Sponsored Content | Case Study | Advanced Visualization | November 02, 2017

Using Ziosoft Automated-Preprocessing to Streamline Workflow

Using Ziosoft Automated-Preprocessing to Streamline Workflow and Make Efficiency and Improved Patient Outcomes a Top Priority

Using Ziosoft Automated-Preprocessing to Streamline Workflow and Make Efficiency and Improved Patient Outcomes a Top Priority
Using Ziosoft Automated-Preprocessing to Streamline Workflow and Make Efficiency and Improved Patient Outcomes a Top Priority

As a 515-bed full-service healthcare facility, Adventist Health Glendale (AHGL) fully understands the importance of efficiency and productivity — from acquisition and processing to study analysis and diagnosis. When Adventist Health Glendale recognized the inefficiencies in its study processing workflow, a progressive technical solution was sought to save time, money and resources, all while maintaining the highest patient care. Ziostation2’s Automatic Preprocessing proved to be the advanced visualization platform to take their processing workflows to the next level of efficiency.

 

Addressing the Constraints of Conventional Image Processing

As a center that performs thousands of scans and processes thousands of studies per year, Adventist Health Glendale recognizes the productivity challenges that come with this high processing workload. 

“The process of selecting the appropriate protocol, loading the study, waiting for processing to complete, to finally reading and analyzing is an extremely intensive process. All these redundant tasks negatively impact turnaround time and patient outcomes,” explained James Wu, M.D., Ph.D., Medical Director for the Radiology Department at Adventist Health Glendale.

 

Streamlining Workflows Through a Powerful Automated Preprocessing Solution

Adventist Health Glendale relies on the Automatic Preprocessing functionality of Ziostation2 to eliminate the time-consuming constraints of conventional processing solutions. 

Routine and repetitive actions can be completely automated using Ziostation2, thereby fully eliminating the need for human intervention during image processing. “Ziostation2 allows us to set custom macros to automate a variety of different workflows in our department. Appropriate protocols are automatically started and study images are processed in the background,” said Clayton Lau, Radiology Director at Adventist Health Glendale.

 

Delivering Increased Efficiency for Better Patient Outcomes

By automatically loading and processing studies in the background, Ziostation2 Automatic Preprocessing greatly reduces the waiting time for study reading. With full control over Automatic Preprocessing macro settings, endless workflows can be streamlined based on acquisition protocols. 

“After implementing Automatic Preprocessing in our department to fit our objectives, we’ve been able to greatly reduce the time it takes from acquisition to reading room. This has dramatically increased our efficiency and productivity,” said Rafael Rodriguez, CT/MRI Supervisor at Adventist Health Glendale.

For more information: www.ziosoftinc.com

Related Content

News | Advanced Visualization | November 13, 2018
Canon Medical Systems USA and Applied Radiology will host a pair of expert-led forums in high-resolution imaging and...
Deaconess Health System Chooses Sectra as Enterprise Imaging Vendor
News | Enterprise Imaging | November 02, 2018
International medical imaging information technology (IT) and cybersecurity company Sectra will install its enterprise...
The OnSight 3D Extremity System captures weight-bearing 3D extremity exams.
Sponsored Content | Whitepapers | Advanced Visualization | October 24, 2018
The OnSight 3D Extremity System captures weight-bearing 3D extremity exams.
Enterprise imaging has been a hot topic in radiology and healthcare information technology (IT) circles for the last several years as medical image acquisition has moved beyond the exclusive purview of radiology.
Feature | Enterprise Imaging | October 03, 2018 | By Jeff Zagoudis
Enterprise imaging has been a hot topic in radiology and healthcare information technology (IT) circles for the last...
Brainlab and Magic Leap Partner in Digital Surgery
News | Advanced Visualization | September 28, 2018
September 28, 2018 — Brainlab announced a strategic development partnership with Florida-based Magic Leap, a develope
EOS Imaging Installs First Site in Mexico
News | Orthopedic Imaging | September 24, 2018
EOS imaging recently announced the first installation of an EOS system in Mexico, the largest Central American market,...
Artificial Intelligence Provides Faster, Clearer MRI Scans

A new artificial-intelligence-based approach to image reconstruction, called AUTOMAP, yields higher quality images from less data, reducing radiation doses for CT and PET and shortening scan times for MRI. Shown here are MR images reconstructed from the same data with conventional approaches, at left, and AUTOMAP, at right. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital

News | Artificial Intelligence | July 17, 2018
A research team with funding from the National Institute for Biomedical Imaging and Bioengineering (NIBIB) has...
iSchemaView Brings RAPID Imaging Platform to Australia and New Zealand
News | Stroke | July 13, 2018
iSchemaView has signed Diagnostic Imaging Australia (DIA) to be the exclusive distributor for the RAPID cerebrovascular...
3-D Imaging and Computer Modeling Capture Breast Duct Development

An image of a developing mammary duct. Image courtesy of Andrew Ewald.

News | Breast Imaging | June 28, 2018
A team of biologists has joined up with civil engineers to create what is believed to be the first 3-D computer model...
3D Systems Announces On Demand Anatomical Modeling Service
Technology | Medical 3-D Printing | June 18, 2018
3D Systems announced availability of its new On Demand Anatomical Modeling Service. This new service provides a wide...