Validating identitiy

Posted by / 18-Nov-2019 12:46

Validating identitiy

The complexity stems from many factors including variability in practices of authentication, data collection, technology, and the historical silo approach to patient identification.

And the standards that do exist are limited in scope and adherence is suboptimal.Today’s health data exchange is working toward the goal of interoperability by increasing information sharing across disparate provider organizations using networks and internet-based technologies.To support high quality data exchange, AHIMA has published data quality standards that promote accurate, comprehensive, current, consistent, relevant, timely, granular, precise, accessible, and well-defined data.Existing standards are largely targeted at vendor and source system data format and position, not content accuracy, completeness, or relevance to industry changes.Examples include: The healthcare industry initiative Integrating the Healthcare Enterprise (IHE) has long embraced the need for protocols that address patient identification, including Patient Identifier Cross Referencing Integration (PIX), Patient Data Query (PDQ), and Patient Administration Management (PAM) integration profiles.

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