What is Electronic Health Record (EHR) Data? Uses, Types & Dataset Examples

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Eugenio Caterino
Editor & Data Industry Expert

What is Electronic Health Record Data?

Electronic Health Record Data is a collection of patients’ and population’s health records in digital form. This data contains the health records of a patient, including medical history, demographic information, vital signs, immunizations, laboratory results, and underlying medical conditions. By being in digital form, health records can now be available anytime and anywhere, and health care providers can make timely decisions to improve the quality of care they provide.

Best Electronic Health Record (EHR) Datasets & APIs

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40% revenue share
5.0(3)

McGRAW Global B2B Healthcare Professionals Data | 16 MM Mailing List Masterfile

by McGRAW
Available for 250 countries
16 Million Healthcare Professionals Records
4 years of historical data
100% DPV Coded
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4.6(4)

Healthcare Professional Database

Available for 66 countries
1.2M records
95% validity and match rate
Pricing available upon request
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5% Datarade discount
5% revenue share

Dataplex: All CMS Data Feeds | Access 1519 Reports & 26B+ Rows of Healthcare Data Reporting | Perfect for Historical Analysis & Easy Ingestion

Available for 1 countries
1.5K + Aligned Reports
14 years of historical data
100% columns aligned and cleaned
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Top Electronic Health Record (EHR) Data Providers

The primary selection criteria for Electronic Health Record (EHR) data providers should center on the accuracy, security, and interoperability of the healthcare information offered, ensuring it aligns with the specific needs of healthcare organizations.

Electronic Health Record (EHR) Data Explained

How is Electronic Health Record Data collected?

Electronic Health Record data is collected through many credible data repositories. Before we go to data collection, you might encounter the term health medical records, which is different from EHR. The electronic medical record is only used for a single practice’s copy of a patient’s charts, while the EHR is a patient’s record that is allowed to be shared with authorized parties. The data is stored through a data repository via cloud servers or local servers.

What are the typical attributes of Electronic Health Record Data?

When accessing Electronic health record data, the typical attributes you should look for are:
Accuracy of record : This includes the physical and emotional health of the patients and the time data was collected, the level of communication skills used by the health worker, access to previous records, and possible outcomes of future diagnosis. All data must be complete and free from error.
Access to record : This refers to how fast health record data can be retrieved.
Comprehensiveness of record : This refers to how complete the record data is, making sure there are no missing pages or charts.
Timeliness and relevancy of record : This refers to the usefulness of records, in terms of how up-to-date it is and how closely it links to the user’s specific needs.

What is Electronic Health Record Data used for?

Electronic Health Record Data is used to improve the quality of health care. Marketers and health care providers use this data to create a specialized health plan that is best suited for a patient. This data is also used to monitor the effectiveness of a health plan. Furthermore, the insights provided by this data is beneficial to future treatments and improvement of health care. This data is also used by the researcher to review active conditions and track drug trial participation.

How can a user assess the quality of Electronic Health Record Data?

In order to assess the quality of Electronic Health Record Data, data providers must first comply with any data privacy act like HIPAA for US patients records. If an EHR data provider complies with these regulations, you can be assured that the data is of high-quality. Furthermore, you can also ask for the process of how they clean their data and how often they update their database. You may also read reviews and ask to sample their data.  

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