10decodersHealthcare software development,
built by a team that already runs the workflow.
We build, ship and operate healthcare software for HealthTech vendors and mid-market provider groups — revenue cycle, interoperability, clinical document intelligence and agentic workflows. You get working software in production and a team that keeps running it, not a platform handed over for your people to figure out.
Trusted by leading enterprises and healthcare teams
Two buyers, one engineering practice.
Healthcare work reaches us from two directions: product companies that need engineering depth they cannot hire fast enough, and provider organisations losing money inside their own administrative workflow. The codebase discipline is the same. The conversation is not.
HealthTech vendors & healthcare SaaS
You already have a product and customers. What you need is a team that can hold a roadmap, ship to your release calendar and pass your customers' security review.
- Dedicated engineering pods inside your SDLC
- Platform modernization without a feature freeze
- Interoperability and integration surface build-out
- Quality engineering and release validation
Provider groups & ambulatory networks
Typically 3–50 sites. The problem is rarely the clinical system — it is the manual work stacked around it, and the revenue that leaks through it.
- Revenue cycle automation, front to back
- Document intelligence on charts, faxes and payer mail
- Eligibility, authorization and denial workflows
- Reporting your finance team actually trusts
Enterprise health IT & systems integrators
Programme-scale work where the constraint is delivery capacity, audit posture and the ability to work inside someone else's governance.
- Global Capability Center build and operate
- Legacy migration under regulated change control
- Zero-trust and access architecture
- Documented, auditable delivery under ISO 27001
Healthcare software development services.
Eight practice areas. Each one is a real delivery team with production references, not a capability slide.
Revenue Cycle Management
Our deepest healthcare practice. Digital workers that capture the encounter, check the claim before it leaves the building, and work the denial when one comes back. Delivered and operated by us, measured against your own baseline.
- Pre-submission claim validation against payer-specific rules
- Ambient encounter capture and structured documentation
- Coding assistance, charge capture and CDI support
- Eligibility and benefit verification (270/271)
- Denial triage, root-cause grouping and appeal assembly
Interoperability & healthcare data engineering
Moving clinical and administrative data between systems that were never designed to talk to each other — and keeping it moving after go-live.
- HL7 v2 to FHIR R4 mapping and transformation pipelines
- SMART on FHIR apps and API surfaces for partner integration
- EHR-agnostic integration layers — we work to your stack
- Master patient index reconciliation and identity matching
- Interface monitoring, replay and failure handling
Clinical document intelligence
DocuFindr, our document intelligence product, applied to the paper healthcare still runs on: referrals, faxed orders, payer correspondence, prior-auth packets and scanned charts.
- OCR and semantic extraction on low-quality scans and faxes
- Structured output mapped to your downstream schema
- Payer correspondence classification and routing
- Confidence scoring with human review thresholds
- Full extraction audit trail for every field
Agentic workflows & digital workers
CheiAI is our orchestration layer for multi-step healthcare work. Every competitor sells a canvas you configure. We deliver the worker running, and keep operating it.
- Agent design for defined administrative workflows
- Retrieval over policy, payer rules and internal knowledge
- Human-in-the-loop checkpoints where stakes require one
- Microsoft stack — Azure AI Foundry, Copilot Studio
- Ongoing evaluation against your own accuracy baseline
Healthcare product engineering & MVP builds
Full product builds for digital health companies — from first release through the architecture that survives your first large customer's security questionnaire.
- HIPAA-aligned architecture, PHI handling and audit logging
- Multi-tenant SaaS built for healthcare data volumes
- Patient engagement, scheduling and telehealth workflows
- Role-based access, consent and data segregation
Legacy modernization for health IT
Healthcare runs an unusual amount of old software, and most of it still works. Modernization here means moving it without losing behaviour your customers rely on.
- PowerBuilder and Oracle Forms migration
- .NET and Microsoft stack re-platforming
- Behavioural parity testing against the legacy system
- Database modernization with clinical data integrity checks
- Phased cutover under regulated change control
Quality engineering & compliance validation
Testing that produces evidence, not just a pass rate — because in healthcare the artefact matters as much as the result.
- Test automation across clinical and billing workflows
- Interface and message-level validation for HL7 and FHIR
- Regression suites for payer rule and code-set updates
- Traceable test evidence for audit and certification review
Dedicated pods & healthcare GCC
When the answer is capacity rather than a project: a standing team that learns your domain and stays. Structured as a pod, or as a Global Capability Center you eventually own.
- Pods embedded in your sprint cadence and tooling
- Healthcare-experienced engineers, not generalist bench
- GCC design, hiring, ramp and operating model
- Overlap hours across US, India and Singapore
- Transition-to-own path defined at the start
Revenue Cycle Management sits under this page
RCM is the largest cluster in our healthcare estate, so it gets its own hub and a page for every worker inside it. Start at the hub if you are scoping the whole cycle; go straight to a worker page if you already know which part is bleeding.
AI for Healthcare Revenue Cycle Management
Three digital workers across the cycle — encounter capture, coding assistance and pre-submission claim validation — delivered and operated for mid-market provider groups. Includes the leakage calculator and the delivery model in full.
Child pages under Revenue Cycle Management
DocuFindr checks the claim against payer-specific rules before submission, not after the denial.
Encounter capture that produces documentation strong enough to support the codes submitted.
Coding and charge-capture assistance at the point of care, inside the system clinicians already use.
Triage by recoverable value, group by root cause, and assemble the appeal packet automatically.
Intake, clinical packaging, submission and status chase — the workflow that eats the most staff hours.
270/271 verification before the visit, so coverage problems surface at scheduling rather than billing.
Coder throughput support and documentation improvement without adding headcount to the backlog.
Worklists ordered by what is actually recoverable, with the next action already drafted.
Registration accuracy, estimate generation and the intake data everything downstream depends on.
Sibling pages in the healthcare estate
HL7 to FHIR pipelines, integration surfaces and the data layer RCM depends on.
An interactive scorecard for comparing healthcare AI vendors on the criteria that predict failure.
The top-level industry page, with the client wall and the ecosystem view.
Every engagement starts small enough to cancel.
Healthcare AI has a pilot problem: most pilots are designed to be interesting rather than decisive. Ours are scoped to answer one question — does this work on your data, in your workflow — and priced so that answer costs you very little.
A working session
An engineer and a domain lead. We map the workflow, find where the value sits and say plainly whether we are the right team.
A build-ready spec
Scope, data contracts, integration points, compliance obligations and the baseline we will measure against.
A working slice
On your real data, in your environment. Not a demo dataset — something you can put in front of the people who will use it.
Production build
Hardened for PHI handling, access control and audit. Deploys to your cloud with source and IP client-owned.
We keep running it
Monitoring accuracy, revalidating against payer rule changes, and reporting against the baseline set in the blueprint.
The pilot fee is credited 100% against the full programme.
If you upgrade, you pay nothing twice. If you do not, you keep the blueprint and the working slice, and we part on good terms.
What is actually different here
Four things, and none of them is a claim about speed we cannot show you the arithmetic for.
We operate it, not just ship it
The category norm is a configuration canvas and a services quote to make it work. We hand over a running worker and stay accountable for how it performs.
Document intelligence we own
DocuFindr is our product, not a licensed OCR wrapper. When your faxes are unreadable and your payer letters are inconsistent, we can change the model rather than file a ticket.
Deployable inside your boundary
Zero-trust architecture and in-tenancy deployment where the data cannot leave. Certified to ISO 27001 and ISO 9001, with the evidence chain to match.
Engineering depth behind the AI
200+ engineers across product, data, cloud and quality. The AI layer is thin without the systems work underneath it, and that is the part most vendors are missing.
The things healthcare teams ask before anything else.
Ownership, compliance, integration and what happens if it does not work. Answered plainly.
Who owns the code and the models?
You do. Everything we build deploys into your cloud tenancy and the source, configuration and trained artefacts are client-owned. There is no runtime you have to keep renting from us to keep your software working. Where we bring our own product — DocuFindr, CheiAI — that is licensed transparently and separated from the code we write for you.
How do you handle PHI and HIPAA obligations?
PHI handling is designed in at the blueprint stage — access policy, minimum necessary scoping, encryption, audit logging and retention are part of the specification, not a hardening pass at the end. We work under BAA, and our delivery organisation is certified to ISO 27001 and ISO 9001. For engagements where data cannot leave your boundary at all, we deploy the models inside your tenancy.
Which EHR and billing systems do you integrate with?
We build EHR-agnostic. Rather than publish a logo list, we ask what you run and work to it — through FHIR R4 and SMART on FHIR where the system exposes them, HL7 v2 interfaces where it does not, X12 transaction sets for eligibility, claims and remittance, and direct database or file integration where that is the only honest option. Tell us your stack on the first call and we will tell you which of those we would use.
What does a first engagement look like, and what does it cost?
It starts with a diagnostic session, then a blueprint, then a proof sprint on your real data. The proof sprint is fixed-scope and fixed-fee, and that fee is credited in full against the programme if you continue. Exact sprint fee and capacity limits are confirmed on the call — we hold a limited number of sprint slots per quarter and will tell you honestly when the next one opens.
How is this different from buying an RCM AI product?
A product gives you a platform and assumes you have a team to configure, tune and operate it. Most mid-market provider groups do not, which is why so many of these deployments stall after the pilot. We deliver the outcome as a running service — we build the worker, put it into your workflow, and keep operating it against a measured baseline. If you do have a strong internal team, the product route may genuinely be cheaper, and we will say so.
Can you work as an extension of our engineering team instead?
Yes — that is a large part of what we do for HealthTech vendors. Dedicated pods run inside your sprint cadence, your tooling and your definition of done, with healthcare-experienced engineers rather than generalist bench. For larger programmes we design and operate a Global Capability Center with a defined path to you owning it outright.
