Every healthcare app quote has two numbers. The one in the proposal, and the one you discover in month seven when someone finally reads the HL7 spec. A healthcare build is the only project where "it compiles" and "it complies" are two separate sprints, and only one of them has a lawyer attached.
So here is the direct answer first, then the mechanics behind it.
The short answer, in ranges
Healthcare app development cost lands between roughly $45k and $350k for a first production release, depending on compliance scope, integration count, and whether a regulator gets a vote. Below is how we bracket it when we scope work.
| Build type | Typical first-release cost | Timeline | What pushes it to the top of the range |
|---|---|---|---|
| Patient-facing app, no clinical data exchange | from $45k | 8 to 12 weeks | Native mobile on both platforms, payments, content tooling |
| HIPAA-ready app with one EHR or lab integration | $70k to $140k | 12 to 20 weeks | HL7 v2 feeds, custom mapping, sandbox access delays |
| Multi-role clinical platform, scheduling, billing, reporting | $150k to $350k | 5 to 9 months | Role-based access, audit trails, eligibility and claims |
| Software with a regulated clinical function | from $250k, plus quality-system cost | 9 months and up | Classification work, design controls, verification evidence |
Basis: HighCraft scoping ranges for fixed-scope healthcare engagements. These are planning brackets, not a quote. Your number comes out of discovery.
Two things to notice. The floor is not that scary. The ceiling is almost never caused by features. It is caused by the number of systems you have to talk to and the number of people who have to sign off.
Five things that move the number more than your feature list
Clients usually arrive with a feature list and ask us to price it. Feature lists are the cheapest part of the conversation. Here is what actually moves the budget.
Compliance scope, decided on day one
HIPAA is not a checkbox you add in QA. The HIPAA Security Rule covers administrative, physical, and technical safeguards, which in engineering terms means access control, audit logging, encryption at rest and in transit, and a Business Associate Agreement with every subprocessor that touches PHI. Decide that at architecture time and it costs maybe 10 to 15 percent of the build. Decide it after launch and you are re-plumbing the data layer while users are in it.
The practical rule we use: if any single field in the system can identify a human and say something about their health, the whole service gets treated as in-scope. Splitting the app into "the compliant part" and "the easy part" sounds like a saving. It is usually two codebases and one very confused auth story. We cover the engineering side of this on our HIPAA-compliant software development page.
Integrations, priced by message type and not by logo
This is the line item that eats budgets, and almost everyone sizes it wrong. They count systems. You should count message types and auth models.
One hospital EHR with six HL7 v2 message types, a nightly flat-file export, and a VPN tunnel costs more than three systems speaking FHIR R4 with SMART on FHIR authorization. The modern stack is documented, versioned, and testable. The older stack is pipe-delimited and held together by pipes and faith.
Our budget rule, stated plainly: if the integration spec is not in hand at kickoff, multiply the integration estimate by 1.5 and call it honest. Sandbox access from a large health system regularly takes longer than building the adapter. That wait is a schedule cost, not an engineering cost, and it belongs in the plan. More detail on how we approach that work sits under healthcare API integration.
Workflow depth, which is where the real complexity hides
A patient booking an appointment is one workflow. A patient booking an appointment that checks insurance eligibility, respects a provider's blocked hours, handles a cancellation inside 24 hours, notifies a care coordinator, and writes back to the practice management system is nine workflows wearing one button.
Count states, not screens. Every state transition that a human can trigger, a timer can trigger, or an external system can trigger is a thing to build and test.
Regulatory classification, if a clinical claim is involved
If your software interprets data to inform a diagnosis or treatment decision, you may be in Software as a Medical Device territory. The FDA publishes its framework for Software as a Medical Device, and the work it implies (design controls, traceability, verification evidence) is real engineering effort on top of the product. It is also a different company shape, with a quality system behind it.
The decision rule: if your marketing copy would use the word "detects," talk to a regulatory consultant before you talk to engineers. Cheaper order of operations.
Who owns the data model
If you own the canonical patient record, you own identity resolution, merge rules, history, and audit. If the EHR owns it and you read from it, you own caching and staleness. The first is more expensive to build. The second is more expensive to argue about at 7am when two systems disagree about a medication list.
Run this checklist before you ask anyone for a quote
Anyone can give you a number. A number you can hold requires these answers.
- Named integration targets, with vendor, version, and whether you have sandbox credentials today
- The exact PHI fields you intend to store, versus fields you only read
- User roles and what each role must never see
- Whether any feature makes a clinical claim
- Hosting constraint, if the client or a payer requires a specific cloud or region
- Audit and retention requirements, including how long logs must survive
- Who signs off on release, and how often they are available
- One workflow you would ship in month two if the rest slipped
Basis: the pre-estimate questionnaire our team runs before quoting a healthcare build. Eight answers typically narrow a $150k spread to about $30k.
That last checkbox is the one people skip, and it is the one that saves the most money. If you cannot name the single workflow that matters most, you are not ready to fix a scope, and a fixed scope is the only way a fixed price means anything.
Where the money actually goes
| Work stream | Share of build budget | Note |
|---|---|---|
| Discovery, workflow mapping, data model | 10 to 15% | Cheapest place to change your mind |
| Product and clinical UX | 10 to 15% | Higher if clinicians are primary users |
| Application engineering | 30 to 40% | The part everyone pictures when they say "development" |
| Integrations and data mapping | 15 to 25% | Highest variance of any line |
| Security, access control, audit trail | 10 to 15% | Built in, not bolted on |
| QA, release, documentation | 10 to 15% | Includes evidence you will need later |
Basis: HighCraft's planning split across fixed-scope healthcare MVPs. Ranges overlap because integration weight shifts the whole table.
Engineering is under half of it. That surprises people. (It surprised me the first time I added up a year of timesheets, and I had written most of the code.)
The MVP rule: cut scope, never cut compliance
Everyone wants a smaller first release. Good instinct. Here is how to do it without creating a rebuild.
Cut user roles. Cut reporting. Cut the second platform, ship web first and wrap it later if the usage justifies native. Cut the admin console and run admin tasks through a scripted process that a named person owns.
Do not cut audit logging, encryption, access control, or tenant isolation. Those are structural. Adding them later means touching every query, every endpoint, and every stored record, which is the most expensive kind of refactor because it has no visible output. Your users will not notice. Your invoice will.
An MVP that handles one workflow correctly, for one role, with full compliance plumbing, is a product. An MVP with six half-features and a plan to "add HIPAA in phase two" is a prototype with a production URL.
The costs that show up after launch
Build cost is the headline. Run rate is the thing that decides whether the product survives year two.
| Ongoing item | Annual planning figure | What drives it |
|---|---|---|
| Hosting and managed services | 3 to 8% of build cost | Data volume, redundancy, log retention |
| Maintenance, dependency and OS updates | 10 to 20% of build cost | Platform count, library age |
| Integration drift | $5k to $25k per year | Partner API versions move without asking you |
| Security review and penetration testing | from $8k per cycle | Enterprise or payer customers often require it annually |
| Support and on-call | varies with SLA | Response-time promise, not user count |
Basis: HighCraft planning figures for post-launch healthcare systems. Integration drift is the line most often left out of first-year budgets.
Plan 15 to 25 percent of build cost per year, all in. If a partner quotes you a build and goes quiet about year two, that silence is part of the price.
Build, buy, or integrate
| Option | Upfront | Time to first real users | Where the cost lands later | Pick it when |
|---|---|---|---|---|
| License a platform module | low | weeks | per-seat fees, limits on workflow changes | your process matches the vendor's assumptions |
| Integrate what you already own | medium | 6 to 12 weeks | integration maintenance, vendor roadmap risk | the record of truth is staying put |
| Custom build | highest | 3 to 9 months | your own maintenance and hosting | the differentiated workflow is the thing you charge for |
Basis: how our team frames the build-or-buy decision in technical advisory work.
The decision rule we actually use: count your genuinely unique workflows. If fewer than three are unique, do not build a platform. Build the one workflow you charge money for, buy or integrate everything around it, and keep the boundary clean so you can replace either side later.
How we scope so the number holds
Discovery first, fixed scope second, price third. We map the workflows, confirm the integration surface, and write down the data model before anyone quotes a figure. Then the scope is frozen and the price is flat.
Changes after that are priced as changes, openly, with the schedule impact stated in the same message. No silent burn. Releases go through code review and approval, and the audit trail exists because your enterprise customer will eventually ask for it.
If you want a bracketed number against your actual integration list, estimate your project and we will come back with the range and the assumptions behind it.
Related work
- Custom healthcare software development, for platforms where off-the-shelf tools ran out of room
- EHR software development, including record architecture, role design, and audit trails
We will give you a number you can defend in a board meeting. We will also, at some point, make one joke about your CSV export. Consider that bonus content.
