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AI Strategy & Consulting
Data Strategy & Governance
Healthcare & Diagnostics

Data Strategy and Governance Programme for a Precision Diagnostics Network


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Problem

Clinical and molecular silos

A precision-diagnostics network of 14 labs and clinics held clinical records in per-site systems and molecular results in instrument-level silos, with no common patient identifier between them. Internal research requests took weeks of manual assembly, field definitions differed between sites, and compliance concerns meant most cross-site data sharing was simply refused rather than governed.

Solution

Unified governance and access model

We delivered a data strategy and governance programme: a network-wide clinical-molecular data dictionary, a master patient index approach for record matching, tiered access controls with standardised de-identification rules, and a stewardship council with named owners per domain. A phased consolidation roadmap then moved sites onto the shared model, with automated quality checks gating each migration.

Measurable Impact

What changed after launch

14 labs and clinics aligned on a single clinical-molecular data dictionary covering 300+ fields

Average turnaround on internal research data requests cut from 3 weeks to 4 days

92% of legacy records matched to the master patient index in the first consolidation phase

Zero data-sharing findings in the network's first compliance audit after the programme

Tech & Tools Used

What powered the build

Python
PostgreSQL
Snowflake
dbt
Apache Airflow
Great Expectations
OpenMetadata
AWS S3 + Lake Formation
Docker

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