NexAura HMS Case study · Healthcare
Building a clinic management system with a private healthcare provider.
We developed NexAura HMS with a private healthcare provider. It brings patient records, appointments and queues, prescriptions, billing and refunds, and clinical notes into one system. AI drafts the consultation note, and the doctor reviews it before it is used.
The prototype is complete and the product is in testing.
Patient record view. Sample data.
- Client
- A private healthcare provider
- Built for
- Primary care clinics
- Status
- Prototype complete, in testing
- AI
- Drafts the consultation note for the doctor to review
The challenge
One system for the front desk, the consulting room and the accounts office.
The provider needed patient administration, appointments, prescriptions, billing and clinical notes to work as one system, not a set of separate tools.
Too many separate jobs
Patient records, appointments and queues, prescriptions, billing and refunds all had to work together.
Different people, different access
Doctors, front desk, lab and finance staff each needed to see and do only what their role allows.
AI had to fit the workflow
Help with clinical notes had to sit inside the consultation, not in a separate tool.
What it is designed to give clinics
Less paperwork, more of the doctor's attention.
The prototype is complete and in testing. These are the benefits it was built to deliver.
Up to 40%
Shorter consultations
Joined-up workflows and AI-drafted notes are designed to cut consultation time by up to 40%.
Design target, not yet measured in live clinicsListen, don't type
Notes drafted for the doctor
The consultation is transcribed and written up as a SOAP note for the doctor to review.
One system
Front desk to accounts
Patient records, appointments and queues, prescriptions, billing and refunds in one platform.
By role
Everyone sees what they need
Doctors, front desk, lab and finance staff each get the screens and access their job needs.
Reviewed first
Safe AI documentation
Transcripts and AI drafts can be checked and edited before they become part of the record.
Always works
No dependence on AI
Every AI feature has a manual route, so the clinic keeps running if AI is switched off.
What we built
The core of a clinic system, from the database up.
We designed the product around the work each person in a clinic does, and built a prototype that covers it end to end.
Platform and database
A secure database structure for clinical, administrative and financial information.
Patient records
Structured clinical information, with the patient's history in one place.
Appointments and queues
Booking, appointment management and the patient queue on the day.
Prescriptions and billing
Prescriptions, billing linked to each visit, refunds and adjustments.
Access by role
Role-based access, so each member of staff sees the screens their job needs.
The web app
A clear web interface, built and tested around the clinic's workflows.
Live transcription
The consultation is transcribed as it happens, and the transcript can be checked by a person.
AI-drafted SOAP notes
A structured SOAP note is drafted for the doctor to review before it is used.
AI-drafted consultation notes
The doctor talks to the patient. The note gets written anyway.
Transcription and AI-drafted notes were built as part of the consultation, with a review step before anything is treated as part of the record.
- A draft, never a decision. The doctor reads, corrects and approves the note.
- Review before use. Transcripts and drafts can be checked and edited first.
- Part of the record. Notes sit with the rest of the patient's clinical information.
Subjective
Dry cough for two weeks, worse at night. No fever. No weight loss. Non-smoker.
Objective
Temp 36.9°C. SpO₂ 98%. Chest clear on auscultation. Throat mildly inflamed.
Assessment
Post-viral cough, likely. No red flags.
Plan
Reassure. Steam inhalation. Review in one week if not settling.
Try it: press “Approve note”. Sample data.
How we approached it
Built around roles, review and clear screens.
Usability, workflow and access control were treated as core requirements from the start, not technical details to add later.
Journeys for each role
Each person's responsibilities shaped the workflow, the screens and the access rules.
Review before use
Transcripts and AI drafts can be checked and edited before they become part of the record.
Clear screens
Visible steps and clear separation between patients, appointments, finance, admin and notes.
Room to grow
The architecture supports continued development as the product moves beyond the prototype.
Where it is now
A complete prototype, now in testing.
We completed and validated the core prototype. The product is now in testing and continuing to develop towards deployment in clinics.
- Prototype complete. The core prototype was completed and validated.
- Architecture in place. The product architecture and user journeys are established.
- Major workflows covered. Clinical and administrative workflows are represented across the platform.
- AI notes demonstrated. Transcription and AI-drafted SOAP notes are working in the prototype.
Front desk view. Sample data.
See NexAura HMS as a product.
NexAura HMS is being made available to clinics. A demo takes about 30 minutes and is led by the team that built it.
- Built for primary care clinics and GP practices
- Prototype complete, in testing
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