A healthcare organisation may discover that one person has several records after attending different locations or using different booking channels. The information system can flag a possible match, but deciding what to do requires an appropriate process. The challenge involves registration practice, identity information and the responsibilities of authorised staff, not simply a software function labelled merge.

Where duplication begins

The organisation should understand how new records are created and what information staff can reliably obtain. Different channels may apply inconsistent rules or lack access to existing records. Reviewing those points can reveal why duplication continues, allowing the provider to improve the process that generates the problem rather than repeatedly clean up its consequences after the event.

A controlled review

Possible matches require appropriate assessment before records are changed. Similar names or contact details alone may not establish identity. The provider's qualified information-governance and clinical teams should determine the necessary controls, preserving an accountable history of decisions and avoiding shortcuts that could combine information belonging to different people or obscure the source of a correction.

Communication across sites

A correction at one location may not update every connected system automatically. The organisation needs to understand those interfaces and the work required to maintain consistency. Staff should also know how to raise concerns when they encounter conflicting information, so the issue enters a managed process rather than being resolved informally in a local workaround.

Better data at the entrance

For investors, sustained improvement depends on prevention as well as remediation. Clear registration processes, staff support and appropriate system design can reduce recurring administrative effort. A dependable identity process strengthens the organisation's ability to maintain useful records, with technology supporting accountable decisions rather than being expected to settle every ambiguous case without human responsibility.

References
  1. WHO — health data quality assurance ↗
  2. ALFA — ecosystem whitepaper ↗