Healthcare

Typical input data

1. Paper medical records and administrative files

   Historical patient files and health administration documents.

2. Test sheets, prescriptions, and results

   Laboratory sheets, prescriptions, and result documents.

3. Payment, insurance, and admission records

   Billing, insurance, and admission or discharge paperwork.

Hard problems we solve

1. Sensitive data and high security requirements

   Records require strict access control and handling rules.

2. Many forms and specialties

   Formats differ across departments, periods, and specialties.

3. Handwriting, symbols, and non-uniform data

   Handwritten entries, shorthand, and inconsistent structures.

4. Preserving sources and controlling exceptions

   Original evidence must be kept, and exceptions must be visible.

Target outputs

1. Structured data by business scope

   Data structured to the agreed operational scope, not beyond it.

2. Record metadata and indexes

   Metadata and index structures for each record set.

3. Source evidence links

   Links from each value back to its source evidence.

4. Exceptions for qualified review

   Unresolved cases routed to qualified staff for review.

5. Integration by approved standards

   Delivery aligned to approved standards and systems only.

Where the value lives

CHINH PHONG is a controlled conversion layer: it turns legacy records into governed data. It does not replace hospital systems or make clinical decisions.

Start with one representative dataset

Select a representative dataset, then lock the schema, business rules, critical fields, missing and conflicting-source rules, sensitive-data controls, exception review, and acceptance criteria. Run a benchmark before scaling production.