Healthcare app development usually costs $20,000 to $40,000 for an MVP with core features, $40,000 to $90,000 for a full-featured patient or provider app, and $90,000 or more for enterprise platforms with EHR integrations, remote monitoring or AI. The final cost depends on features, platforms, integrations and compliance requirements, and as a custom healthcare app development company we share a detailed estimate after a short discovery call.
A focused healthcare MVP typically takes 3 to 4 months, a full-featured app 5 to 7 months, and an enterprise platform with multiple EHR or device integrations 8 months or more. Discovery, compliance reviews and integration testing are the stages that most often affect the timeline.
A HIPAA-ready app protects patient health information with encryption in transit and at rest, role-based access control, multi-factor authentication, audit logs, automatic session timeouts and secure hosting on HIPAA-eligible cloud services. We build these safeguards in from the first sprint and document them so your compliance team can review them before launch.
Yes. We integrate healthcare apps with EHR and EMR systems such as Epic, Oracle Health (Cerner) and athenahealth using HL7 v2, FHIR R4 and SMART on FHIR APIs, so patient data, appointments and clinical notes stay in sync between your app and your existing records.
Cross-platform frameworks like Flutter and React Native suit most patient-facing apps because one codebase serves both iOS and Android, which lowers cost and speeds up launch. Native Swift and Kotlin development is the better choice when an app depends heavily on Bluetooth medical devices, background health tracking or advanced platform features.
As a healthcare mobile app development company, we build telemedicine apps, EHR and EMR software, patient portals, remote patient monitoring apps, pharmacy and e-prescription apps, mental health and wellness apps, doctor appointment apps and healthcare analytics dashboards for hospitals, clinics, startups and pharmacies.
Yes. Common AI features include symptom checkers, AI-assisted clinical documentation, chatbots for patient questions, no-show prediction and risk scoring. We build them with human review where clinical decisions are involved and keep patient data protected throughout.
Start with a Minimum Viable Product (MVP) focused on one core workflow, such as virtual visits or appointment booking. Launching a smaller, compliant version first lets you collect real patient and clinician feedback, prove demand to investors and add features based on evidence instead of assumptions.
