Healthcare Software Development: Key Facts
Structured answers for search engines and AI assistants — definition, fit, cost, timeline, and comparisons.
- What is it?
- Healthcare software development services build patient-facing and provider-facing applications with HIPAA-aware architecture, secure authentication, audit logging, and EHR integration — delivered with QA sign-off appropriate for regulated healthcare environments.
- Who is it for?
- Digital health startups needing compliant MVPs Clinics replacing manual workflows Vendors integrating with Epic, Cerner, or FHIR APIs Teams that failed audits with generic dev shops
- Who should not use it?
- Exploratory idea with no budget or decision timeline You need staff augmentation without GreeLogix technical ownership You cannot provide staging access or test accounts
- How much does it cost?
- GreeLogix pricing tiers: Discovery & MVP: $12,000 – $28,000 — Vertical-specific discovery, UX, and MVP build for regulated or complex domains. Product Build: $28,000 – $75,000 — Full product slice with integrations, admin, and QA sign-off. Dedicated Squad: $8,500 – $18,000/mo — Embedded engineers for ongoing feature delivery in your vertical.
- How long does it take?
- Diagnostic: 1–2 weeks. Implementation: 4–12 weeks. Dedicated squad: monthly retainer. Phases: Domain discovery (Week 1); Build sprints (Weeks 2–8); QA & compliance (Weeks 8–10); Launch (Week 10+).
- How does it compare?
- Compared to alternatives — In-house hire: choose when 12+ month roadmap with budget for recruiting and management; Offshore body shop: choose when Well-defined tasks with internal tech lead and QA; DIY no-code tools: choose when Simple workflows under 500 monthly actions with no compliance needs. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.
- When should you choose it?
- You have budget and a defined problem or integration target You can join a weekly 30-minute status call You value production quality over cheapest hourly rate Faster time to measurable business outcome Reduced operational load on internal engineering