EMR/EHR

Electronic medical records (EMR) are a digital version of a patient’s chart that store their personal information, medical history and links to prior exams, texts and reports. The goal of these systems is to enable immediate access to the patient's data electronically, rather than needing to request paper file folders that might be stored in fragment files at numerous locations where a patient is seen or treated. EMRs (also called electronic health records, or EHR) improve clinician and health system efficiency by making all this data immediately available. This helps reduce repeat tests, repeat prescriptions and repeat imaging exams because reports, imaging or other patient data is not not immediately available. 

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Machine learning predicts hypertension onset from EHR data

Researchers have used data collected from patient electronic health records (EHRs) to train a machine learning algorithm to predict the onset of hypertension in individuals in the next year, according to a study published in the Journal of Medical Internet Research.

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Allscripts integrates with Luma Health engagement system

Allscripts has certified Luma Health’s patient communication platform as a part of the Allscripts Developer Program, enabling Allscripts electronic health record (EHR) users to automate patient-provider communication with text-first action.

Is your cloud service provider HIPAA ready?

Cloud service vendors like Amazon, Google and Microsoft hold valuable patient information, but are they HIPAA compliant?

EHR comorbidity information lacking in accuracy

Electronic health record (EHR) problem lists do not accurately portray a patient's comorbidities, according to a study published in The American Journal of Managed Care.

Natural language processing system defines medical jargon in EHRs

A natural language processing system that defines medical jargon for patients viewing electronic health record (EHR) notes through portals could improve care outcomes, according to a study published in Journal of Medical Internet Research.

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Scribes reduce burnout from EHR use, increase satisfaction in physicians

Medical scribes in charge of electronic health record (EHR) documentation could reduce physician burnout and restore joy to practicing, according to a study published in the Journal of the American Board of Family Medicine.

Natural language processing system identifies care quality through EHRs

Researchers have developed a natural language processing (NLP) system capable of measuring the quality of heart failure inpatient care by analyzing data collected from electronic health records (EHRs), according to a study published in JMIR Medical Informatics.

HHS releases draft Trusted Exchange Framework for interoperability

HHS has released the draft Trusted Exchange Framework, issued by the Office of the National Coordinator for Health Information Technology (ONC), in attaining the level of interoperability required by the 21st Century Cures Act of 2016.

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