Success story
Alliance Medical: Automating Clinical Data Validation with Rule-Based Flagging
How a leading medical company replaced manual clinical data validation with an automated, rule-based system that laboratory staff could trust and manage themselves.
increase in efficiency
validation rules defined
by medical staff
integration
with existing
management systems
retained by clinical
personnel at every step
In Alliance Medical’s diagnostic centers across Europe, thousands of laboratory analysis results arrive daily, and every single one needs to be checked.
In traditional diagnostic workflows, that means reviewing outputs one by one to confirm plausibility and flag anything that loooks off. Necessary work, but difficult to sustain at scale across multiple centers. Qualified clinical staff were spending a growing share of their time on routine clinical data validation, instead of focusing on the cases that actually required their judgment.
Alliance Medical is a leading European provider of diagnostic imaging services, offering advanced scans such as MRI and combined functional imaging, alongside radiopharmacy solutions. Operating across multiple countries, the group combines technology, outsourcing services, and clinical expertise to improve patient access, outcomes, and healthcare efficiency.
Connecting data validation rules to live laboratory data
To redesign the validation workflow, Rulex implemented an intelligent automation solution built around the expertise of the medical staff themselves.
Drawing on their field experience, laboratory personnel defined around 100 data validation rules using intuitive plain-English syntax in a familiar Microsoft Excel file. Some rules were purely analytical; others incorporated contextual patient information, such as a glucose level acceptable for elderly patients but not for younger ones.
The file containing the validation rules was then connected to live laboratory data through a business rules engine. Thanks to Rulex Platform’s healthcare data integration software capabilities, the data to be validated could easily be imported from from databases, local files, SharePoint, or other sources.
From that point, clinical data validation ran automatically at runtime. Cases falling within pre-defined plausible thresholds could be approved directly or set aside for optional review. Borderline or uncertain cases were automatically flagged and routed to clinical staff, so their expertise could be focused on the cases that truly required manual assessment.
A more efficient clinical data validation workflow with automation
Once integrated into the company’s core management system, the solution developed in Rulex Platform began delivering measurable improvements across the operation:
- Medical staff could define, edit, and update the validation logic themselves in the spreadsheets – no engineering support required for coding – building immediate trust in the system.
- Routine validations were handled automatically, freeing clinical time for genuinely complex cases.
- Blood test results flowed directly from the company’s management system into Rulex Platform for validation, then back out for patient report generation and printing – without disrupting daily operations.
- Because the solution was deployed within the customer’s own infrastructure rather than as a SaaS application, sensitive clinical data remained inside the organization’s security perimeter at all times.
- The consistent application of rule-based validation reduced operational risk by minimizing human error and ensuring standardized, traceable decision-making across all diagnostic centers.
An efficiency increase of over 80% in laboratory result validation was achieved, improving both revenue and clinicians’ ability to focus on higher-value work.
Tech point
Take a closer look at the core Rulex Platform capabilities behind this clinical data validation solution
01. On-premise deployment
Rulex Platform can be deployed on-premise across local server or private cloud environments. This allows sensitive patient data to remain within the organization’s own infrastructure, while giving organizations full control over how and where their data is managed.
02. Business rules engine for healthcare
Rulex Platform enables domain experts to define and manage data validation rules using simple if-then logic, without the need for scripting or coding. Rules can be created and maintained in familiar environments such as Excel, making them easy to test and update.
These rules are then connected to live data through a drag-and-drop environment. At runtime, Rulex’s business rules engine automatically applies the logic, evaluating each record against the full set of conditions as data is generated, ensuring consistent and traceable execution while reducing operational risk.
03. Healthcare data integration software
Built on robust healthcare data integration software capabilities, the solution connects seamlessly to multiple data sources, including databases, local files, and SharePoint. Data flows automatically between Rulex Platform and pre-existing systems via APIs, enabling real-time validation without manual intervention or disruption to existing workflows.
04. Scalability
The solution was designed to scale seamlessly across multiple diagnostic centers and growing data volumes. As new rules, data sources, or validation scenarios are introduced, the laboratory automation solution adapts without requiring changes to the underlying architecture, ensuring consistent performance even in high-throughput environments.
05. Transparent and no-code
Rulex Platform enables a true no-code approach: the workflows behind solutions consist of drag-and-drop tasks, and medical staff can define, modify, and expand data validation rules directly in familiar tools like Excel. This removes dependency on technical teams and allows domain experts to maintain full control over the validation logic.
Why Rulex as a clinical data validation software
Most automation tools take control away from the people who understand the process best. Rulex Platform flips that dynamic by enabling clinical staff to apply their own expertise, automate routine activities, and stay in control of critical decisions without relying on engineers for every change.
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Frequently asked questions
How can diagnostic or clinical data validation be automated?
Clinical data validation can be automated by applying predefined validation rules to incoming data in real time. These rules evaluate each result against thresholds and contextual conditions, automatically approving routine cases while flagging abnormal or uncertain values for manual review.
How does Rulex's business rules engine support clinical data validation?
Rulex’s business rules engine applies validation logic automatically to incoming data, evaluating each record against a set of predefined data validation rules. In clinical settings, it ensures consistent, traceable, and real-time validation while reducing manual workload and operational risk.
Can non-technical medical staff manage and update the validation rules?
Yes. In no-code decision intelligence platforms, such as Rulex Platform, clinical staff can define and update validation rules using simple logic in familiar tools like MS Excel, without needing programming skills or technical support.
How does Rulex Platform handle uncertain or borderline results?
Cases that fall outside clear thresholds are automatically flagged and routed for manual review. Staff can clearly see the reasons why a certain case was flagged, and decide whether to approve, reject, or investigate further – retaining full clinical judgment for the cases that genuinely require it.