News | Enterprise Imaging | April 14, 2017

Mercy Goes Live with Medicalis to Optimize Imaging Service Line

Medicalis Imaging Workflow Solution is implemented in six months, connecting 50 Mercy imaging facilities

April 14, 2017 — Medicalis recently announced that Mercy, the fifth largest Catholic health system in the U.S., has completed its enterprise-wide deployment of the Medicalis Workflow Solution in just under six months.

With Medicalis’s enterprise workflow orchestrator, Mercy now has a fast and centralized image management system, connecting radiologists, clinicians and support personnel, to increase radiologists’ workflow efficiency and improve patient care. The Medicalis solution connects and manages the flow of images on a single integrated platform across Mercy’s 50 imaging facilities and soon for Mercy’s Virtual Care Center.

Implementation of Medicalis Workflow Solution was part of a comprehensive picture archiving and communication system (PACS) initiative to move Mercy to an integrated, centralized enterprise solution.

Mercy’s imaging services span four states, 50 locations — including 43 hospitals and seven outpatient facilities — and over 2 million annual exams.

Medicalis Workflow Solution is integrated with Mercy’s existing enterprise imaging platforms, electronic medical record (EMR) system and vendor neutral archives (VNA). The flow of radiology studies from the disparate sites is now centralized, eliminating silos and automating radiologist reading across sites, radiology practices and legacy platforms.

Mercy went from several different reading worklists to a single workflow orchestrator so the health system can take advantage of economies of scale and skill.

Medicalis is integrated across multiple instances of Mercy’s EMR, providing a single unified workflow layer for imaging.

“The Medicalis team was lockstep with our staff and vendors for a smooth and efficient implementation,” said Gil Hoffman, CIO, Mercy Technology Services. “Now, Mercy’s radiologists are connected and can work more collaboratively thanks to a single enterprise system. It bridges imaging across Mercy so we can provide better care for patients.”

For more information: www.medicalis.com

Related Content

FDA Clears Bay Labs' EchoMD AutoEF Software for AI Echo Analysis
Technology | Cardiovascular Ultrasound | June 19, 2018
Cardiovascular imaging artificial intelligence (AI) company Bay Labs announced its EchoMD AutoEF software received 510(...
News | Remote Viewing Systems | June 14, 2018
International Medical Solutions (IMS) recently announced that the American College of Radiology (ACR) added IMS'...
Wake Radiology Launches First Installation of EnvoyAI Platform
News | Artificial Intelligence | June 13, 2018
Artificial intelligence (AI) platform provider EnvoyAI recently completed their first successful customer installation...
How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

The red outline shows the manually segmented boundary of a carcinoma, while the deep learning-predicted boundaries are shown in blue, green and cyan. Copyright 2018 Kumar et al. under Creative Commons Attribution License.

News | Ultrasound Imaging | June 12, 2018 | Tony Kontzer
June 12, 2018 — Viksit Kumar didn’t know his mother had...
Zebra Medical Vision Unveils AI-Based Chest X-ray Research
News | Artificial Intelligence | June 08, 2018
June 8, 2018 — Zebra Medical Vision unveiled its Textray chest X-ray research, which will form the basis for a future
Konica Minolta Launches AeroRemote Insights for Digital Radiography
Technology | Analytics Software | June 07, 2018
Konica Minolta Healthcare Americas Inc. announced the release of AeroRemote Insights, a cloud-based, business...
Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Sponsored Content | Case Study | Artificial Intelligence | June 05, 2018
The power to predict a cardiac arrest, support a clinical diagnosis or nudge a provider when it is time to issue medi
How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

Feature | Information Technology | June 05, 2018 | By Greg Freiherr
A regional image exchange system is saving lives and reducing radiology costs in Maryland by improving the efficiency
Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Sponsored Content | Case Study | Information Technology | June 05, 2018
Sharon Gibbs, director of the radiology department at VCU Health in Richmond, Va., aims to provide quality, timely and...
PACS and the Road to Reconstruction
Feature | PACS | June 05, 2018 | By Dave Whitney and Jef Williams
The PACS — picture archiving and communication systems — have been in existence for more than 45 years. One of the...
Overlay Init