News | Enterprise Imaging | November 07, 2017

Sectra Signs Distribution Agreement With Filipino Medical Equipment Provider

Deal brings Sectra’s image sharing solutions to more than 340 customers across the Phillippines

Sectra Signs Distribution Agreement With Filipino Medical Equipment Provider

November 7, 2017 — International medical imaging IT and cybersecurity company Sectra recently entered into a partnership with Medical One Corp., a leading provider of medical equipment in the Philippines. Through this distribution agreement, the Philippines healthcare market will gain access to efficient and patient-centered care with Sectra’s solutions.

Marie Ekström Trägårdh, executive vice president of Sectra AB and president of Sectra Imaging IT Solutions, said the agreement will allows Sectra to help the Phillipine healthcare system expand its ability to share and collaborate around medical images and patient information through consolidation and telemedicine initiatives.

The Philippines has approximately 400 regional and university hospitals that take care of more than 100 million habitants. Sixty percent of the radiology medical specialty is now digital. Medical One has more than 340 customers, of which 40 are regional and university hospitals.

The distribution agreement with Medical One includes Sectra’s Enterprise Image Management solutions, comprising picture archiving and communication systems (PACS) for imaging-intense departments, vendor neutral archives (VNA), and solutions for sharing and collaborating around medical images.

Sectra’s complete enterprise imaging offering is modular and supports the most image-intense departments — radiology, pathology, cardiology and orthopedics. Being built on the same technical platform, customers can easily extend a departmental solution to create a comprehensive VNA and enterprise image management solution without any major investment or replacement of existing components. Sectra’s vendor-neutral approach enables customers to read images from virtually any modality and vendor in a single solution, and to integrate with any standards-based surrounding information system.

For more information: www.sectra.com

Related Content

Atrium Health Debuts Amazon Alexa Skill to Help Patients Access Medical Care
News | Artificial Intelligence | April 18, 2019
Atrium Health patients will now be able to use Amazon’s electronic voice system Alexa to not only locate the nearest...
Oxipit Introduces Multilingual Support for ChestEye AI Imaging Suite
News | Artificial Intelligence | April 16, 2019
The CE-certified ChestEye artificial intelligence (AI) imaging suite by Oxipit is now available in seven European...
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
Radiology Publishes Roadmap for AI in Medical Imaging
News | Artificial Intelligence | April 16, 2019
In August 2018, a workshop was held at the National Institutes of Health (NIH) in Bethesda, Md., to explore the future...
Cambridge University Hospitals NHS Foundation Trust Implements Change Healthcare Enterprise Imaging
News | Enterprise Imaging | April 15, 2019
Change Healthcare successfully implemented its Radiology PACS (picture archiving and communication system), Image...
Sponsored Content | Videos | Information Technology | April 15, 2019
Vital Images has developed a strategy that allows its customers to capture revenues that are otherwise missed while b
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.