Patient Identity Management

As hospitals move towards an EHR, millions are being spent towards the implementation of an EHR without much thought to the current challenge of duplicate Master Patient Index (MPI) across an enterprise. Building an EHR on a foundation of duplicate records has serious patient safety and risk management consequences.

Recently, there has been an increased awareness of duplicate records and inaccurate identification of returning patients. This challenge will only compound and grow over time, as hospitals connect various MPIs across the enterprise. Intelligent solutions will need to be applied to lay a foundation for advanced algorithmic logic to ensure that duplicate MPIs are prevented or flagged for quick resolution.

The Shams Group works with hospitals to identify the root cause of continuous duplicate records and unravels the concern with their Patient Identity Management product. Hospitals, clinicians, and even patients are reassured that such obstacles will subside immediately as the integrity of data is improved. There will be a decrease in the number of duplicate records and improved patient safety.

With TSG’s Patient Identity product, you can streamline and merge patient index data and ensure that the most accurate and current patient demographic information is available across the enterprise. Our innovative, browser-based method to merge duplicate data speeds up the process of matching records accurately. You can also help overcome inconsistencies and errors, created by different data entry practices used by multiple registration systems, across a community.

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What's Next?

Compare a multitude of data elements for matching
Rule-based logic that can be customized to fit hospital standards
Match patient records even when their individual data elements are not exactly the same
Reporting tool lists all index data edits and updates
Create a cleaner and more manageable index
Reduce the need to re-enter patient information across multiple MPIs
Drastically reduce costs associated with medical record cleanup
Provide a safety net for human error
Better quality of care with longitudinal patient record

Browser-based model for presentation of patient index data and merging process
Availability of up to 120 data fields for viewing and probing to merge records
Highly accurate algorithms for detecting patient identifiers, and for establishing merges between record numbers representing the same individual
Consolidates/merges duplicate patient medical record index data from multiple sources/systems
Built on Microsoft SQL RDBMS
Synchronizes the HIS database in a real-time mode
Ability to log all transactions with user identification to track data entry and other errors

Ensures current and accurate patient information is available across the continuum of care
Ensures that patients are not asked the same questions repeatedly through episodes of care
Prevents fraud/identity exchanges
Saves time and eliminates errors
Improves data quality
Effortlessly integrates with existing systems and platforms
Preserves organization's existing policies and procedures
Robust audit trail to comply with HIPAA standards