Smart triage. Human care.
Triagely is an AI-assisted clinical intake and workflow platform designed for busy primary and urgent care clinics.
The challenge
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Same day Appointments limited
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Phone wait times can be long
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Triage is vital but time consuming for clinicians
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Histories can be inconsistent
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Decision making needs to be fast and safe
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Clinician burnout
Manual triage consumes valuable clinical time and creates variability in prioritisation.
There’s a better way.
Meet Triagely
Triagely uses a clinician designed history taking AI powered algorithm to create structured patient histories in real time for faster, safer decision-making and triaging.
It doesn’t replace clinicians
It empowers them
Key Features
Clinician-designed and AI-driven symptom assessment algorithm
Structured intake and intelligent symptom analysis designed specifically for primary and urgent care.
Built for Safety & Accuracy
Designed to support clinical governance and maintain high standards of patient safety.
Seamless System Integration (coming soon)
Works alongside your existing practice management and clinical systems (MEDTech Evo Alex Apps).
Structured Clinical Summaries with urgency indicators
Concise, clinically relevant outputs that reduce documentation burden while enabling faster triage.
Automated Triage Prioritisation
Clear urgency scoring and appointment recommendations to optimise limited same-day capacity.
Operational Visibility
Insights into triage volumes, urgency patterns, and demand trends.
Benefits for your practice
Save Valuable Clinical Time
Reduce manual triage workload for nurses and doctors so they can focus on patient care.
Improve Same-Day Capacity Management
Prioritise the right patients at the right time without guesswork.
Reduce Wait Times
Faster triage means faster appointments and improved patient flow.
Enhance Patient Experience
Clear communication and quicker decision-making increase patient confidence and satisfaction.
Support Clinical Decision-Making
Data-driven insights that complement professional judgement.
Reduce Staff Burnout
Less administrative burden. More meaningful clinical work.
About Triagely
We have built a smart tool for the digital front door that is currently being refined through real-world use within New Zealand primary care settings, including at Naenae Medical Centre.
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The platform is designed to support healthcare teams through:
AI-assisted symptom intake
Triage workflow support
Clinical summarisation
Patient engagement
Administrative efficiency
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Our focus has been on helping clinics reduce communication and workflow friction while maintaining strong clinician oversight and patient-centred care.
Early operational experience has shown encouraging outcomes, including:
Reduced phone call and administrative burden by up to 50%
Patient histories available prior to consultation
Reduced history-taking time during appointments
Improved workflow visibility for nursing and acute care teams
Support for more focused clinician consultations
Complementary integration alongside emerging technologies such as ambient transcription tools
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We believe Triagely may be particularly valuable within larger healthcare networks or busy clinics where scalable workflow efficiency, staff wellbeing, operational visibility, and patient accessibility are increasingly important.
The story behind Triagely
Our Team
Dr Roland Ng
Co-founder, CEO
Dr Roland Ng is the founder of Triagely and a practicing clinician with a strong interest in clinical workflow design and patient safety.
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Triagely was created in response to a growing challenge in primary care: rising patient demand, limited same-day capacity, and increasing administrative burden on frontline teams. Roland saw firsthand how valuable clinical time was being consumed by unstructured histories and manual triage processes — often under significant pressure.
Triagely was built to support, not replace, clinical judgement. By combining structured medical logic with carefully governed AI language interpretation, the platform helps practices prioritise patients safely and efficiently before clinical review.
Roland’s mission is simple: to use technology responsibly to strengthen primary care — reducing unnecessary workload, improving patient flow, and preserving the central role of clinicians in decision-making.
Dr Michael Haymes
Co-founder, COO
Dr Michael Haymes is the co‑founder and COO of Triagely. With nearly 30 years of clinical experience in primary care.
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Dr Michael Haymes is the co‑founder and COO of Triagely, an advanced triage tool built by clinicians for clinicians to support busy general practice and urgent care clinics across New Zealand and Australia. With nearly 30 years of clinical experience in primary care across both rural and urban settings, he brings deep frontline insight into the realities of modern general practice. As co‑owner of a busy urban medical centre in Wellington serving 12,500 patients, and with his own full general practice, Michael understands first‑hand the clinical and financial resource constraints facing primary care.
A fellow of the Royal New Zealand College of General Practitioners and a graduate of Otago Medical School, Michael combines clinical credibility with a strong drive for practical innovation. He is a constant advocate for rethinking how primary care works, collaborating with colleagues to solve problems that impact care quality, clinician workload, and practice sustainability. His experience working with high‑needs populations and patients with complex care requirements strongly informs Triagely’s design, ensuring it supports safe, efficient, and sustainable care delivery for primary care teams across Aotearoa New Zealand and beyond.
Aidan Kang
Co-founder, CTO
Aidan leads the design and development of our AI systems, building the technology that powers its medical history–taking platform.
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As CTO, Aidan leads the design and development of the company’s AI systems, building the technology that powers its medical history–taking platform.
With a background spanning finance, entrepreneurship, and AI systems development, he began his career in data analytics and automation at BNP Paribas before transitioning into building AI-driven products and workflows.
Over time, he developed expertise in applying large language models to real-world operational problems, from executive job-matching systems to media generation pipelines and knowledge-graph tools that uncover customer pain points from social data. His interest in healthcare technology grew from both personal experience navigating medical care and a desire to reduce the strain on clinicians while ensuring patients feel heard and supported.
After meeting co-founder Roland and learning about the growing burden on general practitioners—particularly in complex frontline care environments such as New Zealand—he recognized that conversational AI could fundamentally improve how patient histories are gathered. He went on to architect and build the company’s system from the ground up, leading research and development on using large language models to collect accurate, structured clinical histories and help doctors focus more of their time on care rather than documentation.