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Data Integrity Analyst (Healthcare)
Honolulu, HIMarch 25th, 2026
Title: Data Integrity Analyst (Healthcare)Short-term contractNo SponsorshipRemote Position SummaryThe Data Integrity Analyst is responsible for ensuring the accuracy and reliability of patient medical records by identifying and resolving registration and documentation discrepancies. Working under the direction of senior analysts or leadership, this role follows established policies and procedures to correct errors within the Epic Enterprise Master Patient Index (EMPI), document imaging systems, and related downstream applications. The analyst also communicates updates and corrections to appropriate departments as necessary.Key ResponsibilitiesInvestigate and resolve patient identification issues such as duplicate records, overlays, and other discrepancies by adhering to organizational guidelines.Manage and complete assigned work queues, including Potential Duplicates, EMPI linkages, and identifier review tasks, to maintain accurate patient identification across the organization and its affiliates.Review and address cases flagged as potential overlays, ensuring appropriate corrections are made.Analyze, research, and resolve documentation-related issues within patient accounts in accordance with internal procedures.Address duplicate record errors resulting from monthly data loads from hospital systems.Collaborate with and provide support to downstream systems and departments by communicating updates related to patient identifiers and record corrections.Participate in EMPI-related initiatives and projects as assigned by senior team members.Success FactorsStrong computer proficiency and data entry skills.Demonstrated ability to think critically and solve problems effectively.Attention to detail with the ability to analyze and resolve data inconsistencies.Effective interpersonal and customer service skills when interacting with clinical staff, patients, and internal teams.Ability to work collaboratively with a diverse group of stakeholders, including physicians, nurses, and administrative personnel.
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