Digital radiology depends on multiple systems that must work together: acquisition modalities, PACS, reporting platforms, image storage, result delivery portals, and external tools used by the institution.
When these components are not properly connected, operations can become slower and fragmented. Professionals may need to enter data more than once, search for prior studies in different places, manually confirm whether a study reached the system, or turn to the IT team to resolve tasks that should be part of the normal workflow.
Interoperability in radiology seeks to prevent this scenario. Its purpose is not only to allow two systems to exchange information, but to ensure that the right information reaches the right place, at the right time, and with the context required to support the diagnostic process.
For this reason, discussing interoperability is not only about technical standards. It is also about productivity, operational continuity, traceability, security, user experience, and the ability to grow.
Interoperability in radiology is the ability of systems used in diagnostic imaging to exchange, interpret, and use information in a coordinated manner.
This includes medical images, patient data, study information, reports, access permissions, available clinical history, distribution rules, and other elements involved in the radiology workflow.
In practice, an interoperable operation allows:
Interoperability is not limited to “connecting systems.” Two platforms may be technically connected and still create operational friction if data is not synchronized correctly, if users must repeat data entry, or if the clinical context remains separate from the images.
>> To understand the role of PACS within this ecosystem, also read What Is a PACS in Radiology and How Does It Transform Your Institution’s Operations?
Diagnostic imaging is an information-intensive operation. Each exam may involve administrative data, images, prior studies, clinical indications, reports, supplementary files, and users with different access levels.
When interoperability is weak, the institution may experience problems such as:
In contrast, when systems communicate properly, the workflow becomes more predictable. The institution can reduce rework, clarify responsibilities, and improve the availability of clinical information.
Interoperability also affects the radiologist’s experience. A specialist should not have to waste time searching for prior studies, checking duplicate data, or switching between systems that do not share information. The focus should be on interpreting the exam with as much context as possible.
A radiology workflow may vary depending on the size and complexity of the institution. However, certain components usually play a central role.
These are the devices that generate diagnostic imaging studies, such as computed tomography, magnetic resonance imaging, radiography, ultrasound, mammography, nuclear medicine, and other modalities.
Interoperability allows studies generated by these modalities to reach the appropriate environment with the data required for identification, visualization, and subsequent interpretation.
When this connection fails, studies may be incorrectly identified, exams may not reach the PACS, or data may need to be corrected manually.
The PACS is the system responsible for receiving, organizing, displaying, and distributing medical images.
Within an interoperable workflow, the PACS must connect with modalities, the reporting platform, storage, and other systems used by the institution. It must also provide access to the patient’s history and facilitate comparison with prior studies.
An isolated PACS can store images, but it does not necessarily address the entire operation. For the workflow to function, it must integrate with the rest of the ecosystem.
>> If the institution is evaluating a new platform, it can also read How to Choose a PACS for Radiology: 12 Key Criteria to Avoid Mistakes.
The radiology report is an essential part of the diagnostic process. Therefore, interoperability must address how the report is created, managed, reviewed, delivered, and linked to the images.
A reporting platform connected to the PACS can help professionals work more continuously by incorporating study information, providing access to key images, and distributing tasks in a more organized manner.
>> To explore this topic further, read What Is a Radiology Reporting Center and How Can It Increase Productivity Without Compromising Diagnostic Quality?
The volume of studies grows continuously. For this reason, storage should not be analyzed as an element separate from the radiology workflow.
The institution must define where recent and historical studies are retained, how prior studies are retrieved, which archiving policies apply, and how information availability is ensured when professionals need it.
Interoperable storage is not only about saving images. It also means that those images can be retrieved and used within the clinical workflow.
Interoperability also influences the delivery of information to referring physicians, patients, and other authorized users.
When the process is fragmented, the team may need to download files, send links manually, verify permissions, or confirm through other channels whether the recipient received the information.
A better-connected workflow allows studies and reports to be distributed more securely, traceably, and systematically.
In addition to the PACS, radiology operations may depend on other clinical or administrative systems, or on external platforms used by the institution.
Therefore, before moving forward with an integration project, it is important to map:
The objective is not to add integrations without clear criteria. It is to connect what truly affects operational continuity, efficiency, and quality.
Healthcare interoperability relies on standards that organize information exchange. In radiology, some of the most relevant are DICOM, HL7, FHIR, and DICOMweb.
They do not all serve the same function. Understanding their differences helps prevent incorrect expectations during an integration project.
DICOM is the standard most closely associated with diagnostic imaging. It enables medical images to be represented, stored, transmitted, and queried together with information related to the patient, study, series, and other objects.
In radiology, DICOM is fundamental for modalities, PACS, and other components to exchange studies.
However, the fact that two systems support DICOM does not mean everything will work automatically. Different objects, services, configurations, and behaviors must be reviewed and tested.
HL7 is widely used to exchange clinical and administrative information between healthcare systems.
In a radiology workflow, it may be involved in data such as admissions, orders, patient information, demographic updates, statuses, or results, depending on each institution’s architecture.
While DICOM is especially related to medical images, HL7 commonly appears in the flow of clinical and administrative data surrounding the process.
FHIR is a more recent standard within the HL7 ecosystem. It is designed for the electronic exchange of health information through resources that can be combined for different use cases.
In modern projects, FHIR may be used when the institution seeks to integrate applications, web services, portals, clinical systems, or digital solutions that need to query or exchange information more flexibly.
It does not automatically replace all existing standards. It may coexist with them, depending on the architecture and the needs of the project.
DICOMweb brings DICOM services to the web environment. Depending on the available implementation, it can be used to query, retrieve, store, or access DICOM objects through web services.
It may be relevant in modern architectures, web viewers, portals, or environments where image access must be integrated with digital applications.
As with any standard, its availability does not eliminate the need for testing. The institution must verify which services are implemented and how they respond in real-world scenarios.
In addition to standards, many integrations rely on APIs or custom developments.
This can be useful when there is a specific business or clinical workflow need. However, custom integrations must be assessed carefully because they can increase technical dependency if they are not properly documented or if maintenance responsibilities are not defined.
The best integration is not always the most complex. It is the one that supports the workflow in a stable, secure, and sustainable way.
An institution may have connected systems and still not have a truly interoperable operation.
Technical connectivity answers questions such as:
True interoperability requires additional questions:
This distinction is important. A connection may be technically successful but operationally insufficient.
For example, if a study reaches the PACS but the report remains in another system without a clear link, the workflow is still fragmented. If an integration sends incomplete data and the team must correct it manually every day, the connection exists, but it does not solve the problem.
Interoperability must be assessed from the real experience of the people who use the system.
An institution does not always identify a lack of interoperability as the primary cause of its difficulties. It is often perceived as a “delay,” “disorganization,” “system failure,” or “team overload.”
Common signs include:
These signs indicate that the problem may not lie in a single tool, but in how the tools interact with one another.
Choosing or modernizing a PACS should not be limited to reviewing viewer features. It is also necessary to analyze how the system will connect with the rest of the operation.
The institution must review which standards the solution supports, which services are available, and the scope of that compatibility.
A generic reference to DICOM, HL7, or DICOMweb is not enough. It is important to understand which operations are supported, with what restrictions, and under which conditions.
Before implementing a new platform, the institution should map its current systems and define which information must flow between them.
This analysis makes it possible to anticipate dependencies, avoid surprises during implementation, and reduce subsequent manual tasks.
Interoperability also requires control. Not all users should access the same information or perform the same actions.
A platform should allow profiles, permissions, and traceability to be managed according to the institution’s needs.
Access to the patient’s history is one of the most important functions in radiology. The institution must evaluate how prior studies are retrieved, how long retrieval takes, and whether professionals can compare exams without leaving the workflow.
The image and report must remain linked. If professionals interpret in one system and report in another, the integration should reduce steps rather than add complexity.
>> In institutions with remote work or distributed specialists, this point becomes even more relevant. To learn more, read Teleradiology and Remote Reporting: How to Reduce Turnaround Times with a Reporting Center Integrated with the PACS.
An operation with multiple sites needs clear rules for sending, accessing, reporting, and storing studies.
Interoperability must support that growth without forcing the institution to create parallel processes or manual solutions for each new site.
Every integration must preserve the confidentiality, integrity, and availability of information.
It must also make it possible to audit access, relevant actions, and workflow events. Interoperability should not be achieved at the cost of losing control over data.
Interoperability is not defined only in a technical specification. It is proven during implementation, testing, and day-to-day use.
Therefore, the provider must support requirements gathering, configuration, validation, and adjustments after go-live.
>> This point is part of a broader decision: it is not only about acquiring technology, but about adopting it correctly. Learn about The Difference Between Buying Software and Adopting a Radiology System.
DICOM is essential in diagnostic imaging, but on its own it does not cover all the data, processes, and integrations within an institution.
A radiology operation may also require the exchange of clinical and administrative data, permissions, statuses, reports, and workflow events.
Some institutions document systems but do not document how people work.
Before integrating, it is necessary to understand:
Without this map, the project may connect systems while leaving day-to-day operations unresolved.
Errors in identification, orders, sites, dates, or patient data can affect the search for and interpretation of a study.
Interoperability must account for both the images and the data required to locate and use them correctly.
An integration may appear correct from an IT perspective but create difficulties for radiologists, technologists, or administrative staff.
Validation must include real users and representative scenarios.
Some manual tasks may be necessary during a transition. The problem arises when they become a permanent part of the workflow.
If someone must correct, resend, search for, or reconcile information every day, the integration is not solving the underlying problem.
Integrating systems does not mean opening access indiscriminately.
Each workflow must define who can view, modify, send, retrieve, or distribute information. It must also establish how those actions are recorded.
An institution may adopt advanced technology and still maintain disconnected workflows if it does not address interoperability from the outset.
The result may be a collection of modern tools that fail to improve the operational experience.
Interoperability must translate into a more organized workflow for the institution. In radiology, this means connecting images, reports, storage, and result distribution coherently.
Pixeon’s radiology solutions for Latin America focus on Pixeon Aurora PACS, the Reporting Center, and intelligent cloud-based medical image management.
Pixeon Aurora PACS enables the capture, visualization, interpretation, storage, and distribution of medical images to be managed.
Within an interoperable operation, the PACS plays a central role because it connects the receipt of studies with access to patient history, exam comparison, visualization tools, and image distribution.
It can also help reduce repetitive tasks when properly integrated with the rest of the radiology workflow.
Pixeon’s Reporting Center is a cloud-based solution for creating, managing, and delivering radiology reports.
Its integration with Pixeon Aurora PACS allows the reporting process to be more closely connected to image visualization and task distribution.
This can be especially helpful in operations with remote professionals, distributed sites, or high study volumes.
Aurora Drive complements the radiology ecosystem through cloud-based DICOM image storage.
Its role within an interoperable strategy is to help recent and historical studies be retained, organized, and retrieved with greater scalability.
>> To learn more about this solution, read What Is Aurora Drive and How Does It Support DICOM Image Storage in the Cloud?
>> You can also explore DICOM Images in the Cloud: How to Scale Radiology Storage Without Expanding Infrastructure.
The value of connecting PACS, reporting, and storage is not limited to reducing technical steps. It lies in enabling the operation to function with greater continuity.
A more integrated workflow can help:
>> To explore this approach further, read How to Connect PACS, Reporting, and Storage to Improve the Radiology Workflow.
Before choosing, modernizing, or integrating radiology solutions, verify whether your institution can answer these questions.
If several answers are unclear, the institution probably needs to review its interoperability strategy before moving forward with new tools.
Interoperability in radiology should not be understood as a secondary system feature. It is a necessary condition for images, reports, storage, users, and external platforms to work as part of the same workflow.
When systems operate as islands, operations become slower, more dependent on manual tasks, and more exposed to errors. In contrast, when information flows with structure, security, and traceability, the team can work with greater continuity and better clinical context.
Therefore, before choosing or modernizing a PACS, the institution must ask how that platform will connect with the rest of its operation.
The question is not only whether the system has good features. The question is whether those features can be integrated into a real, sustainable radiology workflow that is prepared to grow.
Interoperability in radiology is the ability of diagnostic imaging systems to exchange, interpret, and use information in a coordinated manner. It includes medical images, patient data, studies, reports, storage, access, and connections with the institution’s external systems.
Because it helps reduce duplicate tasks, identification errors, delays, manual searches, and information fragmentation. It also enables images, reports, and prior studies to be available within a more continuous and traceable workflow.
DICOM is used primarily for medical images and objects related to diagnostic imaging studies. HL7 is associated with the exchange of clinical and administrative information between healthcare systems. Both may participate in a radiology workflow, but they serve different roles.
DICOMweb is a family of web services associated with the DICOM standard. Depending on the capabilities implemented by each system, it can be used to access, query, retrieve, or store DICOM objects using web technologies.
FHIR is an HL7 standard designed for the electronic exchange of health information through resources. It can be used in modern integration projects involving applications, clinical platforms, portals, and digital services.
Not necessarily. DICOM compatibility is important, but true interoperability depends on how services are implemented, how systems are configured, which data is exchanged, and how the workflow operates in practice.
Duplication can occur when systems do not share information correctly, when identifiers are inconsistent, or when the team must manually complete data in more than one platform.
Integration between PACS and reporting links images, study data, and report production within a more continuous workflow. This helps reduce manual steps and facilitates access to the context required for reporting.
The PACS can connect to acquisition modalities, reporting platforms, storage, result portals, and external systems used by the institution. The need for each integration depends on the operational workflow and project objectives.
The institution should map its current workflow, identify connected systems, review supported standards, validate critical integrations, test real scenarios, involve clinical users, and define clear acceptance criteria.
Yes. An integration must protect access, permissions, traceability, and information integrity. Connecting systems does not mean opening data without control; it means allowing information to flow securely and in an auditable manner.
To learn more about PACS, reporting, storage, migration, and radiology workflow integration, read the following content:
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