Building a healthcare app with Go? Let us review it.
Expert code review for healthcare apps built with Go. We fix Go-specific security gaps, optimize performance, and handle deployment. From $19.
Common Go issues we find
Real problems from Go codebases we've reviewed.
Ignored error returns
The most common AI-generated Go anti-pattern: using _ to discard error returns from functions. Errors are silently ignored, and the code continues with zero or nil values, causing subtle data corruption.
Goroutine leaks
Goroutines spawned without context cancellation or timeout. They accumulate over time, consuming memory and causing the application to slow down and eventually crash.
Insecure default HTTP server
Using http.ListenAndServe with no timeouts configured. The default Go HTTP server has no read, write, or idle timeouts — making it vulnerable to slowloris and resource exhaustion attacks.
SQL injection via string formatting
Building SQL queries with fmt.Sprintf instead of using parameterized queries with database/sql placeholders, enabling injection attacks.
Healthcare App challenges to solve
Key healthcare app concerns that AI-generated code often misses.
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.
What we check
Key areas we review for Go healthcare app projects.
Data encryption — PHI encrypted at rest and in transit
Access controls — role-based access with minimum necessary enforcement
Audit logging — tamper-proof logs of all PHI access
Infrastructure — HIPAA-eligible hosting and database configuration
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Start with a self-serve audit
Get a professional review of your Go healthcare app project 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.
How it works
Tell us about your app
Share your project details and what you need help with.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you review a healthcare app built with Go?
Yes. We regularly audit Go healthcare app projects and understand the specific patterns and pitfalls of this combination. Our review covers security, performance, and deployment readiness.
What issues do you find in Go healthcare apps?
Common issues include ignored error returns and goroutine leaks on the Go side, combined with healthcare app-specific concerns like hipaa-compliant data handling and access controls and minimum necessary rule. We check for all of these and more.
How do I make my Go healthcare app production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Go healthcare app projects, the typical path is: fix security gaps, address healthcare app-specific requirements, optimize Go performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a Go healthcare app?
Our code audit delivers a full report within 24 hours. For Go healthcare app projects, we check security, architecture, performance, and deployment readiness across all Go-specific patterns. Fixes are scoped separately with a fixed quote.
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