Industries

Interoperability is a data-quality problem wearing a standards costume.

Adopting FHIR does not make records interoperable if the underlying data is inconsistently captured. MENTARA works on the coding, identity and workflow beneath.

Discuss a healthcare priority Read the detail

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The sector's actual constraint

Healthcare interoperability is usually framed as a standards adoption problem, and standards adoption is the easier half. Two systems can exchange perfectly valid FHIR resources and still fail to produce a usable combined record, because the same clinical concept was coded differently, captured at a different point in the workflow, or attached to a patient identity that cannot be reconciled across organisations.

The consequence is that integration programmes deliver technically successful exchanges that clinicians do not trust and therefore do not use — reverting to phone calls and re-testing, which is the outcome the programme existed to remove.

The failure mode

Validated systems resist the change that would improve them.

In regulated environments, validation makes change expensive by design, and the rational response is to change as little as possible. Over time this produces systems that are compliant, stable and progressively less fit for how clinical or laboratory work is actually done, because every improvement carries a revalidation cost that nobody wants to fund.

The workaround is spreadsheets. Where the validated system does not support the real workflow, the work moves into unvalidated tools alongside it — which is worse for data integrity than changing the system would have been, and is invisible until an audit or an incident surfaces it.

The third pattern is patient and subject identity. Matching records across organisations without a reliable common identifier is a probabilistic exercise with real clinical consequences at both ends: a false match merges two people's records, a false non-match fragments one person's care. This is treated as a technical matching problem when it is substantially a data capture and governance problem.

Priorities

Where the work usually sits.

01Interoperability that clinicians trustCoding consistency, capture workflow and identity resolution alongside the standards work — because the standard is rarely what is failing.

02Clinical and research data platformsData foundations for analytics and research with provenance, consent status and access control treated as first-class rather than retrofitted.

03Change inside validated environmentsRisk-based validation approaches and automated evidence that make improvement affordable rather than exceptional.

04Identity and accessAccess models that fit clinical reality — shared devices, shift patterns, emergency access — without becoming a shared-account workaround.

05Data protection across regimesHealth data under HIPAA, GDPR, the DPDP Act and sector-specific rules, established per engagement rather than assumed.

06Legacy clinical system integrationWorking with systems that will not be replaced soon, through explicit contracts rather than accumulated point-to-point interfaces.

Questions

What buyers ask.

Can you work in GxP-validated environments?

We can work on the strategy, architecture and data engineering around them, and on making validated change more affordable. We are not a validation services provider and do not offer computer system validation as a service — that is a specialist discipline and you should use a specialist.

How do you handle patient data?

Our default is that identifiable data stays in your environment and that we work inside your access controls, with synthetic or de-identified data used wherever it is sufficient. Data residency, legal basis and controller/processor roles are established in scoping before access.

We hold no security certification today. In this sector that is a material fact and it is stated in full on the trust and security page.

Where MENTARA fits best.

Scope

We fit interoperability and data work, integration architecture, delivery-pace improvement inside regulated constraints, and independent assessment.

Computer system validation, medical device software under a quality management system, and direct clinical system implementation are specialist disciplines better served elsewhere.

MENTARA was incorporated in July 2026 and has no published client work in this or any sector, so the quality of the thinking on this page — and in a first conversation — is what there is to judge us on.

Where this connects

Services

Workforce model

Permanent Recruitment