Wireless data and transaction systems
Early work in mobile commerce, telecom, platform partnerships, and transaction-based systems created the operating instinct: data has to move through trusted pipes, not sit in reports.
Why Kevin / why this
The career arc behind Trial Telemetry.
The framework comes from a long operating pattern: move real-world patient data into governed workflows where someone can act before the moment is lost.
Remote patient telemetry
Diabetes telemetry work translated daily-life patient data into remote visibility, alerts, and intervention workflows — the earliest form of the signal problem.
Philips virtual care lineage
The connected-care lineage showed that patient-generated data becomes valuable only when it can be routed into workflows, programs, and operating models.
GCP-grade digital clinical operations
Later clinical-development work moved the same logic into regulated study environments: patient-facing capture, digital endpoints, device/data workflows, quality governance, vendor readiness, and audit discipline.
Operational Telemetry
The doctrine layer: ingestion, governance, analysis, and execution. Not more dashboards — trusted signals that can trigger accountable workflow.
Trial Telemetry
The clinical trial application: define and govern signals before FPI, validate launch readiness, monitor execution drift, and preserve decision-grade evidence.
Translation
What this means for sponsors and CROs
This is not a claim that one person built FDA RTCT. It is a practical translation of a career spent building the kinds of patient-facing, regulated, and workflow-aware systems that real-time trials now require.
- Protocol signal feasibility
- Digital endpoint readiness
- Patient and site workflow reality
- Device and vendor dependency mapping
- GCP, Part 11, and inspection-readiness instincts
- Executive operating model design