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. 

physician acceptance of generative AI

Some communication platforms bring more disruptions than improvements to workflows

A new analysis suggests that physicians who utilize secure messaging platforms for workplace communications might also spend more time taking calls.

Cloud service icon with options and devices

Private equity-backed cardiology group puts cloud-based technology in hands of its cardiologists

Cardiovascular Associates of America, backed by Webster Equity Partners, currently includes practices in eight different states. Its partner cardiologists now have preferred access to multiple cloud-based services provided by Athenahealth. 

EHR interventions increase lung cancer screening by 30% but still leave over half of patients behind

Although CT lung cancer screening is known to improve detection rates and health outcomes, compliance among eligible patients remains lackluster.

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

AI helps cardiologists deliver personalized healthcare—but there is still plenty of work to do

A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.

artificial intelligence robot evaluates healthcare data

AI model for predicting sudden cardiac death more accurate than expected

The new-look algorithm, trained and validated with data from more than 25,000 patients, scans a patient's electronic health record and identifies signs of trouble. 

Video of Patrick McGill, MD, explaining how Community Health Network in Indiana eliminated more than 5 million nuisance alerts.

Indiana hospitals reduce nuisance alerts by 77% with medication decision support software

"Changing just six alerts in the system knocked out about 5 million alerts annually," explained Patrick McGill, MD, executive vice president and chief transformation officer at CHN.

David Higginson explains how Phoenix Childrens Hospital uses AI to rapidly develop new pediatric AI algorithms sometimes in just one day. He spoke at HIMSS 2023 on this subject. #AI #HealthAI #HIMSS

Leveraging machine learning to rapidly create clinical AI algorithms

Phoenix Children's Hospital uses AI to rapidly develop new algorithms to help solve clinical and automation issues specifc to the hospital in as little a few hours.

 

Video of Kateita Hasanovic, RN, senior director, clinical EHR applications at Baptist Health, Jacksonville, Florida, explains how her large health system consolidated its Epic EHR and patient medication history.

How medication reconciliation data consolidation in the EHR enables better patient care

Baptist Health in Jacksonville, Florida, consolidated patient medication history from numerous facilities into one location in its Epic EHR to improve patient safety and allow data analytics.