Lincor Announces Launch of Next Generation Enterprise Server MES2.0 for Hospital Bedside Computing

Lincor SolutionsLincor Solutions, the leading provider of global bedside computing solutions to hospitals, has announced that it will release its unique MEDIVista Enterprise Server software (MES2.0) at MEDICA 09 in Düsseldorf, Germany on November 18-21 2009.

Over the past six years, Lincor has placed significant development investment in its Enterprise Server technology, the backbone of any successful network of bedside computing devices. The technology is configured to reflect the needs of hospital management and Lincor's years of experience in installing complex bedside computing solutions across some of the world's largest multi-disciplinary hospitals. Lincor's significant development effort culminates today in the launch of new industry benchmark, MES2.0.

Lincor's MES2.0 is a feature-rich, full administration system, designed to manage large networks of bedside patient devices via a highly intuitive user-interface, ideal for the management of complex configurations. The system uniquely combines industrial strength reliability and stability with a real-time view of vital operational information together with comprehensive reports and a new series of remote management tools. MES2.0 enables senior IT management at hospitals to efficiently control and manage large bedside installations with relative ease.

"Our new management system, MES2.0, is the industry's most comprehensive back office management system yet. It is the result of many years software development and brings the system to a new level in remote device management" commented Enda Murphy, CTO at Lincor Solutions. "We recognize that whilst demand for bedside computing devices increases so too does the need for more robust and reliable back-office infrastructures to remotely manage them. The large number of requests for clinical computing and digital entertainment at every hospital bedside calls for a system that will effectively manage this demand - MES2.0 is the response."

Lincor will be demonstrating MEDIVista MES2.0 at the following events - MEDICA 09 Düsseldorf at Booth 15A12 on 18-21 November 2009; Health Achieve Toronto on 16-18 November 2009; ArabHealth Dubai at Booth RP29 on 25-28 January 2010.

About Lincor Solutions
Founded in 2003, multi-award winning Lincor Solutions has gained international recognition for its flagship Next Generation point of care technology - MEDIVista. Lincor's patented MEDIVista solution provides clinical staff with a secure and robust interface, via bedside devices, to a wealth of hospital electronic medical record (EMR) and digital imaging (PACS) data plus clinical applications such as test ordering; medication management using barcode identification (RFID); electronic food ordering; and bed management. In addition, the MEDIVista technology enables patients to use touch-screen devices at every bedside to access a range of digital TV and radio, movies on-demand, internet and gaming services.

Lincor Solutions has the world's largest installed base of MEDIVista bedside computing solutions, with over 14,000 bedsides at 60 major hospitals worldwide using the system today. Lincor clients include some of the world’s leading multi-disciplinary and teaching hospitals including Holy Name Hospital New Jersey, USA; Royal Victoria Hospital Ontario, Canada; University College London Hospital and CHRA Annecy, France. Lincor has international offices in Dublin and Cork, Ireland and Toronto and New York in North America.

For more information, please visit http://www.lincor.com.

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

The Human Touch of Doctors will Still be…

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients. Healing with Artificial Intelligence, written by technology expert Daniele...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...

Brain Imaging may Identify Patients Like…

By understanding differences in how people’s brains are wired, clinicians may be able to predict who would benefit from a self-guided anxiety care app, according to a new analysis from...