75%
of leading healthcare companies are experimenting with AI in software development

Today, consumers are already using artificial intelligence (AI) for healthcare needs, and healthcare leaders have already expressed activity, investment, and plans to implement it. And AI is finding its way to test automation, too. Companies integrating AI into their testing strategies reported that they release software faster, with fewer bugs and more confidence.
of leading healthcare companies are experimenting with AI in software development
HealthTech leaders see AI as a key driver for efficiency improvement
of executives believe AI enables faster, higher-quality decision-making
already have or plan to implement AI governance structures
This guide breaks down the foundations of sustainable test automation for HealthTech:
Understand the Need for Test Automation: navigate complex clinical workflows, hybrid devices, and integration with CTMS, EDC, and connected devices
Build a Sustainable Test Automation Mindset: prioritize long-term reliability, maintainable test suites, and cross-team collaboration
Maintain Test Automation Without Slowing Development: focus on high-value tests, CI/CD integration, and self-healing scripts
Avoid Common Pitfalls: Prevent “set-and-forget” automation, data mismatches, fragmented collaboration, and compliance risks
Leverage AI-Driven Automation: Accelerate testing cycles, predict defects, and gain actionable insights with AI
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Clinical trials are becoming faster, larger, and significantly more complex. Traditional approaches to data management can’t keep pace, but AI can accelerate speed-to-market via testing.

The revenue of the global digital healthcare market is projected to reach $549.7 billion by 2028. Learn how to create a robust test plan tailored for healthcare software to capitalize on this opportunity.

In this podcast, learn why a staggering nine out of ten digital health pilots fail to scale. The disconnect between ambition and reality leaves many leaders wondering: why is innovation in healthcare so difficult?
From strategy to execution, KMS helps HealthTech organizations deliver safer, more reliable software — faster.
Outdated practices, siloed automation, and brittle pipelines derail roadmaps, frustrate teams, and put releases at risk. When quality isn’t built in, it becomes a last‑minute scramble — slowing delivery and eroding trust. With the TMA, you'll receive:
A structured, four-week sprint that takes you from a high-value AI idea to a fully deployed, production-ready agent inside your real environment.
Our structured framework helps to assess and guide organizations in their adoption and implementation of AI technologies.
In five business days, we’ll help your team identify five high-ROI AI use cases designed to deliver measurable impact.
