An electronic health record (EHR) is the systematized collection of patient and population electronically stored health information in a digital format. These records can be shared across different health care settings. Records are shared through connected networks, enterprise-wide information systems or other information networks and exchanges.
EHRs may include a range of data, including demographics, medical history, medication and allergies, immunization status, laboratory test results, radiology images, vital signs, personal statistics like age and weight, and billing information. EHR automates access to information and has the potential to streamline the clinician's workflow. The EHR also has the ability to support other care-related activities directly or indirectly through various interfaces, including evidence-based decision support, quality management, and outcomes reporting.
EHRs are the next step in the continued progress of healthcare that can strengthen the relationship between patients and clinicians. The data, and the timeliness and availability of it, will enable providers to make better decisions and provide better care.
Some of the ways in which EHR improves patient care include,
Reducing the incidence of medical error by improving the accuracy and clarity of medical records.
Making the health information available, reducing duplication of tests, reducing delays in treatment, and patients well informed to take better decisions.
Reducing medical error by improving the accuracy and clarity of medical records.
This medical data can also be fed into data science pipelines, machine learning and AI models to make predictions for organizations or governments. Learn more about data analysis in our Data Science or Artificial Intelligence Classes.
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