Healthcare Analytics, Population Health Management, Healthcare Big Data

Patient Matching

Master Patient Index Creates Platform to Tackle Social Determinants

March 14, 2019 - As value-based approaches to healthcare reimbursement become more popular across the industry, provider groups are becoming increasingly focused on addressing the social determinants of health (SDOHs). Social determinants, such as transportation access, housing security, and socio-emotional health, play a critical role in access to care and the ability to sustain engagement with...

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EHR Demographic Data Standards Could Improve Patient Matching

by Jessica Kent

Healthcare organizations should work to adopt more standardized methods of inputting demographic data into the EHR to ensure accurate patient matching, according to a recent report from the Government Accountability Office (GAO). While...

Data Standards, Unique Identifiers Will Reduce Patient Matching Errors

by Jessica Kent

The healthcare industry should prioritize the development of data standards, unique patient identifiers, and engagement from patients if it wishes to reduce the number of patient matching errors that occur on a regular basis, according to...

Health Data Governance, Analytics Bring AHIMA Award to Yale New Haven

by Jennifer Bresnick

A highly structured and comprehensive approach to health data governance, data analytics, and clinical documentation improvement (CDI) has brought the 2018 AHIMA Grace Award to Yale New Haven Health (YNHH). The annual award recognizes...

Pew: Better Patient Matching, APIs Will Enhance Interoperability

by Jessica Kent

Improved patient matching, the effective use of application program interfaces (APIs), and standardized clinical data will enhance interoperability in Medicare and increase health data access for patients, says the Pew Charitable Trusts in...

The Sequoia Project Updates Patient Matching Framework

by Jessica Kent

Improving data integrity, standardizing electronic health record (EHR) practices, and enhancing workflows will reduce the number and severity of patient matching issues, according to a recently released white paper from The Sequoia...

Patient Matching Issues Stem from Poor Data Standardization

by Jessica Kent

Poor data standardization can result in incomplete and inaccurate data collection, patient matching issues, and slower organizational workflows, according to a study published in AHIMA’s Perspectives in Health Information...

Patient Matching Issues Increase Costs, Threaten Patient Safety

by Jessica Kent

Patient matching issues that result in duplicate records and repeated medical care cost an average of $1950 per patient per inpatient stay and over $800 per ED visit, according to a Black Book survey of 1392 health technology...


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