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Record 07Career record

Clinical informatics, patient-data products, and operational insight

Connected data structures, provenance, business rules, quality monitoring, and decision workflows across patient, device, and study operations.

Period
Ultragenyx · 2019–2024
Kevin’s role
Established the clinical systems data informatics function
patient dataclinical informaticsdata productssemantic datametadataprovenancedata qualitydata forensicsbusiness intelligenceRWDoperational analytics

The remit

Kevin established a clinical systems data informatics function within the Ultragenyx digital clinical organization. His responsibilities included business intelligence, data forensics, data-quality monitoring, operational insight, and decision support. The work addressed how information generated through patient-facing systems, connected devices, sites, and delivery operations could become usable across different teams.

Data as an operating product

His career materials describe reusable data structures, business rules, measures, metadata, provenance, and governed consumption patterns. These elements allow teams to understand what a value means, where it came from, how it has changed, and what decisions it can support. The approach connects product design to the integrity of the information produced by the product.

Patient-reported information, device readings, clinical data, and workflow status are not interchangeable. Kevin’s role was to connect them with enough context to preserve their meaning and to make differences in quality or timing visible to the people using the data.

Quality and feedback

The organization used workflow analysis, KPI monitoring, user feedback, and iterative product improvement to address adoption and completeness. Later career materials report approximately 30% improvement in utilization and data completeness relative to vendor alternatives. The available career records do not include a public metric specification, denominator, study-level breakdown, or independent validation of that figure. It is therefore a reported operating result, not a clinical effect estimate.

The more fully documented responsibility is the creation of the function and its working relationship with product, operations, engineering, quality, and study teams. Those relationships enabled the organization to investigate whether an apparent data problem originated in a device, interface, process, or participant-support gap.

Governance and consumption

Kevin coordinated with Data Management, Clinical Development, QA, vendors, and technology teams. His role included defining business expectations and practical controls around the information the clinical platform produced. Governance was tied to use: different consumers needed different views, responsibilities, and escalation paths.

This work informed his later Operational Telemetry framework, which places trusted and curated data ahead of cross-system signal generation. The later framework is a design proposal; the clinical informatics function described here was part of his employer-side operating experience.

Where this experience is useful

The combination is relevant to patient-data product leadership, digital clinical development, data-quality operations, and organizations trying to connect patient-generated information with research and service decisions. Kevin’s role is strongest in product and operating architecture, interdisciplinary translation, and governance.

Sources and record basis

The project account is based on Kevin’s CV, approved career statements, and supporting project materials. Related public research and professional work are available in the source index.