Healthcare Solutions
Clinical-grade platforms for EHR, telehealth, patient engagement and analytics — engineered for interoperability, security and the compliance bar healthcare demands.
Talk to Our Healthcare Team500+
Products Delivered
400+
Clients Served
13+
Years Building Software
5.0
Rating on Clutch
Four pillars of healthcare technology
EHR/EMR Systems
Custom electronic health record platforms with clinical workflows, CPOE, patient charts, and interoperability built in.
- HL7 FHIR R4 native
- Clinical decision support
- E-prescribing integration
- Audit trail + access logging
Telehealth & Remote Care
HIPAA-compliant video consultation, remote patient monitoring, and virtual care platforms.
- WebRTC video + chat
- RPM device integration
- Multi-provider scheduling
- Insurance verification
Patient Engagement Portals
Patient-facing apps for appointments, records access, messaging, and bill pay.
- PHR + health records access
- Appointment self-scheduling
- Secure messaging + notifications
- Online bill pay + statements
Clinical Data & Analytics
Healthcare analytics platforms for population health, outcomes tracking, and operational intelligence.
- Population health dashboards
- Quality measure (HEDIS/MIPS) tracking
- Predictive risk stratification
- Real-time bed/resource management
Clinical platforms, built for the way care actually happens
Most healthcare software is judged on a feature list and lived with on a workflow. A platform can tick every box in a procurement document and still be abandoned because it adds four clicks to a task a nurse performs ninety times a shift. The systems we build start from the workflow — who does this, at what moment, with what already on screen — and the feature list follows from that rather than the other way around.
That shapes concrete decisions. Clinical screens are designed for speed and glanceability over visual polish, because they are read under time pressure on shared workstations. Data entry is minimised wherever an existing system already holds the answer. Anything that could interrupt a clinician mid-task — a modal, a forced refresh, a session timeout during documentation — gets scrutinised, because interruptions in clinical settings are a documented source of error rather than a UX inconvenience.
Interoperability is treated as a product requirement, not an integration afterthought. A patient portal that cannot show a result until someone re-keys it is not a portal. We build on HL7 FHIR R4 where the source system supports it, HL7 v2 messaging where it does not, and we design for the reality that data arrives late, incomplete or duplicated — because in a live hospital environment it does.
We have delivered 500+ products for 400+ clients across six countries since 2013, and hold a 5.0 rating on Clutch. In healthcare that experience shows up mostly as knowing what not to build: which integrations will take three months of vendor process, which features look valuable in a demo and go unused in production, and where a smaller, sharper system beats a comprehensive one nobody adopts.
From clinical requirement to running platform
Workflow Shadowing
We watch the task being performed today — on paper, in the EHR, in a spreadsheet — before specifying anything. Requirements gathered in a meeting room miss the workarounds that matter.
Data & Integration Design
Which systems hold the source of truth, what they can expose, and how stale the data is allowed to be. This determines what the product can honestly promise.
Iterative Build & Clinical Review
Working software in front of actual clinicians every sprint. Feedback from someone doing the job beats a signed-off specification every time.
Rollout & Adoption
Phased launch with a pilot group, training built around the workflow rather than the feature list, and monitoring of what people actually use after week four.
Frequently Asked Questions
What healthcare teams ask before committing to a platform build.
Do you build custom EHR systems, or integrate with existing ones?
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Both, though integration is the more common and usually the wiser choice. Building a full EHR from scratch is a multi-year commitment that most organisations should avoid unless they are productising it for a market. The frequent and far better-value engagement is building the layer your existing EHR does not provide — a specialty workflow, a patient-facing application, an analytics platform — and integrating it properly with what you already run.
What does a telehealth platform need beyond video?
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Video is the easy part and is largely a solved problem. The work is everything around it: eligibility and insurance verification, multi-provider scheduling across time zones and licensure boundaries, waiting-room and queue management, clinical documentation captured during the call rather than after, e-prescribing, and a fallback path for when a patient's connection fails. A platform that only does video well tends to create administrative work rather than remove it.
Can patients access their records through what you build?
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Yes, and current CMS interoperability rules increasingly require it. Patient access APIs based on FHIR R4 let a patient view records, results and visit history through your portal or a third-party app of their choosing. The design questions that matter are around release timing and context — results that reach a patient before a clinician has interpreted them cause real distress, so most organisations apply rules by result type rather than releasing everything immediately.
How do you approach clinical analytics and reporting?
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We start from the decision the report is meant to support, because dashboards built without that produce screens nobody opens twice. Common ground includes population health views, quality-measure tracking such as HEDIS and MIPS, operational metrics like bed and resource utilisation, and risk stratification. Accuracy of the underlying data model matters far more than visual sophistication here — a beautiful chart drawn from a mis-joined table is worse than no chart.
Do you build AI features into clinical products?
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Yes, with clear boundaries. Clinical NLP for extracting structure from notes, computer vision for imaging workflows, and predictive models for risk scoring are all realistic and in production across the industry. What we insist on is that outputs are presented as decision support with visible confidence and an audit trail, never as an automated clinical decision, and that any model touching diagnosis is evaluated against its regulatory position — FDA Software as a Medical Device classification is a question to answer early, not at launch.
How long does a platform like this take to build?
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A focused product with one or two integrations typically reaches a usable first release in three to five months. A multi-workflow platform integrating with an EHR, a billing system and imaging is realistically nine to eighteen months to full rollout. The largest variable is rarely engineering — it is vendor integration timelines and internal approval cycles, which is why we map those in discovery and plan the build around them.
Will it work on the devices our staff already use?
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That is a requirement we establish first, because it constrains real decisions. Shared workstations with fast user switching, tablets on carts, personal phones under a BYOD policy and older browsers locked by IT policy all impose different limits. We would rather design for the ten-year-old workstation that is genuinely on the ward than build for a device your staff do not have.
What about data ownership and vendor lock-in?
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You own the code and the data, and both should be exportable in a standard format without our involvement. Cloud accounts and repositories belong in your organisation's name from the beginning. We regard the ability to leave as a design requirement rather than a commercial risk — a client who stays because moving is painful is not a reference, and healthcare organisations have been burned enough by lock-in to be right to ask.
Explore related work
Healthcare Hub
The full picture of our healthcare engineering practice.
Healthcare Services
How our engineering teams run — process, staffing and delivery.
Healthcare Consulting
Strategy, interoperability planning and compliance roadmaps.
Hire AI/ML Engineers
Clinical NLP, imaging and predictive models.
Hire Mobile Engineers
Patient-facing apps and clinical tablet workflows.
Case Studies
Delivered work, with the engineering decisions explained.
Ready to build a healthcare platform that scales?
Book a 30-minute architecture review — we'll map your clinical requirements to the right stack, compliance path and timeline.