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NYH IMA s 2016 Annual Conference data analytics, EHR, value based payments, ICD-10, information governance, regulatory issues Annual Conference Sponsorship and Exhibitor Opportunities June 5-8, 2016
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How to fill out data analytics EHR value:

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Begin by collecting and organizing relevant data from various sources such as electronic health records (EHR), patient surveys, billing systems, and more.
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Data analytics EHR value refers to the insight and benefits gained from analyzing data collected within an electronic health record system.
Healthcare organizations and providers who use electronic health record systems are required to file data analytics EHR value.
To fill out data analytics EHR value, organizations and providers must analyze and document the data gathered within the electronic health record system.
The purpose of data analytics EHR value is to improve patient care, streamline processes, and identify trends or patterns within healthcare data.
Information reported on data analytics EHR value may include patient demographics, treatment outcomes, medication usage, and healthcare costs.
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