Electronic Health Records

EHR Data Mining

Google Patent to Build Predictive Timeline Using EHR Data, FHIR

February 4, 2019 - The United States Patent Office has published a patent application by Google with the goal of aggregating EHR data using the FHIR-based services to predict health events. The system and method described in the application comprise three primary components: a relational database of de-identified electronic health records, a machine learning mechanism, and a device for displaying...

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EHR Data to Provide Real-World Evidence for Clinical Trials

by Kyle Murphy, PhD

EHR data has an important role in the collection and generation of actionable information at FDA. In recent remarks before the Bipartisan Policy Center, FDA Commissioner Scott Gottlieb, MD, emphasized the need for real-world evidence...

Amazon Service Analyzes Patient EHRs, Health Data For Diagnoses

by Kate Monica

Amazon confirmed it is developing a new HIPAA-eligible machine learning service that enables developers to analyze patient EHRs to identify information including patient diagnoses, treatments, dosages, symptoms, and signs in a Tuesday blog...

How Efficient EHR Use Can Improve Chronic Disease Management

by Kate Monica

Effective EHR use can improve care coordination, streamline daily clinical processes, and save hospitals money. However, EHR systems continue to receive blame for contributing to rising rates of physician burnout, a deteriorating...

Hospital EHR Use Helps Improve Weekend Health Outcomes

by Kyle Murphy, PhD

According to researchers from Loyola University Medical Center, hospital EHR use can counteract the weekend effect, a phenomenon wherein health outcomes for patients following weekend surgeries compared to those of their weekday...

Analytics can help you gain value from the data in your EMR

by Sponsored Content

For hospitals wanting to increase their analytics capabilities and understanding, a good place to start is with the data in your EMR system. By aggregating data points from multiple patient files you can find a lot of useful insights about...

How will current EHR adoption, use affect future research?

by Kyle Murphy, PhD

Research from the United Kingdom provides a glimpse into the challenges following the widespread adoption of EHR systems and capturing of patient data electronically. “The present use of EHR databases requires programing expertise...

VA uses EHRs, natural language processing to spot suicide risks

by Jennifer Bresnick

With active military and veteran suicides rising at a shocking rate, eclipsing combat deaths in Iraq and Afghanistan, the Department of Veterans Affairs is placing an increasingly heavy emphasis on its mental health programs, from remote...

Ophthalmology database to boost eye disease data analytics

by Jennifer Bresnick

The American Academy of Ophthalmologists has launched an initiative to create a databank for patients suffering from eye diseases and vision loss in order to give physicians greater insight into treatments based on advanced data...

EHR data mining to flag heart disease, adverse drug events

by Jennifer Bresnick

There’s a wealth of information hidden within the unstructured clinical notes of an EHR, and it’s not always easy to extract that data.  Researchers and developers have been working hard to change that, recognizing the potential for...

VA “routinely” sent unencrypted EHR data to external locations

by Jennifer Bresnick

The VA just can’t seem to find its way out of hot water.  As if the beleaguered agency needed more bad news, a newly released report from the Office of the Inspector General (OIG) has found that certain locations within the...

HIMSS13: What will happen when the health IT boom ends?

by Kyle Murphy, PhD

With HIMSS13 less than a week away, much of the news surrounding the annual event centers on new products and services health IT developers and vendors are looking to sell to healthcare organizations and providers with the promise of...

Solution for searching EHR unstructured data unveiled?

by Kyle Murphy, PhD

An electronic health record comprises two data elements — structured and unstructured — and many in the EHR community have emphasized the value of the latter, comprising physician notes, scanned documents, and other data...



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