AI with a purpose: why the right tools matter for modern healthcare

by Dr Andrew Whiteley, founder and Managing Director of Lexacom

There’s no shortage of AI startups in healthcare. In particular, ambient scribes have flooded the market, offering a simple and compelling promise, to turn conversations into clinical notes. For busy clinicians, this is genuinely valuable, but documentation is just one part of a larger process.

Clinicians need more than notes, they need letters, workflows, coding, communication, and a way to work seamlessly without switching between systems. Focusing on a single feature risks solving one problem and leaving others untouched. The real opportunity isn’t just AI, it’s AI with purpose, part of something that supports the full clinical workflow.

Beyond the scribe: supporting the whole workflow

Ambient voice technology is a powerful tool, and it’s easy to see why it has gained so much traction. Summarising consultations and meetings removes the need to type notes afterwards, easing one of the most time-consuming parts of the day. However, creating documentation is only a starting point.

Drafts need to be reviewed and approved, notes need to be structured into usable outputs such as referral letters and reports. In many cases, this means exporting text into another system and managing the next steps separately. The initial time saving can quickly be diluted by the work that follows.

Lexacom approaches this differently. Ambient AI sits within a wider platform that connects documentation to task management, workflows, smart speech recognition, and communication. From initial notes to completed processes, everything happens in one place, allowing information to move forward rather than stall.

AI is only useful when it is used safely

As the use of AI in healthcare grows, so does scrutiny, particularly around how patient data is handled. This is not a secondary concern, but central to trusting these technologies with the most important data, at scale.

Some solutions claim to protect data from AI models through redaction, but the redaction is processed by AI, exposing the data to the models it is supposed to avoid, raising understandable concerns.

Lexacom takes a different approach with Patient Shield®, which redacts personally identifiable data locally on the user’s machine, before any AI processing takes place, meaning identifiable data is never shared with AI.

It’s a straightforward principle, but an important one. If AI is to play a meaningful role in healthcare, privacy needs to be built into the process, not added afterwards.

Intelligence to fit the job

Not every challenge in healthcare requires AI. While extraordinarily powerful, by nature it can introduce variability where consistency is needed. Clinical documentation requires predictable, structured outputs that can be relied on, every time.

Lexacom’s Comprehension Engine® was launched in 2021 to meet this need. It applies a unique form of intelligence, that understands medical language and offers abbreviations, detailed descriptions, and patient-friendly definitions, both in live transcription and existing text.

The resulting platform offers a balanced approach. AI is used where it adds value, and other methods are used where they are more suitable. That flexibility is what allows the system to support real-world clinical work, because in healthcare the right tool matters just as much as the technology behind it.

Read more about Comprehension Engine® and our groundbreaking speech recognition.