Data quality on phiz

Custom Vaccine Record Submission Portal: Enhancing Client Experience and Data Processes

Fri, 04 Sep 2026 00:00:00 -0400

VaxLink: streamlining vaccine workflows with barcodes

Wed, 18 Mar 2026 00:00:00 -0400

Delivering quality, attentive service in an immunization clinic requires seamless workflows, but documentation remains a persistent bottleneck. While every vaccine vial features a standardized barcode rich with product and expiry data, clinical systems often lack complete integration. Even with partial support like selecting a lot number from a predefined list, immunizers must still visually decode labels, manually transcribe complex alphanumeric strings, and verify expiration dates by hand, shifting their focus away from the client.

Manual transcription inevitably degrades data quality. A single transposed digit in a lot number necessitates downstream reconciliation, while an inaccurately recorded expiry date introduces genuine clinical risk. Across the thousands of weekly vaccination encounters happening Canada-wide, these small transcription tasks add up to lost time and more opportunities for error.

To mitigate these challenges, we built VaxLink, an lightweight browser extension that automates vaccine barcode capture directly into existing clinical workflows. VaxLink leverages the Public Health Agency of Canada’s National Vaccine Catalogue, for its comprehensive registry of vaccines and lot numbers, enabling VaxLink to verify and enrich scanned vaccine information with an authoritative open data source.

VaxLink: Vaccine Barcode Automation

Fri, 13 Mar 2026 00:00:00 -0400

Explainable AI for Public Health: Client Linkage and Deduplication

Tue, 03 Feb 2026 00:00:00 -0500

Public health data is messy in very human ways. Families share phones and email addresses. Clinics rely on placeholder dates so work can keep moving. Organizations sometimes appear where people should. Any patient deduplication approach that ignores these realities will struggle to produce results teams can trust.

Probabilistic deduplication and linkage is a key public health AI use case that supports responsible stewardship of personal health information. Using machine learning, it estimates match likelihood across records that are often incomplete, transcription-heavy, and not consistently validated against authoritative sources. We treat it as governed, explainable decision support aligned with our responsibilities as a health information custodian (HIC), with equity considerations and routine human review.

STIX File Automated Validation & Remediation

Fri, 01 Mar 2024 00:00:00 -0500

Probabilistic Client Linkage & Deduplication Consultations

Thu, 25 Jan 2024 00:00:00 -0500