Built a healthcare app with Pythagora?
We'll make it production-ready.
Healthcare apps handle protected health information (PHI) — patient records, diagnoses, medications, and medical histories. This data is among the most heavily regulated in any industry, and a breach can result in six-figure fines and criminal liability. AI tools can build patient portals and appointment systems quickly, but they have zero awareness of HIPAA requirements, data handling rules, or healthcare-specific security standards.
Healthcare App challenges in Pythagora apps
Building a healthcare app with Pythagora is a great start — but these challenges need attention before launch.
HIPAA-compliant data handling
Protected health information must be encrypted at rest, encrypted in transit, access-logged, and stored only in HIPAA-compliant infrastructure. AI tools store data in standard databases with no encryption, no access logging, and on hosting providers that may not offer HIPAA-compliant tiers.
Access controls and minimum necessary rule
Healthcare regulations require that users only access the minimum data necessary for their role. A nurse sees different data than a billing clerk. AI-generated auth gives everyone the same access level, which violates the minimum necessary principle.
Audit logging for compliance
Every access to patient data must be logged — who viewed it, when, from where, and what they accessed. These logs must be tamper-proof and retained for six years. AI tools don't generate any audit logging, let alone compliant audit trails.
Telemedicine reliability
Video consultations, real-time messaging, and appointment scheduling must work reliably — a dropped video call during a medical consultation is not just frustrating, it's a patient safety issue. AI tools generate basic WebRTC setup without fallback mechanisms or connection quality monitoring.
Patient data portability
Patients have the right to access and export their health records. Your app needs secure data export, standard health data formats (FHIR, HL7), and the ability for patients to transfer their data. AI tools don't implement any data portability features.
Consent management
Patients must explicitly consent to data collection, sharing, and treatment. This consent must be recorded, revocable, and granular (consent to share with one provider doesn't mean consent to share with all). AI tools don't build consent management systems.
What we check in your Pythagora healthcare app
Common Pythagora issues we fix
Beyond healthcare app-specific issues, these are Pythagora patterns we commonly fix.
Weak input validation
Pythagora validates inputs at the UI level but often skips server-side validation, allowing malicious requests to bypass frontend checks.
Insecure session management
Sessions and tokens are sometimes stored insecurely or don't expire properly, allowing unauthorized access to persist.
Step-by-step accumulation of bugs
Each development step is reviewed individually, but the interaction between steps can introduce bugs that aren't visible in isolation.
Redundant code from iterations
Pythagora's iterative approach sometimes leaves behind old code paths, unused functions, and deprecated approaches from earlier steps.
Start with a self-serve audit
Get a professional review of your Pythagora healthcare app at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
Frequently asked questions
Can I build a healthcare app with Pythagora?
Pythagora is a great starting point for a healthcare app. It handles the initial scaffolding well, but healthcare apps have specific requirements — hipaa-compliant data handling and access controls and minimum necessary rule — that need professional attention before launch.
What issues does Pythagora leave in healthcare apps?
Common issues include: weak input validation, insecure session management, step-by-step accumulation of bugs. For a healthcare app specifically, these issues are compounded by the need for hipaa-compliant data handling.
How do I make my Pythagora healthcare app production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Pythagora-built healthcare apps, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
How much does it cost to fix a Pythagora-built healthcare app?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger healthcare app projects, we provide a custom fixed quote after the audit — no hourly billing.
Get your Pythagora healthcare app production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.