Schema and data quality checks
Healthcare Cloud Data
Validate healthcare records for missing fields, unexpected shapes, and data gaps that need review.
What this bullet means
The employer is emphasizing accuracy because healthcare data can affect claims, eligibility, remittances, and downstream reporting.
Sample app idea
Schema Validation Dashboard that flags missing patient, payer, claim, eligibility, and remittance fields with clear review notes.
Main build outline
- Define expected fields for claim, eligibility, and remittance sample records.
- Create validation rules for missing fields, invalid status values, and unexpected record types.
- Display validation results with severity, field name, message, and review status.
- Add tests for complete records, incomplete records, and records that do not match the expected shape.
- Document the accuracy goal and note that sample data is synthetic.
Portfolio proof
- Validation results screenshot with missing fields and schema mismatches.
- Unit test output for complete, incomplete, and mismatched records.
- Synthetic-data note confirming no real patient data is used.
Minimal documentation
- README with the business problem, screenshots, setup notes, and technology stack.
- One requirements note that maps the job bullet to the sample feature.
- One test plan note with happy path, validation, and edge case checks.
- One honest portfolio note that says this is self-directed practice, not employer work.
Modern .NET stack
- Blazor Server or ASP.NET Core Razor Pages.
- C# services with validation and dependency injection.
- SQL Server locally, then SmarterASP SQL Server or Azure SQL.
- Optional Azure App Service, GitHub Actions, Docker, and AI helper feature.