Personalized Ordering System for Complex Customers

Customers have access to a vast array of laboratory tests: depending on the lab, they can order from several hundred to thousands of different parameters. Particularly in complex cases and interdisciplinary specialties, the need for modern support solutions is apparent.
Personalized Ordering System

In our series on the third-generation ordering system, we focus on end-users with complex inquiries.

By integrating various disciplines and data points, and selecting appropriate tests, the complexity of the diagnostic process can be reduced.

Integration of Various Laboratory Disciplines in One Cockpit

A central trend is the combination or integration of different diagnostic disciplines into one system. Currently, it is often the responsibility of the customers to determine which tests are conducted in which (external) lab or institute, requiring multiple orders to be placed in parallel. However, there are already approaches that allow different lab disciplines (e.g., clinical chemistry, microbiology, and genetics) to be ordered in a central ordering system. In the future, the inclusion of other diagnostic fields (e.g., radiology) is also possible.

An overarching ordering capability simplifies the ordering process for customers, but it offers significant advantages in terms of more efficient diagnosis when integrated report views are available.

Consideration of Various Data Points

For a comprehensive end-to-end diagnostic process, supplementary data points are increasingly relevant. From POC test results to Patient Reported Outcomes (PROMs), various data (sources) can be considered to create a holistic view of the patient’s situation.

At the same time, this may lead to storing certain data points secondarily in addition to primary systems like LIS/PVS/KIS. This is particularly relevant when using the FHIR Store as a potential storage solution.

Aside from the data level, different end-users of the solution must also be addressed (e.g., physicians, study nurses, and medical assistants), but especially patients will be increasingly involved. Therefore, patient-understandable content (e.g., patient-friendly report preparation) must also be considered.

Trends in Interface Design for Optimal Integration into the Diagnostic Workflow

We observe two trends in interface design: standalone applications that integrate with backend systems and offer significant benefits on their own. Here, users consciously decide to handle certain workflows, such as lab visits, in a dedicated system rather than in the PVS/KIS.

The other trend is deep integration into existing software solutions in practices and clinics to complement specific applications and support and enhance the existing workflow of physicians. Investing in partnerships to ensure a good user experience is crucial.

Especially in the clinical context, there are various forms of integration, such as through communication servers or existing messenger systems.

Use of AI in the Diagnostic Process

The opportunities offered by AI are manifold. They range from extracting data points from medical reports, which can be extracted from PDF or paper formats using OCR technology, to supporting diagnostics with targeted hints. The amount of data increases, but the effort for physicians remains the same.

Whether in oncology, nephrology, or rheumatology – wherever the lab plays a central role, AI applications can make a significant contribution.

In such a context, close collaboration and co-development with practicing users are of paramount importance. A deep understanding of the requirements enables the development of tailored solutions that provide real added value.


Amid the current advances in diagnostics, we no longer view the ordering system solely in the context of the pure ordering function. Instead, we see it as a modern diagnostics cockpit. This change reflects the transformation in laboratories, which are increasingly no longer positioning themselves purely as a “data supplier”, but as a central diagnostics service provider and partner.

Would you like to shape the future of AI in diagnostics with us? Contact us.

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