EHR Integration Challenges: 10 Common Pitfalls & How to Overcome Them

In 2016, the Annals of Internal Medicine published research that suggested that almost 50% of physicians’ time is spent on EHR systems for data retrieval and documentation. While this number has clearly improved over the last decade, this problem still persists.

And some of the major reasons for this have been poor integration.

Moreover, a recent study by the American Medical Association also reported that due to fragmented workflows and integration issues, there is a low satisfaction rate with EHR usability among providers. And the trickle-down effect of this can be seen in both clinical and administrative processes as well as finances.

To give you an idea about the financial impact, poor integration and interoperability cost the US healthcare system over $30 billion annually, according to the American Journal of Managed Care.

The problem here lies in the approach that most healthcare organizations take to EHR integration. You see, it is not a simple ‘plug-and-play’ feature that makes everything right for you.

In fact, the intricacies of EHR system integration can be at times contradictory with your system and most of the time with the other systems. This is one of the many EHR integration challenges that healthcare providers are facing.

On that note, let’s discuss the common EHR interaction challenges in healthcare that stop your practice from being a part of the connected healthcare ecosystem.

So, without further ado, here are the top EHR integration challenges and how to overcome them!

System Incompatibility & Technical Limitations

According to a press release by Kaspersky, it suggested that almost 73% of healthcare practices continue to use legacy systems. Now, the problem with legacy systems is that they are not advanced; they provide very limited or no API support.

Due to this, establishing connection points between the systems becomes increasingly difficult and in some cases, even impossible. Furthermore, even if you manage to connect with the systems, the proprietary formats and restricted connectivity between the systems make it difficult for the systems to communicate with each other.

So, how do you overcome this problem?

Well, some of these EHR integration barriers can be easily overcome by the use of middleware and API wrappers. Furthermore, if you are opting for custom EHR integration, then phased integration is the approach that you should follow.

Data Mapping & Terminology Differences

Another one of the most common EHR integration challenges in healthcare is the use of inconsistent data formats and field mismatches. Well, this is a challenge that you are bound to face during any integration.

You see, no two systems are the same, especially in healthcare. While one might save the data in a structured format, the other might not. And there are multiple coding systems in the market, such as LOINC or SNOMED. Given the different technicalities of these systems, your software system finds it difficult to navigate and communicate with its counterpart.

So, what can be done?

One of the best solutions for data mapping and terminology differences in EHR integration is to implement standardized data mapping frameworks, with the use of HL7 or FHIR standards.

NOTE:You can also use AI support for automating data mapping and normalization of data for sharing.

Data Silos Across Healthcare Systems

Various sources have cited that almost 80% of the healthcare data is unstructured and finds itself in disconnected systems. For instance, suppose there is a cardiology practice, and naturally, there are multiple systems used in that practice. However, none of the systems are connected to each other.

So, all the data stored in that practice stays in that particular system only. For example, the patient health data might be stored in the physicians’ EHR, their billing details in the billing system, and so on.

Also, the disconnected systems limit the accessibility of that data to be shared across the practice. And in a way, data sharing becomes a manual process.

So, how do you break the data silos?

Well, before answering your question, there is nothing wrong with storing data in different systems. In fact, it is one of the best practices to keep your data safe. However, you need to understand that the data must be shared for effective care delivery.

Here, you can build a centralized integration layer that connects all your systems together and allows for seamless data transfer.

Poor Data Quality & Integrity Issues

Poor data quality is still the leading challenge in integrating EHR systems with legacy systems. You see, due to the lack of EHR integration, many practices store their data in their system only.

And since the systems are disconnected, the data quality shrinks by a huge margin. In such cases, the data present in the system is often incomplete or follows inconsistent patterns. Furthermore, for bigger healthcare organizations, the duplicate data is something that they struggle with the most.

Now, during EHR integration, the problem that these healthcare providers face is the ‘ERROR’. The error comes in clinical processes of EHR integration, such as data transformation and migration. This not only makes the process hard but also compromises the integrity of the system.

So, what can be done in such cases where every other system possesses such issues?

The best way to deal with poor data quality is to establish certain sets of data validation rules and enhance the cleansing processes so that the data is good before you actually start the integration process.

NOTE: You can also use AI to detect anomalies in data, address them, and act on them to improve data quality.

Security, Privacy & Compliance Risks

Do you know that the healthcare industry is reportedly one of those industries that faces the largest number of cyber attacks? In fact, it still remains the #1 target for many cyber attacks, where almost 92% of healthcare organizations reported cyber attacks in 2024.

If your integration bridge is not secure, then an attack can surface across the integrated system, compromising your data and practice’s integrity. While there are regulatory bodies that are there to prevent these attacks, complying with their regulation is another set of challenges.

So how can I secure my EHR integration?

Well, you have to take robust actions and implement encryption across the system, which maintains the integrity of the data even if it is stolen. Furthermore, implement access control measures and establish a siding mechanism that lets you have more control over the security of the system.

Workflow Disruption & Clinical Resistance

Unlike all the other problems that we’ve discussed so far, this is quite different. You see, every healthcare practice has a specific workflow for care delivery and administration. In such cases, when you want to implement EHR integration, the clinical workflows can be changed.

This can not only disrupt the workflows, but can also face resistance from clinicians. Misaligned clinical workflows with EHR integration can disrupt the functioning of the clinical.

Also, if you’re implementing EHR integration in a completely new setting, then there is bound to be resistance to its usability, leading to inefficiencies.

So, how to address this unique EHR integration problem?

Instead of simply deciding and implementing an EHR integration bridge, involve clinicians in the process and consider their pointers while designing. Furthermore, provide proper training to your clinicians so that the resistance can be met with acceptance.

High Costs & Resource Constraints

The basic misconception about EHR integration is that the cost of integration is limited only to development, licensing, and basic implementation charges. However, a simple roadmap is more complicated than it is thought. You see, the project will often meet with unexpected technical and operational complexities, such as integrating multiple systems, different systems using different data formats, and, most concerning, inconsistent data structures.

While these complexities can rage on, these are the factors that often lead to budget overruns and resource strain. To complicate this process even more, if your resources lack skilled integration expertise, then good luck with your integration project.

However, one of the best ways to address this EHR integration issue is to use a phased implementation process. This will give you a clear idea about project intricacies, as the implementation process starts, prioritize high-impact integrations first.

Testing & Validation Complexities

Testing healthcare data integration is still a challenge. You see, during the integration process, you test the bridge in a limited environment and dataset. This might give you a green light to go ahead and implement the integration.

However, validating the integration for real-world scenarios becomes difficult. And this has been one of the major concerns for healthcare providers opting for custom EHR integration.

So, how can you validate and test your EHR integration effectively?

The answer to this lies in the standardization of the process. You have to develop a structured testing framework and validation process, so that no stone is left unturned.

Scalability & Performance Challenges

The complaints about systems unable to handle large-scale data exchange have become increasingly common. There have been instances when the performance of the EHR integration has been dipping as the data sets increase.

Well, one thing you need to realize here is that the data of your system will increase with each passing day. And if scalability aspects of your EHR integration are not addressed, the system simply isn’t capable of handling that load. This results in latency and dipping performance as mentioned above.

So, how can this be solved?

The answer to this lies in the architecture of the EHR integration. Use a scalable and cloud-based architecture so that scalability does not become a problem.

Post-Integration Maintenance & Monitoring Issues

We have covered all 10 top EHR integration challenges and how to overcome them above. However, like every IT project, the real work starts when the project is deployed. And not surprisingly enough, there are challenges in this as well.

You see, the integration performance is often invisible. And if the integration bridge collapses after deployment, then only then will you know that something is wrong. Having said that, the lack of visibility can result in monitoring hindrances, and since it creates a barrier in identifying the issues, you simply can’t solve them.

So, to overcome this, you need to sit down with your IT partner and implement a continuous monitoring mechanism that allows you to monitor the performance of your custom EHR integration. Once that is done, you can easily identify and address these issues and optimize accordingly.

Furthermore, you can also use AI to predict and prevent integration failures, as it can fill in the necessary gaps for seamless data transfer.

How to Effectively Manage EHR Integration Challenges

If you have made it till here, then you must be quite overwhelmed with all the challenges that you are most likely to face, right?

Well, worry not! You can effectively manage EHR integration challenges with our tried and tested methodology:

• Conduct System & Data Assessment: The very first step before starting your integration journey is to assess your system and data. This is to check whether your system is suitable for integration or needs certain changes to make it better. If it is required, then take necessary steps to make your system ready for EHR integration.

• Align with Stakeholders: Before kick-starting the process, ensure that all the stakeholders—clinical, technical, and operational—are aligned and all their considerations are taken into account.

• Phased Rollout Strategy: Instead of directly implementing everything, use a phased rollout strategy so that minimal disruption can be faced, and certain EHR integration problems can be addressed early.

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