Provingmark

Healthcare software development that expects to be audited.

Healthcare software development, as we practice it, means the systems a clinic or health-tech product actually runs on: patient intake, records workflows, imaging pipelines, and the integrations between systems that were never designed to talk to each other.

The difference from every other vertical is not the code. It is that one day someone — an auditor, a payer, a regulator, your own counsel — will ask the system to prove what it did, who touched which record, and why.

Software that works but cannot answer those questions is a liability with a user interface.

So the controls go in first, not last: access scoped to role, every read and write of patient data logged with who and when.

Protected health information stays out of application logs and error traces, and a human gate sits on anything that touches a chart, a bill, or a message to a patient.

Not because a framework demands it — because retrofitting an audit trail onto a live system is the most expensive way to build one.

We build software designed to survive your compliance review, with the access-control matrix, audit-log design and data-flow documentation your reviewer will ask for. Whether your operation is compliant is your counsel's determination.

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CLINICS AND HEALTH-TECH PRODUCTSPATIENT INTAKEINTEGRATIONSRECORDS WORKFLOWSIMAGING PIPELINESPATIENT MESSAGINGone record underneathMANY SYSTEMS, ONE ACCOUNTABLE RECORDINTAKERECORDSIMAGINGLABSPARTNER SYSTEMSNeverdesigned totalk to eachother.INTEGRATION LAYERExpects data off-spec,matches before it merges.THE WRITENothing touches a chartwithout a name on it.PATIENT RECORDEVIDENCE TRAILEvery read and write logged with whoand when, so the system can answera reviewer later.

What a healthcare build actually covers.

Intake and records workflows

The paper form that gets retyped, the portal nobody uses, the eligibility check that fails silently, the same patient existing under different spellings in different systems.

We build the workflow around deterministic matching rules — and a merge a person approves, because a silent auto-merge of two patient records is how the wrong chart gets treated.

PHI-handling discipline

Least-privilege access by role. Every read and write of patient data logged with who, what and when. Encryption in transit and at rest. Protected health information kept out of application logs, error traces, analytics events and model prompts.

Development and testing run on synthetic or de-identified data — production PHI is not a test fixture.

Human gates on anything clinical-adjacent

A record merged, a result released, a bill generated, a message sent to a patient — each waits for a person's approval before it executes.

Every gated decision is logged with its inputs, so months later it can be explained to a reviewer instead of reconstructed from memory.

Integrations that survive real data

FHIR interfaces, lab feeds, imaging systems, and the EHR export that does not match its own documentation. Real healthcare data arrives malformed: the field that is free text upstream, the feed that goes quiet without an error, the study that arrives before its order.

We build for the message that breaks the spec, because it will be sent.

An evidence pack, not just a handover

A written runbook, a tested rollback path, and the documents your compliance review will request: the access-control matrix, the audit-log design, where data lives and who can reach it.

Yours to run and yours to show — no dependency on us to keep it alive or to answer for it.

What buyers ask before they book.

Do you provide custom healthcare software development services, or a product we configure?

Custom, built against your workflow and owned by you outright. Custom healthcare software development services cost more up front than configuring a platform.

They earn it where the workflow is genuinely yours and nothing you already run — an EHR module, a practice-management feature nobody switched on — does the job.

How should we evaluate healthcare software development companies?

Ask questions a sales deck cannot answer. Where does patient data live during development, and is it real or synthetic? Who on their side can read production data, and what records that access? What happens when the lab feed goes down at night?

Who is notified, and what does the system do with results that arrive late? When you compare healthcare software development companies, the audit-log design tells you more than the demo does. Ask to see one first.

How is patient data handled during the build and in production?

During the build: development and testing run on synthetic or de-identified data, so PHI never sits in a developer environment. In production: access is least-privilege and scoped by role, and every read and write is logged with the person and the timestamp.

Data is encrypted in transit and at rest. PHI is kept out of the places it habitually leaks: application logs, error traces, analytics events, support tickets, model prompts.

We also keep less of it: fields that are never used are fields that never get breached, and deletion is a designed path, not a manual favour.

Are you HIPAA certified?

No. And in the official sense, neither is anyone else: HHS certifies no vendor, so a 'HIPAA certified' badge is a private company's stamp, not a regulator's. That is worth knowing when you see one on another firm's site.

Compliance is assessed across your whole operation, policies, training and agreements included, and our part of it is the technical controls: access scoping, audit logging, encryption, minimum-necessary data handling, each documented so your counsel or auditor can verify it.

Can you integrate with our existing EHR or lab system?

Yes, within what your vendor exposes. Some systems offer a FHIR API, some a nightly export, some a portal and nothing else, and the difference decides what is buildable.

We map the integration path and its limits before the build, so nobody discovers mid-project that the EHR only exports PDFs and calls it interoperability.

Do you use AI on patient data?

Only behind gates, and never as the decision-maker. A model can draft a summary, flag a mismatch, or triage a queue. A human releases anything that reaches a chart or a patient, and the model's output is logged next to the human's decision.

PHI does not go to a third-party model API without your written sign-off and the data agreements your counsel requires. Where a rule can be deterministic, it stays deterministic; a model is for judgment calls, not arithmetic and not record-keeping.

How much does it cost?

A fixed fee against written scope, agreed before work starts and billed at milestones as the work lands.

Who owns the code and the IP?

You do, outright. IP assignment is signed before repository access, by everyone who touches the code, and it covers AI-assisted output. Handover includes the runbook and the rollback path. Nothing depends on a licence we control.

What are the exit terms?

Retainers end on 30 days written notice from either side, with no minimum term. Milestone billing means you never pay ahead of delivered work.

Bring the workflow you would least like to explain to an auditor.

Anupam Shah, founder of Provingmark

Anupam Shah

Founder, Provingmark

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