Combating Health Inequities Through EHR Data Collection (EHR Intelligence)

Karen Clemmer 11/16/208:07 AM

November 13, 2020, EHR Intelligence.

A lack of standardization can lead to gaps and inaccuracies in EHR data collection, resulting in inequitable care delivery. But providers are finding ways to overcome this challenge to deliver more equitable care to patients.

Inequities in the healthcare system are abundant. From care delivery to health outcomes, there is a large divide in patient response and outcomes based on demographics such as gender, race and ethnicity, sexual identity, and even zip code.

The LGBTQ+ community has especially documented different and marginalizing experiences in healthcare and traditionally marginalized populations have historically received different care, from C-section rates to diabetes prevention. And while many of these key differences have flown under the radar for some providers, the COVID-19 pandemic is highlighting just how different types of populations experience healthcare.

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A lack of standardization can lead to gaps and inaccuracies in EHR data collection, resulting in inequitable care delivery. But providers are finding ways to overcome this challenge to deliver more equitable care to patients.

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