Interview with Martijn de Groot, Product Manager at G2 Speech
Healthcare is under intense pressure. Every week, clinicians are juggling increasing patient demand, heavy administrative workloads, and ever-growing amounts of data - all while trying to maintain the highest standard of care.
The role of AI in this environment is no longer theoretical or optional, it’s becoming essential. Not because it replaces clinical expertise, but because it frees clinicians to use that expertise where it has the biggest impact: with their patients.
In this article, we interview Product Manager, Martijn de Groot who shares his experiences of working closely with clinicians and how clinically proven AI is shaping a more sustainable, patient-centred future.
What are the realities of administrative pressures in healthcare?
Documentation demands consume far more time and energy than anyone would like to admit. Typing notes, updating EHRs, writing letters, completing forms… It all adds up. These tasks are crucial for safe and coordinated care, but they pull clinicians away from the people sitting in front of them.
What I hear consistently is that when clinicians spend less time wrestling with documentation, the overall pace of their day feels more manageable. They’re not constantly splitting their attention between the patient and the keyboard. They’re not carrying unfinished work home. There are fewer loose ends at the end of a shift.
And this matters. Overloaded workflows can lead to delays, communication breakdowns, and sometimes errors - especially when information isn’t captured or shared quickly enough. Both patients and staff feel the strain.
Addressing these inefficiencies isn’t just a productivity exercise; it’s a direct route to better clinical quality and healthier working conditions.
How is AI becoming part of the solution to support healthcare admin pressures?
Over the past few years, I’ve seen AI mature from an interesting innovation into a genuinely transformative tool inside clinical workflows. Automating tasks like documentation, data entry, and summarisation doesn’t just save time, it reduces cognitive load too.
And when clinicians aren’t mentally drafting a note while conducting an assessment, they can be fully present with the patient.
But AI also improves patient care more directly. Structured summaries, clearer documentation, and reduced manual input lead to:
- Faster, more accurate information flow
- Earlier identification of risks
- Fewer missed details
- Better continuity between teams
- More consistent, personalised plans.
AI-generated documentation makes a real difference at points of handover. Notes become tighter, more coherent, and far less prone to gaps. When the reasoning behind a plan is captured properly, follow-up care tends to flow much more smoothly.
How are tools like Aida and SpeechAmbient supporting clinicians?
Two of the tools I work with every day are Aida and SpeechAmbient. They are designed to give clinicians a lighter, more sustainable workload while improving patient interactions.
SpeechAmbient
SpeechAmbient sits quietly in the background during consultations and captures the real clinical conversation without getting in the way. It distinguishes speakers and produces structured summaries ready for the EHR. Clinicians tell me they feel more present because they’re no longer trying to listen and type at the same time.
Aida
Aida helps refine, summarise, and restructure notes in real time. It manages multilingual transcription, reduces errors, and integrates tightly with our existing platforms, producing clean, accurate, clinically focused documentation.
What is the feedback from clinicians after adopting these AI speech technology tools?
A few themes come up again and again:
- A lighter cognitive load: they’re not starting with a blank page.
- More presence in the room: no mental multitasking.
- Finishing documentation on time: small change, big impact on evenings and wellbeing.
- Stronger communication: structured, consistent notes reduce ambiguity.
These benefits directly translate into better patient care - more attention during consultations, fewer missed details, and clearer information for every clinician involved in treatment.
How does G2 Speech ensure accuracy, reliability, and security in AI speech technology?
We treat accuracy and reliability like any other clinical-grade component: continuous measurement, testing, and real-world evaluation with clinicians. Every release goes through structured validation and evaluation. Security is handled with the same significance. Data is encrypted in transit and at rest, access is tightly scoped, and we run regular third-party audits.
A big part of the trust equation is minimising what we store in the first place. Automated data retention ensures that data is stored as long as needed, so there isn’t a growing archive of sensitive recordings sitting somewhere. We have a Clinical Safety Management System (DCB0129) that helps us do frequent risk assessments to limit the impact of mistakes. We also have our own AI Validation Framework that helps us create reliable and clinically safe products. The product is registered as a medical device Class 1 in the UK and the EU. Regulation in this area is growing and it is important to us. It helps us improve in the most vulnerable aspects and we want to make the best products.
What does the future of AI in healthcare look like?
I see AI becoming more of a quiet companion in the clinical workflow rather than another task to manage.
We’re moving toward more agentic behaviour:
- Surfacing relevant history at exactly the right moment
- Gently prompting for missing details
- Letting clinicians adjust output simply by speaking
- Applying structured coding like SNOMED in the background
The development I’m most excited about is the shift from a passive scribe to a supportive partner. Imagine AI proposing likely next steps, nudging when a detail is missing, or helping prepare documentation before anyone needs to ask - all while keeping clinicians completely in control. These small improvements add up to real breathing room in the day.
How does G2 Speech make sure the solutions really fit the needs of clinicians?
Clinician feedback has shaped what SpeechAmbient has become today. It informs everything - from specialty-specific summaries to interface details like button placement and workflow speed.
Most of the features you see today exist because we spent time observing clinicians, understanding their frustrations, and designing tools that fit naturally into their flow rather than forcing new habits.
A more sustainable, patient-centred future
Clinically proven AI is helping address some of the biggest pressures facing modern healthcare. Tools like SpeechAmbient and Aida show how technology – built with accuracy, reliability, and clinician input at its core – can improve both the workflow and the patient experience, combining advanced software with purpose-built hardware provided by our partners, Speech Processing Solutions.
By capturing conversations accurately, generating structured notes, and easing the documentation burden, AI allows clinicians to focus on what matters most: providing safe, personal, compassionate care.
If you’d like to see how these tools could support your team, request a demo with one of our experts.