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One Patient, One Identity: Powering Next-Gen Engagement through Data Unification
The Challenge
A global biopharma found it difficult to manage patient data across multiple systems and geographies. Different therapy areas had their own ways of storing and validating patient information, which made it complex to track patient journeys, consent versions and engagement activities across the markets they operated in.
Key Challenges included:
- Fragmented Patient Data
Patient data was not uniform. Each market had a different CRM or portal, which meant that one patient could exist as multiple records in different systems. The lack of a single identity created issues when commercial and digital teams wanted to engage them in a unified manner. - Consent and Privacy Concerns
Each country had its own compliance rules for patient consent (GDPR, HIPAA). However, the teams didn’t have a real-time system to validate if consent was up to date or valid at the time of use. This created operational slowdowns and audit risk. - Data Duplication and Inconsistency
When affiliates shared patient data, the same record was being duplicated and stored in separate repositories. This duplication caused inconsistencies in analytics and downstream activation. - No Master Identifier
There was no unique ID that connected a patient across systems. This made it difficult to know which touchpoints belonged to which patient, and it delayed insights generation on engagement outcomes. - Disconnected Systems
CRM, SAP, and analytics systems were not integrated. Any reconciliation was manual and time consuming.
Our Solution
Agilisium designed and implemented a centralized Patient Identity Management (IDM) framework that unified patient records, consent data, and system-level integrations into one connected backbone.
Identity Resolution Engine
An engine was built using Azure Data Factory and Databricks that matched records across systems using deterministic and probabilistic logic. This created a golden patient record and reduced duplication drastically.
Consent Lifecycle Management
We introduced a digital consent registry integrated with CRM tools like Salesforce and Veeva. This allowed the compliance teams to validate and track patient consent in real time across regions.
Data Governance and Stewardship
A governance layer was added to maintain audit readiness. The lineage of every patient record was tracked from source to usage, with role-based access to data stewards and compliance users.
FHIR-based Interoperability
APIs were deployed to standardize data flow between different systems, allowing updates and consent changes to sync automatically.
Secure Cloud Framework
The entire setup was hosted on Azure with encryption and masking standards using Purview and Key Vault to meet all privacy regulations.
The Outcomes
Unified View. Continuous Compliance.
The patient IDM framework connected all patient data into one backbone. Now, commercial, compliance and digital teams work off the same repository when they engage patients or review consent history.
One Record, One Source
The golden record acts as the master version for every patient across systems, giving consistent information across therapy and region.
Faster Consent Validation
The digital consent registry automatically validates every consent version before activation, making it easier to stay compliant without delay.
Interoperable Data Exchange
FHIR-based APIs allow seamless integration between CRM, patient portals, and analytics systems.
Analytics Enablement
The data is now ready for patient engagement dashboards that show activation, adherence and journey-level insights.
