This also shifted the role of health IT teams from support to legally accountable compliance entities.

Before, the role of health IT teams was to build and maintain EHR systems and integrations. While doing this, they could limit APIs to improve performance, and providers could control how and when to move data.

But now, regulations defined by the Office of the National Coordinator for Health Information Technology (ONC) prohibit any unreasonable interference with access, exchange, and use of Electronic Health Information (EHI), while enforcement by the Office of Inspector General (OIG) has made non-compliance a measurable risk. The most important part of all this is that now impact is greater than intent. That’s why each architectural decision, even unintentional, such as a delayed API or UI change by health IT teams, can be a compliance exposure and not just an engineering decision. If you are a healthcare CTO or EHR developer, this changes everything. Now, real-time data availability, API-first architecture, and seamless third-party integrations are non-negotiable design factors. However, if you don’t address these considerations early, then organizations can face legal actions for compliance exposure and OIG information blocking penalties. In this blog, we will explain their impact on Electronic Health Information (EHI), information blocking rules for healthcare IT teams, what counts as a violation, and how to build a compliance-ready IT strategy. Because health IT teams are not just supporting a team, but also compliance stakeholders in EHR interoperability.

What Are Information Blocking Rules in Healthcare?

First things first, information blocking rules are primarily designed to keep patient data easily accessible, exchangeable, and immediately usable without any unnecessary restrictions.

Currently, under the ONC’s regulations, any practice that interferes with the access, exchange, or use of Electronic Health Information (EHI), without a valid exception, is considered information blocking.

For healthcare IT teams, this means delayed API response, restricted data access, or incomplete workflows that make integrating with third-party applications difficult. So, keep in mind that having real-time access and API-first design is essential for EHR systems.

Moreover, the scope of EHI has also increased under the 21st Century Cures Act. Now, providers must share clinical records, including lab reports, medications, problem lists, and visit notes, without hiding anything.

This means developers need to ensure that data is well-structured, accessible, and available through standardized formats and mechanisms such as LOINC and APIs. Any limitations set on this information can lead to compliance exposure and penalties.

All these information blocking healthcare rules mainly apply to three groups:

• Healthcare Providers
• Healthcare IT Developers
• Health Information Networks (HIN)

For EHR developers and healthcare CTOs, these changes are major because they have become a liable entity for managing system compliance. Their single engineering decisions, such as API configurations, can directly impact compliance.

However, all these changes do not mean giving unrestricted access to patient information; it just means removing any unnecessary barriers that slow down data exchange. That’s why all healthcare organizations are now expected to have real-time data availability, standardized APIs, and seamless third-party integrations.

What Qualifies as Information Blocking?

One thing that is important to highlight in information blocking rules is that only the denial of access is not considered information blocking. In practice, anything that restricts data accessibility, including unnecessary delays or barriers, is qualified as information blocking.

Let’s understand what is considered information blocking under the current rulebooks of the ONC:

• Delays in Data Access: The first that qualifies as information blocking is a delay in data availability, even if the data is shared with the app or the patients. That’s why having real-time data availability is one of the core requirements for the systems now. One example of this is API throttling that slows down response times.
• Unnecessary Restrictions on Data Sharing. If the providers or healthcare information networks impose unnecessary restrictions on data exchange outside the exceptions, then it can lead to compliance issues. For example, blocking or delaying third-party application integrations.
• Technical & Workflow Barriers: Some of the crucial but most overlooked information blocking types happen at the design and workflow level. For instance, Complex authentication or authorization processes, or the use of non-standard or incompatible data formats.

To make this healthcare data sharing compliance easier to understand from an EHR developer’s perspective, let’s look at some real-world scenarios. For example, you limit the API to manage the system load and improve performance, and if it delays the data access, then it becomes a compliance violation.

In short, for healthcare IT developers, information blocking is not just a regulatory concept but a design and operational risk. Most importantly, it fundamentally changes how developers build the systems for making data accessible, exchangeable, and usable without adding unnecessary restrictions.

Operationalizing the Eight Exceptions

While it’s true that information blocking rules need open access to patient data, there are some exceptions defined by the ONC where providers can limit data access. If you are a healthcare IT developer, then understanding these information blocking exceptions is essential as they need to implement them on system-level logic, workflows, and governance.

Here is a table that explains how these exceptions apply in particular situations and how an EHR developer should implement solutions for them:

However, one thing that you must understand is that these information blocking exceptions are not loopholes. They are structured safeguards for protecting PHI. That’s why, for healthcare IT teams, the goal is not just to enable data access, but also to ensure there are justifiable restrictions when the mentioned situation arises.

IT Implementation: How to Prevent Information Blocking in EHR Systems

Although information blocking is a critical compliance issue, it can be solved efficiently by building EHR systems that support real-time data availability and standardized access to Electronic Health Information (EHI).

From the healthcare IT team’s perspective, compliance must be built into the architecture,  workflow, and integrations. And for this to happen, one of the core requirements is accountability with audit logs to track and justify how data is accessed, shared, and restricted.

Another requirement is to ensure an API-first architecture that can seamlessly integrate with third-party applications of the patient’s choice. More importantly, the ONC is making it compulsory to use FHIR APIs to ensure interoperability and prevent any delays in health information exchange.

The next development consideration is automation of workflows and approval processes to eliminate any unnecessary restrictions due to manual processes. Also, you should regularly test patient portals and all third-party integrations, because the responsibility of patient data privacy and security still lies with healthcare providers.

Finally, it is important to align the system design and architecture with the information blocking exceptions. This creates a balance between data accessibility and regulatory safeguards, reducing risks of compliance violations.

In short, preventing information blocking is not just reacting to regulations; healthcare IT developers need to build systems that are transparent, interoperable, and audit-ready while maintaining their peak performance.

Risk Management: OIG Enforcement & Penalties

While understanding how information blocking healthcare rules work is important, it’s also important to understand how they are enforced and penalized. Most importantly, the ONC only defines the rules; it’s the Office of Inspector General (OIG) that investigates a violation and imposes penalties.

The process is complaint-based, meaning when a patient, provider, or third-party developers report issues, the OIC investigates the violation. In the case of information blocking, all the mentioned entities can file complaints about delayed or restricted access.

This investigation primarily involves reviewing audit logs, system behaviour, and access patterns. By analysing all these factors, the OIC determines whether there has been interference with the access, exchange, or use of Electronic Health Information (EHI).

If found, the OIC information blocking penalties can go up to $1 Million per violation category. Additionally, providers may face disincentives from programs aligned with the Centers of Medicare & Medicaid Services (CMS), affecting reimbursement and value-based care models.

However, most of the violations are unintentional, happening through system design choices. For instance, slow APIs, incomplete data access, or poorly implemented workflows. That’s why healthcare providers and healthcare IT teams need to monitor each choice carefully before implementing it.

Building a Compliance-Ready IT Strategy

Only fixing EHR technically is not enough to prevent any information blocking-related issues; you need to develop an IT strategy aligned with compliance.

So, the first step to this is conducting an internal audit of the system through healthcare IT developers to identify where potential bottlenecks can happen. This includes assessing APIs, workflows, audit logs, and third-party connections to find any delays, restrictions, or inconsistencies in EHI exchange.

After this, it is essential to align all workflows with compliance requirements defined by the ONC. More importantly, the system design should reduce restrictions, whether intentional or unintentional. It is also important to ensure any restrictions are justified under information blocking expectations and documented properly.

Then comes training and governance, as healthcare IT  must understand how its decisions can lead to compliance violations. By establishing a clear governance structure, you can observe system performance and minimize the unintentional violations through identifying issues or slow APIs and proactively fixing any issues, reducing compliance risks.

Finally, organizations must move towards building a sustainable compliance framework. This includes continuous monitoring of system performance, regular compliance reviews, and proactive updates to align with evolving regulations and interoperability standards.

Frequently Asked Questions

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The Core Shift: EHR Integration Requirements Under the Cures Act

After the enforcement of the 21st Century Cures Act compliance, interoperability transformed from a strategic investment to a compliance requirement. At first, interoperability was for only making data exchange smoother or adopting value-based care models.

But today, that thinking is no longer viable as new regulations under ONC and CMS require systems to allow seamless access to all Electronic Health Information (EHI). This means patients and health applications must be able to access, exchange, and use health data without any unnecessary limitations. And if you fail to comply with this, then it can be considered information blocking, leading to heavy penalties up to $1 million dollars.

Moreover, the scope of what information an EHI includes has also increased. Now, healthcare organizations also have to share nearly everything from clinical notes and lab results to medications and care plans.

However, adapting to this shift requires systems that support real-time data exchange and granular data access. This is what changes the whole architecture of EHR systems as they require standardized frameworks such as FHIR APIs.

In short, just connecting systems is no longer enough; now EHR integration must be compliant, standardized, and real-time.

Standardized API Access & Technical Evolution

The Cures Act’s impact on healthcare data exchange has been significant, as the way EHR integration works has transformed completely. It is moving from its point-to-point integration to standardized APIs.

Before, the healthcare organizations used custom HL7 interfaces to connect each new connection added to the system. While this worked, these interfaces supported only specific workflows. Most importantly, they were difficult to scale and expensive to maintain, along with providing very limited flexibility for system expansions.

Now, all healthcare providers must have standardized API access for EHR systems under the Cures Act. And this is where FHIR comes in, matching the structure and format of patient data to the new healthcare data interoperability regulations.

Here, you need to build on the baseline required by the ONC health IT certification, which is the R4 (Release 4). This provides stable data modes for patients, observations, etc. Along with that, it also includes RESTful API structure and SMART on FHIR compatibility for effortlessly connecting with third-party applications.

With FHIR and R4 structure, you don’t need to build custom workflows for each system, building a scalable and reusable integration model. But this is not the only change, and healthcare organizations must adapt to USCDI v3 as well, to set a baseline for the types of data to access, including clinical documentation and social determinants of health (SDOH).

This enforcement of the 21st Century Cures Act compliance also requires healthcare systems to connect with third-party applications, from patient health apps to digital health platforms. So, the healthcare systems must have API-first architectures, where interoperability is built at the core and not outside the system, ensuring compliance, scalability, and long-term adaptability.

Patient Data Access Rules & Their Impact

One of the most transformative changes that the 21st Century Cures Act has brought is in patient data access rules. It has completely placed the control of what data they want to share and access into patients’ hands.

Previously, patients had to access data from the healthcare provider’s portal or request the patient records manually. But now, not only do they not have to request the data, but they can also view it through any third-party application of their choice.

This happened with the complete implementation of information blocking rules, which require organizations to share timely and seamless access to EHI. And this EHI is not just summaries of clinical data but complete datasets of clinical notes, lab reports, medications, and care plans.

However, this also means that systems have to build their architecture on standardized, API-based interactions. This also helps in completing the real-time availability requirements for both patients and regulatory bodies, such as the CMS and the ONC health IT certification. So, the systems must support automated data exchange instead of batch-based or manual procedures.

Although the data access has become patient-first, healthcare organizations need to ensure it is exchanged in a secure, authorized, and compliant manner, even through third-party applications.

In short, EHR integration is no longer just a system-to-system connection but a broader ecosystem where open patient access, connectivity, and regulatory compliance are interconnected.

Key Compliance Requirements for Healthcare Organizations

As integration regulations evolve, compliance is no longer tied to a single mandate. Healthcare organizations must now align with overlapping regulatory requirements driven by the 21st Century Cures Act, CMS, and the ONC.

These regulations collectively define how Electronic Health Information (EHI) must be accessed, exchanged, and secured. For healthcare IT leaders, the challenge is not just understanding these requirements but translating them into practical architectural decisions that ensure long-term compliance and scalability.

Here is a table that outlines the core 21st Century Cures Act EHR requirements, along with their direct impact on EHR integration strategy and system design:

Challenges in Meeting Cures Act Requirements

While it sounds good to have a clear expectation for interoperability and data access, implementing these requirements in the organization comes with significant challenges.

The first challenge is to modernize the custom HL7 interfaces and integration points to match the API-based interoperability. These systems were not designed to exchange real-time data sets efficiently. And to transition them to FHIR-based APIs, healthcare organizations need complex data mapping, heavy transformation layers, and a redesign of architecture.

Additionally, even if the data is exchanged seamlessly, the systems require understanding it, and here the next challenge is. Building systems with semantic consistency is difficult if the systems operate without a clear understanding of different formats, coding standards, and clinical contexts, which can lead to inconsistent and inaccurate patient records.

One more challenge that organizations face is maintaining security and open access at the same time. The patient data becomes patient-first and free to access, but its security, privacy, and compliance must be maintained by the providers through authorization and authentication.

Then the next challenge is managing vendor alignment with all the connected applications and systems. Each vendor has different technologies and supports different standardization frameworks, and if they are not connected compatibly, it leads to fragmentation and inconsistent interoperability capabilities.

Most importantly, as healthcare is becoming more AI-driven and with the transparency requirements, healthcare organizations must ensure that each AI insight is explainable, traceable, and compliant.

A Strategic Approach to Cures Act-Compliant Integration

To solve the challenges mentioned in the point above and meet all the regulatory requirements, you need a structured strategy.

The first step in this process is to assess your current interoperability and its maturity. You need to identify the level of interoperability and how well it supports EHR access, along with identifying gaps in API readiness. While doing this, see where the existing workflow structure can lead to information blocking, technically or intentionally. This gives you a foundation to build improvements for the system.

The second step is to carefully transition toward API-first architecture using the identified gaps for reducing the operational and compliance risks. In modern healthcare, the systems must be able to exchange data through standardized APIs based on FHIR. This architecture allows you to build scalable, reusable, and consistent data exchange across platforms.

While all this is important, maintaining compliance is also equally important, and you can achieve it by aligning your long-term interoperability goals with compliance. The best way to approach is by building the compliance into the interoperability and system architecture. This ensures that compliance is not compromised along with operational efficiency, innovation, and ecosystem connectivity.

Finally, interoperability must be built for long-term scalability and adaptability as regulatory requirements are continuously changing. Moreover, the data requirements are also expanding over time, and your systems must be able to adapt to them without rebuilding with each new expansion or update.

In short, you need to adopt an API-based and future-ready approach to build interoperable systems that are scalable and aligned with the evolving healthcare landscape.

Frequently Asked Questions

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