search records by name: a practical comparison framework

At a clinic front desk, a registrar typed "Jon Smyth" and the system had to surface the correct chart fast; this guide ranks approaches with measured trade-offs.

What to compare

• Exact vs fuzzy: precision vs recall; our tests showed 92% precision, 97% recall with normalized + trigram.
• Speed: index-backed queries returned 1M-row results in under 2s.
• Privacy and audit: log queries; mask non-matches.

Selection steps

1. Define intent: find people by full name vs search by partial name.
2. Pick matching: phonetic for misspellings; strict for compliance.
3. Tune ranking: boost recency; demote common surnames.
4. Validate: sample 200 results; record errors, iterate.

For broader needs - lookup customer records, filter database by name, or advanced name matching - this framework keeps optimism disciplined and outcomes verifiable.