InterSystems HealthShare Patient Index is a Complete Enterprise Master Patient Index (EMPI) Solution
One person, one electronic health record. That is the ideal, but it’s difficult to achieve. Patients are mobile and receive care in multiple settings, sometimes from different organizations. Healthcare organizations use different electronic health record (EHR) systems, and patient identifiers often vary among them. When healthcare organizations affiliate, multiple identifiers and differences between EHRs complicate the process of information consolidation. And duplicate or misidentified records can be an issue even within a single information system. All it takes is a simple clerical error to result in two different, incomplete records for the same patient.
Merging patient information into a single, accurate, longitudinal record requires an EMPI system to correctly align the different sources. Strategic initiatives including population health management (PHM), accountable care, patient engagement and value-based reimbursement require effective patient identity management as a foundation.
HealthShare Patient Index is an EMPI that provides an automated and easily integrated solution to the challenges of enterprise identity management. It can serve as the single source of truth for patient identity within a healthcare enterprise, across a health information network, or embedded within another solution. Embedded within provider workflows, it can recognize the creation of a duplicate record and trigger corrective action to prevent medical errors or adverse events.
HealthShare Patient Index uses advanced probabilistic and deterministic logic for accurate record matching and the efficient and automatic creation of multi-source, comprehensive health records. Whether for supporting manual record review, embedding within clinical workflows, or automatically linking large volumes of records in accordance with your business rules, HealthShare Patient Index supports safe, efficient, confident care, for the right patient.
HealthShare Patient Index: Adding Safety and Accuracy to Shared Health Information
A sophisticated matching engine sits at the center of HealthShare Patient Index. This set of software algorithms and services provides both deterministic and probabilistic record matching as well as automated tuning tools to adjust the algorithms based on your data set.
Additionally, HealthShare Patient Index Includes:
Whole Record Viewer
To facilitate manual review and validation, the whole record viewer lets you efficiently compare and validate patient identity and demographics across all source records on a single screen.
Data Quality Framework
Data Quality Framework is an analysis utility for examining the quality of source data entering your EMPI. It provides traceability that enables you to identify critical data quality issues and gives you actionable intelligence to correct them at their source.
HealthShare Patient Index automatically determines which records refer to the same individual and creates a single composite demographic record for each patient. When there are slight differences between data sources, the system uses configurable rules to choose the most trusted source. Data that is out of sync or out of date can be highlighted by the system for manual review.
HealthShare Patient Index includes easy-to-use and configurable workflow to manage those cases where manual intervention is required and to automatically notify other systems and facilities about important changes to patient information.
Standards-based APIs for Connectivity
Built-in secure and robust support for standards, including FHIR®, HL7®v2, IHE (PIX, PDQ, PDQm, XCPD), and Web Services, enables you to easily integrate HealthShare Patient Index with the other applications in your enterprise.
A built-in rules engine allows you to create and implement site-specific logic, such as customized patient matching and alerting.
Auditing and Security
A secure, role-based portal manages access to data and utilities. All record updates are audited, as are all decisions to link or unlink patient records.