local terminology or data quality introduces uncertainty and how the platform will manage discrepancies. Some differences can be handled through mapping and configuration; others may reveal limitations in the internal data structure or in the assumptions behind the workflow itself.

Authorization must also be evaluated against the actual exchange. Depending on the integration, access may involve SMART App Launch, OAuth-based scopes, organizational permissions and applicable consent requirements. A system that can retrieve data is not necessarily authorized to update it and technical access does not resolve every legal or operational obligation. Auditability, identity controls and handling of sensitive information must be designed for the specific product and use case.

For a CTO, these are connected responsibilities. A referral or telehealth workflow should be tested end to end, including what happens when data is incomplete, a patient cannot be matched confidently, or a receiving system rejects a transaction. Successful API communication is one part of the acceptance criteria; completing the intended workflow reliably is the more meaningful product outcome.

Make Integration Reliability and Reuse Measurable

The next question is operational: what happens when a second, third, or tenth healthcare organization connects? An integration that depends on extensive custom code, undocumented configuration, or the knowledge of one engineer can become difficult to maintain as the customer base expands. Reusable adapters, clear ownership, automated validation and documented deployment patterns help reduce that fragility.

Production behavior should be visible as well. Teams need to understand transaction failures, processing delays, rejected payloads, synchronization gaps, rate limits and external API changes. Retry behavior, idempotency and reconciliation procedures should reflect the risks of the workflow rather than being added only after incidents occur. The goal is to make problems identifiable and recoverable without introducing avoidable clinical or operational risk.

Useful measures include onboarding effort for a new EHR environment, recurring integration incidents, manual interventions and time spent maintaining customer-specific code. These indicators are more informative than a simple count of supported endpoints. They help technology and product leaders determine whether interoperability investment is producing a repeatable capability or merely shifting effort from implementation into support.

Assess FHIR Readiness Before Rewriting the Platform

Many HealthTech platforms contain established workflows, data models and integrations that customers rely on. Replacing the underlying system solely to expose a modern API can introduce cost, disruption and new risks. A targeted readiness assessment should first determine which parts of the architecture already support the intended exchange and which constraints affect the next high-priority integration.

Start with a small set of real requirements: the target EHRs, the data needed, the workflow to complete, the authorization model and the reliability expectations. Map these requirements against existing services, interfaces and data stores. Then classify each capability as already reusable, dependent on customer-specific work, or not yet supported. The resulting assessment is an engineering planning tool, not an official FHIR, TEFCA, or HIPAA certification.

The gaps often suggest different responses. Missing documentation may require a better API contract rather than new software. Unreliable mappings may call for a more deliberate integration layer. An overly rigid data model may need selective redesign. TEFCA participation, where relevant, brings additional network and agreement considerations that cannot be solved through API implementation alone. A useful roadmap keeps those workstreams distinct while prioritizing the ones that matter to the customer’s actual use case.

Build Interoperability in Increments That Can Be Reused

A practical modernization effort can begin with one integration that has clear product value, such as retrieving clinical observations or enabling a referral-related exchange. Define success in terms of a complete workflow, including permissions, expected data, error handling and the work users should no longer need to perform manually. That gives the team a concrete basis for design and validation without committing to an unnecessarily broad rewrite.

Next, determine whether an adapter or interoperability layer can translate between existing internal structures and the FHIR contracts required by partners. This can protect stable business logic while creating a consistent external interface. It is not always the right answer: if translation introduces excessive complexity or obscures important clinical information, changing parts of the underlying data model may be the more sustainable choice. The tradeoff depends on the architecture, not on a universal preference for adding another layer.

Finally, test the complete exchange in representative partner environments where possible, document the remaining assumptions and capture everything that can be reused. Mappings, configurations, conformance tests, workflow tests, monitoring rules and onboarding instructions should become part of the product’s maintained integration capability. The measure of progress is whether the next customer can be connected with greater predictability and less repeated engineering effort.

Building Interoperability That Supports Long-Term Growth

Reliable access to clinical information can also support future healthcare innovation. AI-enabled applications for documentation, care coordination and decision support depend on data that is appropriately accessible, consistent and governed. FHIR-based integration may contribute to that foundation, but it does not replace requirements for data quality, security, clinical validation, or oversight.

At Growth Acceleration Partners (GAP), we approach modernization as part of a broader AI transformation effort. We work alongside organizations to improve existing products, develop intelligent capabilities and redesign workflows through strategic planning and hands-on engineering. The aim is to strengthen the people, processes and technology that enable continued improvement, rather than leave clients with an isolated technical deliverable.

For HealthTech leaders, the immediate opportunity is to understand which integrations the platform can support today and what it will take to make the next one more repeatable. Connect with GAP to discuss your interoperability architecture and identify practical priorities for modernization.