Preparing Healthcare Data for the NHS Single Patient Record
Helping healthcare organisations prepare trusted patient data for NHS Single Patient Record initiatives by identifying duplicate records, resolving fragmented patient identities, and improving data quality across clinical systems.

The NHS Initiative to Create a Single, Trusted Patient Record
The NHS Single Patient Record is a national initiative to connect patient information across hospitals, GP practices and other healthcare services into a trusted, shared view. As the programme is rolled out, healthcare organisations will need accurate patient identities and high quality data to support the reliable consolidation of patient data across clinical systems.

One patient can hold two or more NHS numbers, creating duplicate records that divide their medical history across different systems. Resolving patient identity is fundamental to building a trusted Single Patient Record.
Source: NHS England, Data Quality Incidents
Six Key Data Quality Challenges Healthcare Organisations Need to Solve for the SPR to Succeed
The NHS Single Patient Record relies on patient data that is accurate, complete and consistently linked across every clinical system. Hospitals, GP practices and community services can only share a reliable patient record when they solve these challenges.
Duplicate Patient Records
The same patient appears under different names, dates of birth or identifiers across different systems such as A&E, GPs, outpatient, social care centers. Resolving those identities consistently is critical before patient records can be shared.
Inconsistent Patient Information
Names recorded in different formats, addresses entered inconsistently, dates of birth with typographical errors, gender and ethnicity fields populated differently from system to system are surface-level variations that need prompt resolution before data is shared across systems.
Multiple Identifiers Across Systems
NHS number, local patient identifier, hospital number, become multiple identifiers for one patient. Legacy EPR systems, local databases inherit these IDs while carrying their own identifier conventions, making cross-system identity resolution a significant challenge.
Missing or Incomplete Records
Missing demographic information, outdated contact details and incomplete patient records reduce confidence in automated matching and increase the amount of manual review required before data can be shared.
Legacy Data Carried Forward
Every EPR migration, trust merger or system upgrade oftean carries the data quality problems of the previous system forward, with historical inaccuracies, formatting errors and non-standard values continuing to exist within systems.
Maintaining Trust in Shared Data
Healthcare organisations need confidence that patient records remain accurate as new data enters their systems. Ongoing data quality processes, audit trails and repeatable matching rules help maintain a trusted patient record beyond the initial implementation.
The Processes That Make the Single Patient Record Possible
Healthcare organisations need proven data management processes to resolve patient identity challenges, reconcile conflicting patient information, and create trusted patient records that support the Single Patient Record.

Patient Identity Resolution
Accurate patient identity resolution relies on probabilistic & deterministic matching functions to reduce duplicate records before they reach downstream systems. It helps healthcare organisations link patient information across different sources, improving continuity of care, reducing manual reconciliation, and increasing confidence in the information shared between care providers.
Entity Resolution and Record Survivorship
Entity resolution evaluates the complete context of a patient rather than individual fields in isolation, using names, addresses, identifiers and the relationships between them to resolve complex identity variations. Record survivorship then applies governance rules to build these records from the most reliable information available across every source system.


Golden Records and Persistent ID Creation
A golden record provides a trusted, consolidated view of each patient using the most reliable information available across every source system. Assigning a persistent ID ensures every future patient record can be linked back to that same identity, supporting consistent patient matching, reducing repeat reconciliation, and maintaining continuity as new data enters the healthcare ecosystem.
Preparing Your Healthcare Data for the Single Patient Record
WinPure helps healthcare organisations resolve patient identity, consolidate patient records and maintain persistent patient identities across clinical systems. By combining data cleansing, matching, entity resolution and golden record creation in a single platform, WinPure prepares patient data for secure, reliable information sharing across the healthcare ecosystem.
Clean, Standardise, Fix Millions of Messy Records in Seconds
Standardise names, addresses, date formats and demographic fields across every source system either using our no-code tool, or with WinPure’s AI assisted CleanAI™ that analyses your data and generates a cleaning matrix tailored to your dataset, identifying errors and data quality issues across more than 30 categories. Apply the recommended rules with a single click to clean millions of records in minutes.

Where Healthcare Organisations Typically Use WinPure
Patient data quality challenges arise across a wide range of healthcare projects and programmes. These are the scenarios where healthcare data teams most commonly work with WinPure.
EPR Migrations
Clean, standardise and deduplicate patient data before migrating to a new EPR. Prevent historical data quality issues from being carried into the new platform.
Integrated Care System alignment
Match and maintain patient identities across hospitals, GP practices and community care providers. Improve data consistency to support joined up care across the ICS.
Shared Care Record programmes
Prepare patient data for secure information sharing across healthcare organisations. Create trusted patient identities that improve the quality and reliability of shared records.
Master Patient Index projects
Create and maintain a trusted patient index by linking records across multiple clinical systems. Assign persistent IDs that support consistent patient identity over time.
AI Readiness
Improve the quality of patient data before introducing AI into clinical or operational workflows. Reduce duplicate, incomplete and inconsistent records that affect AI outputs.
Healthcare Analytics
Prepare accurate, deduplicated patient data for reporting, operational planning and population health analysis. Increase confidence in the information used to support clinical and business decisions.
Questions We Hear from Healthcare Data Teams
Planning a Single Patient Record initiative?
Speak with our team to learn how trusted patient identity and high-quality healthcare data can support successful implementation.






