Convert Medical Record to Avro

Medical records contain important information about a patient health history, diagnoses, treatments, and care plans. Our system can pull structured data from various types of medical records whether they are PDFs or scanned documents.

We can extract these main parts:

• Patient information (name, birth date, medical record number)
• Visit details (date, doctor name)
• Main complaint and vital signs
• Medical history and current medications
• Allergies
• Diagnosis and treatment plan
• Additional notes from healthcare providers

This is really useful for:

• Adding to Electronic Health Record (EHR) systems
• Medical research and analysis
• Coordinating patient care
• Processing insurance claims

By pulling data from medical records, you can make healthcare processes smoother, improve patient care by making information more accessible, and help with medical research and analysis while keeping patient privacy and data security safe.

Avro is a row-based data serialization system developed within Apache's Hadoop project. It provides rich data structures and a compact, fast binary data format.

Technical Details

Avro uses JSON for defining data schemas, which are stored with the data. This enables schema evolution while maintaining compatibility. The data itself is stored in a compact binary format.

Advantages

• Compact binary serialization
• Schema definition included with the data
• Support for schema evolution
• Dynamic typing and code generation

Limitations

• Not human-readable without special tools
• Less widely supported than formats like JSON or CSV
• More complex to implement than simpler formats
• Less efficient for columnar queries than Parquet