Webinar | Cardiovascular Information Systems (CVIS)| October 05, 2020

WEBINAR: Intelligently Efficient Adult Echo Structured Reporting

GE Healthcare sponsored webinar takes place October 22, 1 PM ET

WEBINAR: Intelligently Efficient Adult Echo Structured Reporting. GE Healthcare explains how AI assisted structured reporting can improve workflow

The dynamics of our world are changing rapidly. Cardiologists are being challenged to complete documentation in an increasingly challenging clinical setting while adhering to ever-changing guidelines. Both of which will require taking workflow efficiency to a higher level, something that was not easy, even in the pre-COVID-19 world. The fact is, 43 percent of cardiologists are burnt out and spend twice as much time interacting with the electronic health record as they do with patients.[1,2]


Join our panel of experts as they share: 

   • Their experience with structured reporting

   • How this has positively impacted their workflow 

   • Perspectives on AI in cardiology and the path forward 


This webinar will also include a preview demo of GE Healthcare’s Centricity Cardio Enterprise [3] with Intelligent Reporting,[4] designed to help cardiologists spend time on what matters most, the patient. 


Intelligent Reporting leverages a rules-based artificial intelligence (AI) engine that can automatically provide findings based on clinical industry standard rules which are incorporated in the software. Ultimately, Intelligent Reporting helps reduce the cardiologist’s documentation burden by providing reports up to 83 percent complete before the physician opens the exam to review.[5] 


Cardiovascular disease is complex. Structured reporting does not have to be. 


The webinar takes place Oct. 22 at 1 PM ET.


Register for the webinar


 


Featured Speakers

 
Dr. Diego Segura-Rodriguez is a cardiologist specialized in cardiac multimodality imaging, working at San Cecilio University Hospital in Granada (Spain)Dr. Diego Segura-Rodriguez is a cardiologist specialized in cardiac multimodality imaging, working at San Cecilio University Hospital in Granada (Spain) where he combines cardiac imaging with clinical cardiology. During his career, Diego has developed skills in echocardiography, including transesophageal and stress echocardiography, reaching advance certification for it by the Cardiac Imaging Association of the Spanish Society of Cardiology. He thinks that multimodality imaging has an essential role on the current cardiology  In this sense, Diego has acquired cardiac MRI and cardiac CT skills and currently uses them in his working routine.


Dr. Anatole Trakhtenbroit, M.D., cardiologist, San Antonio, Texas.Dr. Anatole Trakhtenbroit, M.D., graduated from Albert Einstein College of Medicine in 1984. He completed his internal medicine residency and served as chief resident at the University of Texas Health Science Center in San Antonio. He also completed his cardiology fellowship at Baylor College of Medicine in Houston. He has been with the Cardiology Clinic of San Antonio for 29 years and retired this year. He was a director of non-invasive cardiology at Methodist Hospital in San Antonio and was involved for three years with the implementation of structured reporting from GE CCW system.



Additional Speakers


Moderated by:
Christina Demur GM, Cardiology IT GE HealthcareChristina Demur

GM, Cardiology IT

GE Healthcare

 

Demo provided by:
Jessica Brendsel, ACS, RDCS Solution Consultant, Cardiology IT GE HealthcareJessica Brendsel, ACS, RDCS

Solution Consultant, Cardiology IT

GE Healthcare (prior cardiac sonographer 

and echocardiography lab manager)


Register for this webinar 


 


About Centricity Cardio Enterprise

An integrated Cardiovascular PACS (CVPACS) and Information System (CVIS) that bridges the gaps between care areas and healthcare information systems. It provides a single point of access for patient data, waveforms, images, analysis tools and physician reports – combined with powerful end-to-end management, analytics and workflow tools across the cardiovascular care pathway.



References:


1. The Advisory Board Webinar: Promoting Physician Engagement; Medscape National Physician Burnout, Depression & Suicide Report 2019; Anagnostopoulos, F. et al., “Physician Burnout and Patient Satisfaction with Consultation in Primary Health Care Settings: Evidence of Relationships from a One-with-many Design,” Journal of Clinical Psychology in Medical Settings 19, no. 4 (2012): 401-10; Shanafelt, TD, et al., “Burnout and Medical Errors Among American Surgeons.” Annals of Surgery 251, no. 6 (2010): 995-1000; Grisham, Sarah, “Medscape Cardiologist Lifestyle Report 2018,” Medscape; Kane L, “Medscape Cardiologist Compensation Report 2019,” Medscape. 


2. The Advisory Board Webinar “Promoting Physician Engagement; Grisham, Sarah, “Medscape Cardiologist Lifestyle Report 2018,” Medscape; Sinsky C, et al. “Allocation of Physician Time in Ambulatory Practice,” Ann Intern Med. 165, (2016): 753–760. 


3. Centricity Cardio Enterprise is comprised of Centricity Universal Viewer and Centricity Cardio Workflow. 


4. Available within the Adult Echo Module only.


5. Centricity Cardio Workflow v7 Intelligent Reporting out-of-the-box configuration compared to 2017 IAC guidelines excluding doppler.

 


 


 


 


Related Content

The artificial intelligence-driven Caption Guidance software guides point of care ultrasound (POCUS) users to get optimal cardiac ultrasound images. The AI software is an example of a FDA-cleared software that is helping improve imaging, even when used by less experienced users.

The artificial intelligence-driven Caption Guidance software guides point of care ultrasound (POCUS) users to get optimal cardiac ultrasound images. The AI software is an example of a FDA-cleared software that is helping improve imaging, even when used by less experienced users.

Feature | Artificial Intelligence | September 29, 2020 | Joe Fornadel, J.D., and Wes Moran, J.D.
The number of Federal Drug Administration (FDA)-approved AI-based algorithms is significant and has grown at a steady
Selfied might be used with AI to identify patients with heart disease. Getty Images

Getty Images

News | Artificial Intelligence | August 24, 2020
August 24, 2020 — Sending a photo selfie to the doctor could be a cheap and simple way of detecting heart disease usi
aption Health a leader in medical AI technology, has received U.S. Food and Drug Administration (FDA) 510(k) clearance for an updated version of Caption Interpretation, which uses artificial intelligence (AI) to enable clinicians to obtain quick, easy and accurate measurements of cardiac ejection fraction (EF) at the point of care.

Caption Health a leader in medical AI technology, has received U.S. Food and Drug Administration (FDA) 510(k) clearance for an updated version of Caption Interpretation, which uses artificial intelligence (AI) to enable clinicians to obtain quick, easy and accurate measurements of cardiac ejection fraction (EF) at the point of care.

News | Artificial Intelligence | August 19, 2020
August 19, 2020 — Caption Health a leader in medical AI technology, has received U.S.
In February 2020, the U.S. Food and Drug Administration (FDA) cleared artificial intelligence software to assist in the acquisition of cardiac ultrasound images. The Caption Guidance software from Caption Health is an accessory to compatible diagnostic ultrasound systems and uses artificial intelligence to help the user capture images of a patient’s heart that are of acceptable diagnostic quality. It is aimed at point of care ultrasound (POCUS) exams, where users may not be regular sonographers.

In February 2020, the U.S. Food and Drug Administration (FDA) cleared artificial intelligence software to assist in the acquisition of cardiac ultrasound images. The Caption Guidance software from Caption Health is an accessory to compatible diagnostic ultrasound systems and uses artificial intelligence to help the user capture images of a patient’s heart that are of acceptable diagnostic quality. It is aimed at point of care ultrasound (POCUS) exams, where users may not be regular sonographers.

Feature | Artificial Intelligence | August 18, 2020 | Dave Fornell, Editor
The No.
An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

News | Artificial Intelligence | May 26, 2020
May 26, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a governm
A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

News | Artificial Intelligence | May 19, 2020
May 19, 2020 — Artificial inte...