Home/Services/GCP-compliant studies

Research phase 03

GCP-compliant studies

When image analysis data is going into a regulatory submission, the number is only half the deliverable. The other half is the evidence that the number was produced under control — by trained people, following approved procedures, in a validated environment, with every step recorded.

Analysis inside a controlled quality framework

We operate a quality management framework that provides a structured environment and the associated processes to ensure image analysis and reporting activities are performed to written SOPs and against a predefined statement of work. Nothing about a run is improvised.

  • Written procedures

    Standard operating procedures covering image receipt, QC, annotation, algorithm development, verification, analysis, reporting, archiving and deviation handling.

  • Trained and recorded personnel

    Role-based training records, documented competency, and a defined approval chain for each activity.

  • Validated environment

    AI-enabled image analysis runs within a scalable, access-controlled cloud environment that has been built and validated inside the existing quality framework.

  • Audit trail

    Every analysis run records who ran it, when, on which images, with which algorithm version and which parameters. Records are retained and retrievable.

  • Deviation management

    Departures from the SOW or the SOPs are logged, assessed for impact, and reported in the study documentation rather than absorbed quietly.

Does your study need a GCP environment?

Yes, generally

Regulated use

Image analysis endpoints that form part of a clinical trial dataset, feed into a submission, support a companion diagnostic claim, or will be inspected.

Usually not

Exploratory use

Internal decision-making, target validation, publication figures and early translational work. Our standard clinical service already carries QC and algorithm locking.

Not sure which side you fall on? Send the protocol section describing the endpoint. It is usually resolvable in one conversation, and moving up a tier later costs more than starting there.

What the study file contains

Doc 01

Statement of work

Approved scope, endpoints, acceptance criteria and delivery schedule, signed by both parties before work starts.

Doc 02

Image analysis plan

The pre-specified method: annotation rules, algorithm approach, verification criteria and the definition of a pass.

Doc 03

Verification record

Ground-truth comparison results, agreement statistics, and the sign-off that locked the algorithm.

Doc 04

QC records

Per-image and per-batch quality control outcomes, including every exclusion and the reason for it.

Doc 05

Deviation log

Any departure from plan, its impact assessment, and the corrective action taken.

Doc 06

Final report

Results, methods, personnel, software versions and environment details, in a form suitable for inclusion in a submission.

Planning a regulated study?

Bring us in while the endpoint is still being written. Pre-specifying the image analysis plan is far cheaper than retrofitting one.