Case study · Clinical research

Clinical research platforms

Three platforms for a global clinical research organisation.

Client
Leading clinical research organisation
Service
Design and development
Sector
Clinical research
Scope
ePRO, data lake and BI, site certification
Clinical research laboratory work, representing the trials the platforms support

Impact

What the three platforms changed

3platforms delivered

Mobile ePRO, a data lake with BI on top, and site certification. One client, three problems.

ePROhigher compliance

Higher compliance rates and improved data accuracy in trials, from flows a diverse patient population can actually complete.

1source of truth

A centralised data lake replacing information scattered across multiple systems, with faster decisions and less manual reporting.

Excelretired

Site certification moved off spreadsheets, so faster onboarding, fewer errors and no redundant re-certification.

The brief

Trials run on data nobody can afford to get wrong

The client is a global clinical research organisation. In that setting software is not a convenience layer, it is where trial integrity actually lives: whether a participant completed the right assessment, whether a reading came from a certified room, whether a number in a report can be traced back to its source.

Three separate problems came out of that. Participants were being asked to complete a complex web experience. Trial data sat in several systems at once, so reporting was manual and slow. And site certification, deciding that a room, a device and an examiner are cleared to produce study data, ran on spreadsheets.

Three platforms, one requirement underneath all of them: data you can defend.

The build

Accessibility as a data-quality decision

The ePRO module is the clearest case of the pattern. A trial's data quality depends on participants completing assessments correctly and on time, and participants in a trial are not a uniform audience. Translating the web experience into simple, accessible mobile flows was not a cosmetic exercise, it is the mechanism by which compliance rates and data accuracy went up.

The same logic runs through the other two. Unifying scattered data into one lake removes the reconciliation step where reporting errors are introduced. Moving site certification off Excel removes the redundant re-certification that happens when nobody can be sure what was already cleared.

Wow Labz designed and developed all three, plus the operational reporting interfaces on top: dense tabular detail and time series in one view, built for teams who need to find the exception rather than read the average.

The three platforms

What each one replaced

Mobile ePRO

A native mobile module inside the client's trial platform, translating a complex web experience into simple, accessible flows for a diverse patient population. Higher compliance rates and better data accuracy follow from that.

Data lake and BI

A centralised data lake unifying information scattered across multiple systems, with near real time visualisations and dashboards on top. One source of truth, faster decisions, less manual reporting.

Site certification

A central platform to certify rooms, equipment and personnel across ophthalmology study sites, replacing a process that ran on Excel. Faster site onboarding, fewer errors, no redundant re-certification.

Stack

What it was built with

  • Native mobile
  • ePRO
  • Material Design
  • Data lake
  • Power BI
  • Near real time
  • RBAC

Questions

The three platforms, answered

Who was the client?

A leading global clinical research organisation. The engagement is published without naming the client or its platforms, at the client's request.

What is the mobile ePRO module?

A native mobile module inside the client's clinical trial platform. It translates a complex web experience into simple, accessible flows for a diverse patient population, which lifted compliance rates and data accuracy.

What did the site certification platform replace?

An Excel based process. It centrally certifies rooms, equipment and personnel across ophthalmology study sites, so site onboarding got faster, errors dropped and certified sites stopped being re-certified redundantly.

What changed for trial data?

A centralised data lake unified information that had been scattered across multiple systems, with near real time visualisations and dashboards on top. That gave one source of truth, faster decisions and less manual reporting.

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