Healthcare Software Development Cost Calculator

Our work is billed at a blended rate of $50 per hour, covering engineers, designers, QA and project management. Multiplying estimated hours by the rate gives the engineering budget, so 1,000 hours costs $50,000 and 2,000 hours costs $100,000 at that rate.

Break the project into components such as design, core features, integrations, compliance, testing and deployment, then estimate hours for each. Component estimates are easier to check than a single overall figure, and they show exactly where budget goes and where scope could change.

Healthcare software needs security controls, audit logging, encryption, access management and documentation that general apps may skip. These typically add 10 to 20 percent to development effort, and they are required for customer security reviews, HIPAA compliance and enterprise sales.

Add 20 to 30 percent of development hours for testing, including integration and security testing, plus 15 to 25 percent contingency for unknowns. Skipping these additions produces estimates that look attractive at first but almost always grow once real development begins.

Cloud hosting, SMS and video services, AI model usage, EHR program fees, security tools and certification audits are billed by other providers. Keep them in a separate budget line, because they continue after launch and scale with usage rather than engineering effort.

Early calculations are ranges. A two to four week discovery sprint narrows them by confirming features, integrations, compliance needs and architecture. Our healthcare software discovery workshop turns an early estimate into a costed roadmap you can confidently budget against. Scope stays documented.

A focused MVP with core workflows, one key integration and a compliant foundation typically takes 800 to 2,080 hours. Our guide to MVP development cost explains how to scope a first release that proves value without overbuilding features too early.

A patient or clinician mobile app with a secure backend typically takes 800 to 2,400 hours, depending on platforms, features and integrations. Our overview of mobile app development cost covers how iOS, Android and cross-platform choices affect the total budget.

Telehealth platforms range from focused video visit MVPs to multi-specialty platforms with EHR integration, e-prescribing and payments, typically 800 to 4,160 hours. Our guide to telemedicine app development cost breaks down the main feature costs. Specialty workflows and state rules also move the final figure.

A multi-tenant SaaS platform serving many organizations, with configurable workflows, integrations and enterprise security, typically takes 2,080 to 4,160 hours. Our guide to SaaS development cost explains the architecture decisions that drive these larger budgets. Phased delivery can spread this cost over time.

Custom EHR and clinical systems with documentation, orders, scheduling, billing and certification work typically take 2,000 to 6,000 hours. Our guide to custom EHR development cost explains when a custom build is justified instead of buying. Certification adds further effort.

AI products range from single-workflow tools to platforms with several models, evaluation, guardrails and integrations, typically 800 to 4,160 hours. Our AI development cost guide covers model choices, hosting and ongoing usage costs in detail. Evaluation work is always included.

Design 150 hours, core features 450, backend and security 200 and testing 150 total 950 hours. Adding 10 percent contingency gives about 1,045 hours. At $50 per hour, the engineering budget is roughly $52,000, excluding hosting and app store fees.

Design 180 hours, patient and provider apps 600, video and scheduling 250, one FHIR integration 250, security 150 and testing 250 total 1,680 hours. With 10 percent contingency, that becomes about 1,850 hours, or roughly $92,000 before video and hosting fees.

Design 300 hours, multi-tenant core 1,200, billing and scheduling 600, two integrations 400, security and audit 250 and testing 500 total 3,250 hours. With 10 percent contingency, that becomes about 3,575 hours, or roughly $179,000 at our blended rate. Hosting is separate.

Evaluation design 200 hours, AI workflow 600, EHR integration 350, interface 300, guardrails and logging 200 and testing 250 total 1,900 hours. With 10 percent contingency, that becomes about 2,090 hours, or roughly $105,000, plus ongoing model usage costs. Validation is included.

Design 250 hours, patient app 600, device integration 400, clinician dashboard 450, alerts and billing support 300, security 200 and testing 400 total 2,600 hours. With 10 percent contingency, that becomes about 2,860 hours, or roughly $143,000. Device fees are separate.

Design 400 hours, core platform 1,600, three integrations 700, AI features 600, security and certification readiness 300 and testing 700 total 4,300 hours. With 10 percent contingency, that becomes about 4,730 hours, or roughly $237,000 before third-party and audit fees.

Cloud hosting under a Business Associate Agreement, databases, backups, monitoring and logging are recurring costs that grow with usage. Small MVPs may cost little to host, while platforms serving many organizations need larger, redundant infrastructure with higher monthly costs as usage grows.

Plan roughly 15 to 20 percent of the original build cost per year for maintenance, bug fixes, security patches and minor updates. Support retainers at our rate typically run $1,000 to $4,000 per month for 20 to 80 hours of work.

Integrations need monitoring and updates when connected systems change, such as EHR upgrades or payer interface changes. Each active integration adds ongoing effort, so products with many integrations should budget more for maintenance than products with few external connections. Budget for this yearly.

Healthcare customers send security questionnaires, request penetration test results and may require SOC 2 or HITRUST. Preparing evidence, fixing findings and paying for audits are recurring costs that grow as you sell to larger, more demanding healthcare organizations. Reusable evidence saves time.

Replacing an existing system often requires migrating patient records, documents and financial data. Migration typically takes 200 to 1,200 hours depending on volume and data quality, and it is frequently left out of early estimates until late in the project.

Video, SMS, email, e-prescribing, payment processing, identity verification and AI model usage are billed by providers, usually per use or per user. These costs scale with adoption, so estimate them using realistic usage projections rather than launch-day volumes. Review them each quarter.

A two to four week discovery sprint, roughly 80 to 240 hours, defines scope, architecture, compliance needs and a costed roadmap. It is the best first step for most projects, because it turns early calculations into reliable estimates backed by real engineering analysis.

Fixed-scope projects deliver an agreed set of features for an agreed budget, based on discovery output. They suit MVPs and well-defined builds, giving predictable cost. Changes follow a clear change process, so new requirements are estimated before they affect budget or timeline.

A dedicated engineer works about 160 hours per month, costing $8,000 at our rate. Our dedicated healthcare development team model suits ongoing roadmaps, typically three to five people costing $24,000 to $40,000 per month. Team size can change as the roadmap evolves.

Support retainers cover 20 to 80 hours per month for monitoring, security patching, bug fixes and small enhancements after launch. Retainer size depends on user volume, integrations and response times, and can be adjusted as the product grows or stabilizes.

When you have an internal team but need specific skills, individual engineers can join your team for defined periods at the same hourly rate. This suits organizations needing FHIR, HL7, AI or mobile expertise without long-term hiring commitments or recruitment delays.

Large projects can be split into phases, each with its own scope and budget, so spending follows proven results. Phased delivery reduces financial risk, spreads cost over time and lets real user feedback shape later phases before significant budget is committed.

Build only the features needed to prove value with real users, then expand based on evidence. A focused MVP reduces initial cost, shortens time to market and prevents spending on features that users ultimately do not need or use. Evidence guides growth.

Cross-platform frameworks let one codebase serve iOS and Android, reducing development and maintenance effort. They suit most healthcare apps, although some device-heavy or performance-critical apps still benefit from native development for specific platform capabilities. We recommend based on each app’s needs.

FHIR APIs and integration engines reduce custom interface work and make each additional integration cheaper. Choosing standards-based approaches early avoids expensive point-to-point connections that are costly to build and even more costly to maintain over time. Partners connect faster too.

Designing HIPAA safeguards, logging and access control from the start costs far less than retrofitting them. Early compliance decisions also shorten customer security reviews, which helps healthcare products close deals sooner and recover development investment faster. Rework is avoided entirely.

Authentication, audit logging, notification services and integration patterns can be reused rather than rebuilt. Working with a team that has built similar healthcare products means proven components reduce effort, risk and testing time compared with building everything from scratch. Quality improves as well.

Split large features, such as AI capabilities or multi-EHR support, into phases. Early phases deliver value and feedback, while later phases benefit from lessons learned. Phasing also spreads cost, making budgets easier to approve and manage over time. Risk stays controlled.