Whether it’s coronary angiography or complex structural heart procedures, seamless and technically precise procedural documentation carries real medico-legal and clinical weight long after the procedure itself.
By the end of a typical week, that translates into a high volume of clinically important communication — referral letters, diagnostic reports and procedural documentation.
For years, that workload was managed through a combination of typists and dictation software. Today, every referral letter, diagnostic report, and procedure note generated across A/Prof Roy’s practice runs through Medow.
The challenge in cardiology is not capturing information. It is turning complex clinical information into documentation that other clinicians can immediately understand and act on.
A/Prof Andrew Roy’s practice spans the full spectrum of cardiology — outpatient consultations, diagnostic testing and complex interventional and structural procedures. A single patient encounter can draw on findings from echocardiography, stress testing, Holter monitoring, cardiac CT and coronary angiography, alongside medication reviews and individual patient preferences. A cardiology consultation rarely follows a linear path. Discussions move between symptoms, imaging findings, diagnostic testing, medication decisions and procedural planning.
The cardiologist’s job is to bring those elements together, determine what is clinically significant and communicate a clear plan.
The documentation has to do the same.
That creates a fundamentally different challenge to producing a standard consultation note or referral letter. A Holter report requires interpretation, not just a list of recorded events. An echocardiogram report needs the right structure and terminology. A coronary angiogram report must communicate procedural findings with precision. A TAVI or LAA closure note carries an additional level of clinical and medico-legal responsibility.
The challenge is not transcription. It’s synthesis.
Generic AI documentation tools were designed to work across a broad range of clinical settings. Cardiology demands something more specialised: the ability to understand complex investigations, multiple document types and highly structured clinical workflows.
Like many cardiologists, I was looking for a way to reduce the cognitive load, remove friction from the documentation process, and finally get rid of the late-night letters.
Cardiology is one of Medow’s largest and most established specialties, with hundreds of cardiology clinics using the platform every week across Australia and New Zealand.
Over the past three years, Medow’s clinical AI team has worked closely with practising cardiologists and in-house doctors to continuously refine the platform based on real-world specialist workflows.
What makes that process different is how performance is measured.
Before new models are released, outputs are assessed against benchmark consultations reviewed by Medow’s clinical AI team and specialist advisors. These evaluations measure clinical accuracy, completeness, structure and alignment with specialist reporting expectations.
Medow’s in-house doctors also work closely with individual cardiologists to understand their documentation preferences, reporting style and workflow requirements, helping continuously refine the platform based on real-world specialist practice.
This ongoing collaboration between practising cardiologists, Medow’s in-house doctors and the AI team helps ensure the platform continues to evolve around the needs of specialist cardiology workflows.
That process has helped reduce average editing time for cardiologists by more than 300% over the past 18 months.
The result is documentation that is not only faster to review, but consistently aligned with the structure, terminology and reporting standards expected in modern cardiology practice.
For A/Prof Andrew Roy, the difference is visible in the quality of the output.
Medow has become very accurate at capturing the details that matter, focusing on the clinically relevant information and consistently structuring it in the way I want it documented.
For cardiologists, the question is not whether documentation can be generated. It is whether the output is accurate enough to trust.
An incorrect medication change. A missed qualifier in an angiography report. A finding that lacks the appropriate clinical context. These are not minor inconveniences. They have medico-legal consequences for patient care and ultimately carry the name of the clinician who signed the document.
For A/Prof Andrew Roy, confidence in the output came through repeated experience. Seeing the right details captured. Seeing reports structured correctly. Seeing documentation consistently reflect his clinical judgement.
I trust the details and the data that are captured in the form I wanted to capture them.
Over time, that confidence evolved into trust. Not just trust in the accuracy of the output, but trust that the documentation represented him correctly as a clinician.
When you actually trust the system, trust the accuracy of it, and trust that it’s representing you well, that’s a massive difference.
That trust changes what happens throughout the cardiology workflow.
The most immediate impact is inside the consultation room. Cardiology consultations often involve multiple investigations, complex decision-making and detailed discussions around treatment options and procedural planning. Those conversations require a clinician’s full attention.
When documentation can be trusted, that attention returns to where it belongs: the patient.
Instead of thinking about the referral letter, procedure note or report that still needs to be completed after the clinic, Andrew can focus on interpreting findings, discussing treatment pathways and having better clinical conversations.
I personally have taken huge relief and benefit from being able to sit in a consultation, have a chat with the patient, knowing that information will be captured in an appropriate way.
The impact extends beyond the consultation itself. Referral letters can be completed while the consultation is still fresh. Diagnostic reports become available sooner. Procedural documentation no longer accumulates at the end of the day.
For a busy cardiology practice, the result is not simply faster documentation. It is a more efficient flow of information between cardiologists, referrers, hospital teams and patients.
A/Prof Andrew Roy’s experience is the proof of concept. The question for a larger cardiology group is whether the same level of accuracy, consistency and trust can be maintained across multiple clinicians, workflows and document types.
The Medow cardiology model is built for that challenge.
Clinical accuracy and reporting consistency can be maintained across referral correspondence, diagnostic reporting and procedural documentation, while still preserving each cardiologist’s individual documentation style and preferences.
Successful adoption, however, requires more than technology alone.
Every cardiology practice operates differently. Workflows vary between clinicians, administration teams and hospital environments. Integrating AI successfully means understanding those workflows, adapting the platform accordingly and continuously refining the way it is used over time.
Having actually a customised and bespoke support service that is there if you need it, I think that’s a massive point of differentiation.
Every Medow customer is supported by a dedicated Customer Success Manager who works closely with both clinicians and administration teams. From implementation and onboarding to workflow optimisation, template configuration and ongoing support, the team helps practices get the most value from the platform.
Where needed, practices also have access to Medow’s clinical team, including in-house doctors who work directly with clinicians to refine templates, reporting structures and documentation workflows. This ensures outputs are not only accurate, but also aligned with the individual preferences, voice and reporting style of each cardiologist.
Rather than being left to navigate the technology alone, practices are supported by a team that understands both the operational and clinical requirements of specialist cardiology documentation.
Our admin teams need support too. They need to understand how to optimize workflows and integrate the technology into the practice.
For cardiology groups moving away from typists, dictation software or generic AI tools, this combination of specialist-grade cardiology AI and dedicated customer success support is what enables successful adoption at scale and what sets Medow apart from its competitors.The impact went beyond efficiency. It changed the pace of the clinic.
The result is not simply better documentation. It is a more consistent, efficient and scalable approach to clinical communication across the entire group.
Running a cardiology group in Australia or New Zealand?
See how Medow’s cardiology AI model fits your workflow at medowhealth.ai
