This webinar is a must-see use case for radiology practice and hospital leaders seeking to more tightly share and integrate data to improve operations, starting with billing and radiologist workflow. 

Communication failures for diagnostic imaging results can have serious consequences for patient care–and can result in costly medical malpractice cases. Join us and see how how radiologists can be freed from unproductive contact attempts.

Enterprise imaging (EI) is one of the most important areas of focus in modern healthcare, especially in image-heavy specialties such as radiology and cardiology. A new webinar from the teams at  Health Exec and Change Healthcare, “Realizing the Value of Enterprise Imaging: 5 Key Strategies for Success,” examined the value of EI and why healthcare providers need to treat it so seriously. 

Aaron Green, Change Healthcare’s SVP and general manager of radiology and enterprise imaging, has watched the health IT industry go through a great deal of change over the years. Business trends have shifted, new vendors have come and gone, and groundbreaking technologies have evolved so quickly that researchers can hardly keep up.

Artificial intelligence (AI) is still gaining momentum in 2019 as researchers build bigger and better algorithms and vendors release new, state-of-the-art solutions. For healthcare providers, however, the world of AI can still be intimidating in a lot of ways; if you haven’t already started exploring the potential of AI, where do you begin? What’s the first step?

3pm ET June 5, 2019 | This webinar will outline how to improve patient care, lower costs and reduce IT complexity through a well-designed Enterprise Imaging strategy.

Medical imaging is in a big battle with big data. There’s too much data in too many locations, and most often they are not well managed. Data are clearly imaging’s most abundant yet most underutilized strategic asset. 

Sharon Gibbs, director of the radiology department at VCU Health in Richmond, Virginia, aims to provide quality, timely and efficient care. To do so, she must define, analyze and track the metrics and quality needs of her large care providing team, which consists of more than 40 faculty radiologists, over 200 technologists, and numerous other stakeholders. Gibbs knew that a single analytics solution would enable her to gather data more quickly.