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Clinerion Patient Network Explorer technology used by the SPHN to enable feasibility queries on clinical data across all five of Switzerland’s university hospitals simultaneously

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Transitions expose unresolved weaknesses Acquisitions and site transfers can introduce conflicting procedures, incomplete knowledge transfer, or different assumptions about validated processes. Regulatory changes add further demands. When these events coincide with CAPA or change-control backlogs, teams may prioritize administrative closure over risk reduction. Without a coordinated impact assessment, local fixes can create new gaps downstream. Establish the Regulatory Baseline Inspection readiness starts with knowing which requirements apply to the product, activity, and market. Pharmaceutical, device, and combination-product obligations are not interchangeable; transfer planning should identify the applicable requirements rather than assume one quality framework covers every operation. 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Prioritize gaps by potential patient or user harm, regulatory impact, likelihood of recurrence, and detectability. Document the rationale; an old overdue item is not automatically more important than a newly identified high-risk weakness. Align Quality, Labeling, Packaging, and Change Control Create a coordinated remediation plan with one accountable owner for each action, named contributors, acceptance criteria, and required evidence. Separate immediate containment from systemic correction. Containment might prevent obsolete labels from being issued; correction might redesign approval and implementation controls so obsolete versions cannot return. Use change control as the integration point. Before approval, evaluate effects on regulatory submissions or notifications, technical documentation, supplier controls, packaging performance, validation, electronic master data, inventory, and training. Record both identified impacts and justified decisions that particular activities are unaffected. During technology transfer, define readiness gates before production or release responsibilities move. These should address the transfer of process knowledge, acceptance criteria, receiving-site capability, required qualification or validation, approved documents, and personnel competence. The appropriate evidence depends on the product and process; a generic checklist cannot replace a documented assessment. 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Clinerion Patient Network Explorer technology powers the Federated Query System (FQS) of the Swiss Personalized Health Network (SPHN), which operates across all five of Switzerland’s university hospitals. Via the FQS, authorized researchers can run feasibility queries for multisite data-driven research projects on clinical data in all five hospitals simultaneously.

Clinerion was selected by the Swiss Personalized Health Network (SPHN) to be the backbone of its Federated Query System (FQS) due to the unique nature of its patented federated cloud infrastructure, which allows patient data to remain inside the IT infrastructure and under the control of each hospital, while still allowing queries of anonymized and obfuscated patient data from other hospitals in the network.

The five university hospitals of Switzerland are:

 

  • Centre hospitalier universitaire Vaudois – CHUV (Lausanne University Hospital)
  • Hôpitaux Universitaires de Genève – HUG (Geneva University Hospitals)
  • Inselspital, Universitätsspital Bern – INSEL (University Hospital of Bern)
  • Universitätsspital Basel – USB (University Hospital of Basel)
  • Universitätsspital Zürich – USZ (University Hospital of Zürich)

The FQS allows researchers to verify the feasibility of their project by assessing whether suitable patient data for specific research questions exist at Swiss university hospitals. The available information in the system, currently more than 70 million data elements from over 450’000 patients, who have consented to the further use of their data for research purposes, is a subset of the clinical data of all five university hospitals.

The platform includes demographic data (age and gender), diagnosis (coded in ICD-10), procedures (coded in CHOP), medication (coded in ATC), laboratory tests (coded in LOINC) and laboratory test results with units (according to UCUM). Under the project lead of the SPHN Data Coordination Center (DCC) managed by the SIB Swiss Institute of Bioinformatics, the clinical partners harmonized and standardized the anonymized clinical information, making it available for federated queries via a common front-end.

The FQS uses a customized version of Patient Network Explorer, enabling researchers to search for fully anonymized clinical information across all five university hospitals, while allowing the hospitals to retain full control over their data. It fully complies with privacy requirements, since only aggregated search results are shared with users and small patient numbers are obfuscated to prevent potential re-identification.

”For the first time, it is now possible to run feasibility queries for data-driven research projects over all five university hospitals in Switzerland. This is a major step for SPHN,” says Dr. Katrin Crameri, Director, Personalized Health Informatics of the Swiss Institute of Bioinformatics. “Adapting the Patient Network Explorer technology to SPHN’s needs and specifications was necessary because the focus of the SPHN Federated Query System lies on data. We are confident that the customization in Patient Network Explorer for SPHN can also be beneficial for other research networks outside Switzerland.”

“We are very pleased to be able to announce this collaboration, our first closed network based on Clinerion technology, as it is in our home country of Switzerland,” says Baris Erdogan, CEO of Clinerion. “Even in a closed network, the federated, cloud nature of Patient Network Explorer offers great flexibility in assembling patient data access from across multiple data warehouses and silos while keeping the data within the IT infrastructure of each hospital. We foresee that this achievement can be used by other national networks, closed research consortia and other organizations who have collected data from multifarious sources, around the world.”

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Technology transfer moves more than manufacturing instructions. It moves process knowledge, supplier dependencies, labeling requirements, packaging specifications, and the evidence needed to demonstrate control. For medical device manufacturers, including those supporting drug-device combination products, these interfaces can become recurring sources of compliance gaps during site transitions, acquisitions, and remediation. The central problem is often not a missing procedure. It is a quality system that allows connected activities to change independently. A label revision may be approved while packaging artwork, supplier instructions, or production-system data still reflect an obsolete version. Staying inspection-ready requires manufacturers to manage these dependencies as one controlled system. 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