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.

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.
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.
How are the best in KLAS Health IT vendor rankings created?
KLAS conducts annual assessments of all types of healthcare information systems such as PACS, EMRs and cardiovascular information systems and ranks them. Bradley Hunter, the vice president for value-based care and core solutions at KLAS Research, explains the process of ranking.
AI organizes heart failure patients into 5 distinct groups, helping cardiologists manage care
Researchers used multiple AI models to evaluate EHR data from more than 322,000 heart failure patients. By identifying these subtypes, the group thinks clinicians could perform better risk assessments and make more informed treatment decisions.
VIDEO: 4 key trends in cardiovascular information systems, according to Signify Reseach
Signify Research shares the latest big trends in cardiovascular IT systems, including the role of EMR cardiology modules vs. third-party CVIS, structured reporting, integration into enterprise imaging and inclusion of ambulatory surgical centers.

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.

March 7, 2024

artificial intelligence robot evaluates healthcare data. Novo Nordisk announced a new collaboration with Valo Health, a healthcare technology company focused on using artificial intelligence (AI) technology to identify new drug treatments for cardiovascular disease (CVD).

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.

November 6, 2023

Video of Bradley Hunter, the vice president for value-based care and core solutions at KLAS Research, explaining how the Best in KLAS rates for health informatics vendors are created.

How are the best in KLAS Health IT vendor rankings created?

KLAS conducts annual assessments of all types of healthcare information systems such as PACS, EMRs and cardiovascular information systems and ranks them. Bradley Hunter, the vice president for value-based care and core solutions at KLAS Research, explains the process of ranking.

October 4, 2023

AI organizes heart failure patients into 5 distinct groups, helping cardiologists manage care

Researchers used multiple AI models to evaluate EHR data from more than 322,000 heart failure patients. By identifying these subtypes, the group thinks clinicians could perform better risk assessments and make more informed treatment decisions.

May 26, 2023

Example of a cardiovascular information system (CVIS) cath lab reporting module with a coronary tree model that will auto complete sections of the report based on how the cardiologist modifies the model. Image from the ScImage booth at ACC 2022. Photo by Dave Fornell

VIDEO: 4 key trends in cardiovascular information systems, according to Signify Reseach

Signify Research shares the latest big trends in cardiovascular IT systems, including the role of EMR cardiology modules vs. third-party CVIS, structured reporting, integration into enterprise imaging and inclusion of ambulatory surgical centers.

February 1, 2023

Tablet projecting metaphorical medical hologram

EHR intervention targets acute kidney injuries after PCI

Contrast-associated acute kidney injury is a significant problem in cardiology, especially among patients undergoing percutaneous coronary intervention. Can EHR-generated alerts make an impact?

January 18, 2023

Cardiovascular information systems (CVIS) combine imaging and reporting into one system that allows access across the cardiovascular service line. Here are 7 trends in CVIS according to KLAS.

VIDEO: 7 trends in cardiovascular information systems seen by KLAS

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, explains a few of the key technology trends in cardiovascular information systems (CVIS).

September 30, 2022

VIDEO: 9 key areas where AI is being implemented in healthcare

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains several key artificial intelligence (AI) trends he sees across healthcare.

September 7, 2022

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