Technology | October 21, 2010

Partnership Formed to Evaluate Workflow Solutions

October 21, 2010 – Poiesis Informatics has partnered with the University of Chicago Medical Center in order to test and further develop IT solutions for healthcare. The partnership will allow the company to work within the medical center’s radiology informatics department.

This agreement will serve to further the capabilities of Poiesis’ technology platform, the Poiesis Workflow Orchestration Suite, in an effort to support rich interoperability of healthcare systems and enterprise workflow. Feedback and evaluations resulting from this partnership will strengthen the user-driven software offerings that Poiesis continues to expand upon in the areas of workflow, communication and quality.

“Poiesis has been a very important partner that has provided mission-critical, customized workflow solutions that have enabled us to greatly enhance both service quality and efficiency at the University of Chicago Medical Center,” said Richard Baron, M.D., chairman, department of radiology. “We welcome the opportunity to strengthen our collaboration; we are confident this relationship will allow us to address future complex workflow requirements that will challenge all radiology departments.”

Poiesis’ sophisticated workflow solutions orchestrate an optimized experience for healthcare providers. Formerly as part of the University of Pittsburgh Medical Center’s Radiology Informatics Department and working under the direction of Paul Chang, M.D., the founding partners gained extensive experience in healthcare software development and professional services.

For more information: www.poiesisinformatics.com

Related Content

DR 800 multi-purpose digital imaging system with Dynamic Musica
News | Digital Radiography (DR) | July 20, 2018
Agfa displayed the new DR 800 multi-purpose digital imaging system with Dynamic ...
Fujifilm to Host Pediatric Imaging Best Practices Symposium at AHRA 2018
News | Pediatric Imaging | July 18, 2018
Fujifilm Medical Systems U.S.A. Inc. announced that it will offer educational opportunities and exhibit its latest...
Study Points to Need for Performance Standards for EHR Usability and Safety
News | Electronic Medical Records (EMR) | July 18, 2018
A novel new study provides compelling evidence that the design, development and implementation of electronic health...
Guerbet, IBM Watson Health Partner on Artificial Intelligence for Liver Imaging
News | Clinical Decision Support | July 10, 2018
Guerbet announced it has signed an exclusive joint development agreement with IBM Watson Health to develop an...
Sponsored Content | Whitepapers | PACS | July 09, 2018
The move toward value-based reimbursement (VBR) models is putting pressure on healthcare organizations to modernize...
Sponsored Content | Case Study | PACS | July 09, 2018
One of the Northeast’s major teaching hospitals is an international leader in virtually every area of medicine. It has...
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...
Overlay Init