Engagement · concept & ideation

Industry
Healthcare
Solution
Practice management
Engagement model
Dedicated product team
Engagement length
48+ months
Market stage
Live, stable & scaling
Team
5+ team members
Scope
Full-stack product engineering & cloud delivery
Platform
iOS · Android · Web
97%
Data sync success rate

Records created offline arriving intact once a device reconnects, without duplication or loss across offline-to-online transitions.

Reported across offline-to-online transitions

88%
Improvement in mobile performance efficiency

Achieved through optimised background synchronisation that batches requests by priority rather than polling continuously.

Reported post-launch, on the mobile application

43%
Reduction in administrative workload

Less manual re-entry and reconciliation for clinical teams, with records, appointments and billing resolving against one data layer.

Reported post-launch, platform-wide

Context

The situation before the platform

Why veterinary practices needed one connected EHR rather than records in one place and scheduling, billing and imaging in others.

The business

Veterinary care providers ranging from single-location clinics to multi-site healthcare networks, along with the practitioners and clinic staff who record consultations, log prescriptions and manage appointments every day.

The starting point

Clinical records, appointment scheduling, prescription management, diagnostic imaging and patient history sat apart from one another, leaving no single place to move a patient from intake through to post-care management.

The trigger

Practitioners work in low-connectivity and field-based settings. Records had to be created and updated with no internet connection at all, then synchronise accurately on reconnection without duplication, loss or race conditions.

What they wanted

One cross-platform EHR ecosystem covering patient history, prescriptions, SOAP notes, diagnostic imaging, scheduling and in-clinic billing, consistent across iOS, Android and web, online or offline.

Constraints

Complex, varied clinical workflows had to fit structured yet flexible database schemas · data had to stay consistent between a Flutter mobile app and a React/Node.js web platform · continuous background sync could not degrade app performance or device battery life · sensitive veterinary records demanded encryption, role-based access and audit trails from the outset.

System

What it runs at today

The platform as delivered, live across mobile and web in everyday clinical use.

Clinical workflow speed
33%
Improvement in the pace of clinical workflows reported after launch
Core capabilities
6
Offline sync engine, clinical records, cross-platform experience, scheduling, payments and secure infrastructure
Engagement length
48+
Months, with a dedicated product team through build, launch and scaling
Team size
5+
Designers, engineers and QA covering web, Flutter mobile, backend and cloud
The engineering problem

Five gaps that shaped the build from day one

Not vague pain points — the specific reasons spoken clinical detail was being lost, each paired with what we did about it.

0 1
Architecting reliable bidirectional synchronisation

Veterinarians had to create and update medical records with no internet connection. The hard part was what happens next: data synchronising accurately after reconnection without duplication or loss, across users and devices that may have edited the same record while apart.

What we did

A hybrid bidirectional sync engine with timestamp-based conflict resolution. Each reconnection triggers a reconciliation pass, and extensive conflict-resolution logic plus real-world testing covered the edge cases — conflicting updates and partial sync failures included.

0 2
Bridging veterinary workflows with technical structure

SOAP notes, prescriptions, diagnostic imaging and patient histories carry complex and varied data. Those workflows had to become structured but flexible database schemas that support diverse clinical requirements and stay maintainable over years, not months.

What we did

A dual-database strategy: PostgreSQL for structured clinical records where relational integrity matters, MongoDB for flexible diagnostic metadata such as imaging reports and diagnostic notes whose formats keep evolving.

0 3
Keeping data consistent across two platforms

The Flutter mobile application and the React/Node.js web platform had to agree at all times. Without that, duplicate records, race conditions and synchronisation inconsistencies would surface in exactly the clinical data that has to be trusted.

What we did

A shared API contract with a schema validation layer inside the Node.js backend, so both clients send the same shapes and inconsistencies are caught before they reach the database, backed by robust conflict-resolution mechanisms.

0 4
Continuous sync without draining the device

Background synchronisation had to run continuously without hurting application performance or battery life. Timely updates and efficient API usage pull in opposite directions, and clinical information still had to stay current on a phone carried through a full day of visits.

What we did

An event-driven background sync system that batches API requests by priority instead of polling. Critical clinical updates go immediately, lower-priority metadata is deferred, cutting network usage and preserving battery.

0 5
Integrations that behave like native features

Google Calendar for appointment management and Celero for payments had to sit inside existing clinical workflows rather than beside them, keeping data exchange reliable and the experience consistent for staff who never think about which system they are in.

What we did

Dedicated adapter layers for Celero and Google Calendar that map external data into the internal EHR structure, so payments, appointments and calendar updates synchronise with clinical workflows and manual reconciliation drops away.

0 6
Reliability during busy clinic hours

Many users reach clinical data at once when a clinic is full. The infrastructure had to hold up for a small practice and a multi-site veterinary organisation alike, without cost scaling as sharply as capacity.

What we did

An Amazon Web Services architecture balancing reliability, scalability and cost efficiency, with optimised backend services and auto-scaling to absorb peak clinic activity.

Architecture

How it fits together

Simplified — the shape rather than every service.

0 1 Clients
Flutter • iOS & Android • React.js • Redux Toolkit · Tailwind CSS

A Flutter mobile application for iOS and Android alongside a React web platform, sharing design standards and reusable components so clinical workflows stay the same when a practitioner moves from a phone at the kennel to a desktop at reception.

0 2 Gateway
Node.js • Express.js • TypeScript • Shared schema validation • Role-based access

One Node.js and Express API surface, typed end to end, enforcing a single contract for both clients. A shared schema validation layer sits here, as do role-based access policies for the different clinical roles.

0 3 Services
Offline sync engine • Clinical records • Scheduling Payments • Diagnostics & imaging

Each concern stands on its own, so the synchronisation engine, record management, scheduling, billing and diagnostic handling can be tuned or extended without destabilising the rest of the clinical workflow.

0 4 Data & infra
PostgreSQL • Prisma • MongoDB • AWS • Docker

PostgreSQL with Prisma holds structured clinical records while MongoDB carries flexible diagnostic metadata, all deployed with Docker on AWS for auto-scaling headroom as clinics and data volumes grow.

Offline capability was an architectural decision, not a feature added later: local-first data handling, timestamp-based conflict resolution and a reconciliation pass on every reconnection are what let a practitioner finish a consultation with no signal and trust the record afterwards.
Solutions

Six systems doing the actual work

Not a features list — the specific things we built behind every number above.

Hybrid offline-first sync engine

A bidirectional system with intelligent conflict resolution lets practitioners create and update records offline, handling concurrent updates, duplicate edits and sync edge cases without compromising data integrity.

Clinical record management

Structured data models cover patient histories, prescriptions, SOAP notes and diagnostic imaging, keeping clinical information organised and reachable from both mobile and web.

Cross-platform Flutter & React experience

One experience across iOS, Android and web built on shared design standards and reusable components, so switching device does not mean relearning the workflow.

Appointment & payment integration

Google Calendar integration simplifies scheduling and Celero payment integration supports in-clinic billing, connecting appointments, clinical visits and transactions in one workflow. Drag-and-drop scheduling makes daily adjustments straightforward.

Scalable AWS infrastructure

Optimised backend services, efficient API handling and auto-scaling deliver reliable performance at peak clinic activity, from a single practice through to a multi-location network.

White-label clinic themes

Practices customise the platform with clinic-specific branding and UI themes, keeping a consistent visual identity while running on shared EHR infrastructure.

Key features

What the platform does day to day

Five capabilities, each closing one of the gaps identified above.

Capability Runs Refresh What it does
Offline-first sync engine Local-first On reconnect Create and update clinical records without connectivity, with automatic bidirectional sync and conflict resolution when the device reconnects
Clinical record management Practitioner On save Manage patient histories, prescription logs, SOAP notes, diagnostic imaging and other essential records in one centralised system
Cross-platform experience iOS · Android · web Continuous Consistent clinical workflows across devices from a shared data layer and shared design standards
Appointment scheduling integration Clinic staff Calendar sync Synchronise appointments with Google Calendar and streamline scheduling, calendar management and staff coordination
Reliable data synchronisation Background Priority-batched Keep data consistent across mobile and web through optimised background sync and intelligent reconciliation
Secure & scalable infrastructure AWS Auto-scaling Secure access controls and optimised backend services supporting reliable performance as clinics and data volumes grow
Integrations

How the moving parts plug in

Scheduling, payments and analytics reach the platform through dedicated adapter layers rather than sitting beside it as separate tools.

External systems

Google Calendar
Appointment and schedule sync
Celero Payments
In-visit and in-clinic billing
Statsig
Product analytics
AWS
Cloud infrastructure and deployment
↓ through dedicated adapter layers and one API contract ↓

Platform integration layer

Node.js API layer
One contract for Flutter and React
Sync & reconciliation
Event-driven, priority-batched
Access control & audit
Roles, encryption, audit logs
↓ into the core services ↓

CORE SERVICES

Patient records
Prescriptions
Diagnostics
Appointments
Billing

Because the adapter layers map external data into the internal EHR structure, a visit, the appointment it came from and the payment it generated are one connected record rather than three systems to reconcile by hand.

SECURITY

What protects patient conversation data

The platform holds patient records, prescriptions and diagnostic material — so protection and traceability were designed in, not bolted on.

Role-based access control

Access policies cover the range of clinical roles in a practice, so each user reaches what their role requires without security getting in the way of everyday work.

Encryption at rest and in transit

Veterinary records are encrypted both where they are stored and as they move between clients, the API layer and the databases.

Detailed audit logs

Changes to clinical records are logged in detail, giving practices traceability over who altered what and when across offline and online sessions.

Reliable, scalable infrastructure

An AWS architecture balancing reliability, scalability and cost efficiency keeps clinical data available when many users reach it at once during busy clinic hours.

PROCESS

How we got there

A research-driven, architecture-first approach that started with how veterinary practitioners actually work rather than a feature list.

0 1
Discovery & clinical workflow mapping

Worked closely with veterinary practitioners on day-to-day workflows — prescription logging, patient history, diagnostic imaging and appointment handling — then translated them into practical data models and system requirements.

0 2
Data architecture

A dual-database strategy: PostgreSQL for structured clinical records and MongoDB for flexible diagnostic metadata, holding relational integrity for critical medical data while imaging and diagnostic formats keep changing.

0 3
Offline-first architecture & sync engine

A hybrid bidirectional engine with local-first data handling and timestamp-based conflict resolution, reconciling on every reconnection and handling partial failures and conflicting updates.

0 4
Cross-platform consistency

A shared data contract and a schema validation layer in the Node.js backend kept the Flutter and React clients aligned, catching inconsistencies before they reached the database.

0 5
Performance optimisation & QA

Optimised API patterns and event-driven background sync reduced needless resource and battery use, with comprehensive testing across synchronisation, performance, data integrity and system reliability in everyday clinical scenarios.

BUSINESS IMPACT

What changed for the business

Beyond the headline numbers, three things practices and practitioners noticed first.

Care that continues without connectivity

Practitioners update records, log prescriptions and complete consultations in low-connectivity settings, which made the platform particularly valuable for rural and field-based clinics.

97% sync success
One connected clinical ecosystem

Patient history, prescriptions, SOAP notes, diagnostics, scheduling and billing moved into a single platform, cutting administrative effort and letting teams work across devices more efficiently.

43% less admin workload
Room to grow, from one clinic to many

The scalable AWS infrastructure supports growth from single-practice clinics through to multi-location deployments without a change of platform.

Single site to network
COMMERCIAL OUTCOME

What the engineering choices are worth in operating terms

Every headline number traces back to a specific decision, not a vague platform effect.

ENGINEERING DECISION OPERATING OUTCOME MEASURED EFFECT
Bidirectional sync with timestamp conflict resolution Records created offline reconcile correctly on reconnection instead of being re-entered 97% sync success
Event-driven, priority-batched background sync The mobile app stays responsive and keeps its charge through a full clinic day 88% better mobile efficiency
Unified EHR with calendar and payment adapters Less manual reconciliation between records, appointments and billing 43% less admin workload
Structured schemas and shared cross-platform contract Clinical steps complete faster and consistently on any device 33% faster clinical workflows
STACK

What it's built on

The actual technologies, not feature names with icons attached.

Frontend

  • React.js
  • Redux Toolkit
  • Tailwind CSS
  • TypeScript

Mobile & backend

  • Flutter
  • Node.js
  • Express.js

Data & infra

  • AWS
  • Prisma
  • Prisma
  • Docker

Integrations

  • Google Calendar
  • Celero Payments
  • Statsig
FULL CASE STUDY

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  • Clinical data security and access-control decisions

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