Building a healthcare app with Java? Let us review it.
Expert code review for healthcare apps built with Java. We fix Java-specific security gaps, optimize performance, and handle deployment. From $19.
Common Java issues we find
Real problems from Java codebases we've reviewed.
SQL injection via string concatenation
Building SQL queries with string concatenation instead of PreparedStatement or parameterized JPA queries, allowing attackers to manipulate database operations.
Missing input validation
Controller endpoints accept request bodies without Bean Validation annotations (@Valid, @NotNull, @Size), allowing malformed data into business logic.
Thread safety issues
Mutable shared state accessed from multiple threads without synchronization, volatile, or concurrent collections — causing race conditions in production.
Resource leaks
Database connections, streams, and file handles opened without try-with-resources, leading to connection pool exhaustion and OutOfMemoryErrors.
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 Java 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 Java 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 Java?
Yes. We regularly audit Java 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 Java healthcare apps?
Common issues include sql injection via string concatenation and missing input validation on the Java 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 Java healthcare app production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Java healthcare app projects, the typical path is: fix security gaps, address healthcare app-specific requirements, optimize Java performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a Java healthcare app?
Our code audit delivers a full report within 24 hours. For Java healthcare app projects, we check security, architecture, performance, and deployment readiness across all Java-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
Java by Use Case
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