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UI test automation validating clinical trial software dashboard
Healthcare

Clinical Trial Management Automation: How UI Testing and RPA Accelerate Pharma, Healthcare and Biotech

In pharma and biotech, speed to market and airtight compliance can mean the difference between delivering a life-saving treatment on time or facing months, sometimes years, of costly delays. Yet, even with advanced clinical trial management systems in place, data issues, integration failures, and workflow disruptions can derail timelines, inflate costs, and impact patient safety. Only 20% of clinical

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Healthcare

Delivering Reliable, Accessible Patient Portals with UI Test Automation

The Challenge Rolling out a hospital patient portal that works seamlessly across devices and platforms is not just a technical milestone, it is a critical service improvement. Patients need to be able to check test results, book appointments, and request repeat prescriptions quickly and securely. The complexity lies in ensuring the portal is accessible to

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Typing on technology ipad testing
Healthcare

Accelerating Pharmaceutical Submissions with RPA

The Challenge Preparing multi-country pharmaceutical submissions is a resource-intensive process. Even with experienced teams, the task of gathering data, formatting for different markets and regulatory regions, and ensuring consistency across hundreds of documents remains slow and labour-heavy.  Manual handling increases the risk of inconsistencies and errors, which can lead to re-work, missed deadlines, and delayed

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Medical person holding technology badge
Healthcare

Revolutionising the Healthcare Supply Chain: Why Automated Testing and RPA Are the Cure for Outdated Systems

In the wake of the COVID-19 pandemic, the fragility of global healthcare supply chains was laid bare. From delayed vaccine distribution to shortages of critical medicines, bottlenecks revealed themselves at every stage. The truth is, while the science behind new treatments and technologies is advancing at remarkable speed, the systems designed to get these innovations

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Diagram comparing AI test automation failures in regulated and desktop environments with T-Plan’s secure, repeatable test automation platform across Windows, Linux, and mobile.
AI

Why AI Test Automation Fails in Regulated and Desktop Environments (And Why T-Plan Is the Safer Choice) 

Why One-Size-Fits-All AI Testing Does Not Work  As more organisations rush to adopt artificial intelligence for software testing, there is a growing assumption that AI is the best answer for every environment. In reality, many teams quickly discover that AI-based test automation does not suit every platform, industry or security model.  If your software depends

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I can't find anything that works with our old legacy systems...
Uncategorized

Struggling with Legacy Systems? Here’s How T-Plan Modernises Outdated Infrastructure Without the Cost of Replacement 

Legacy systems are the backbone of many organisations—but they often come with a heavy burden. In sectors like finance, healthcare, manufacturing, and government, these long-standing systems remain essential, yet their age and complexity make integration with modern automation tools incredibly challenging. As a result, teams are left relying on manual workarounds that are time-consuming, inefficient,

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Key Benefits of T-Plan
Article

Smarter, Faster, Flexible Testing: Benefits of Working with T-Plan

Finding a digital testing solution that’s efficient and reliable is crucial for businesses to maintain software quality and optimise performance. We’ve been pioneers in test automation since 1999, empowering companies across various industries with our cutting-edge automation solutions. Whether you have coding expertise or not, our innovative approach allows businesses to save time, identify errors

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legacy systems
Testing

How to test a Legacy system 

Many don’t realise it, but legacy systems power a significant portion of the technology we rely on daily. Industries like healthcare, finance, manufacturing, and utilities still depend on outdated software in production environments. In fact, legacy systems are so widespread that even critical banking infrastructure runs on COBOL-based systems from the 1960s. While modern apps

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