What is Electronic Health Record (EHR) Data? Uses, Types & Dataset Examples
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) Databases & Datasets
Here is our curated selection of top Electronic Health Record (EHR) Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Syntegra Synthetic EHR Data | Structured Healthcare Electronic Health Record Data
Global B2B Healthcare Professionals Data | 16 MM Mailing List Masterfile
Dataplex: All CMS Data Feeds | Access 1519 Reports & 26B+ Rows of Healthcare Data Reporting | Perfect for Historical Analysis & Easy Ingestion
Healthcare Professional Database
Monetize data on Datarade Marketplace
Top Electronic Health Record (EHR) Data Providers & Companies
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. Â
Frequently Asked Questions
Where Can I Buy Electronic Health Record (EHR) Data?
You can explore our data marketplace to find a variety of Electronic Health Record (EHR) Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of Electronic Health Record (EHR) Data Maintained?
The quality of Electronic Health Record (EHR) Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Electronic Health Record (EHR) Data Updated?
The update frequency for Electronic Health Record (EHR) Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Electronic Health Record (EHR) Data Secure?
The security of Electronic Health Record (EHR) Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Electronic Health Record (EHR) Data Delivered?
Electronic Health Record (EHR) Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Electronic Health Record (EHR) Data.
How Much Does Electronic Health Record (EHR) Data Cost?
The cost of Electronic Health Record (EHR) Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Electronic Health Record (EHR) Data for your needs.
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