iMDsoft Awarded Position on the NHS London Procurement Partnership's Clinical and Digital Information Systems Framework

iMDsoftiMDsoft®, a leader in clinical information systems, announced that they have been awarded a position on the NHS London Procurement Partnership Clinical and Digital Information Systems (CDIS) framework for Lot 1 - Electronic Patient Record Systems. iMDsoft's clinical EPR solution, MetaVision, offers hospital-wide electronic patient records and includes support for clinical workflow management and decision support, clinical documentation, patient population management, multidisciplinary care team workflows and electronic prescribing as well as medication administration.

According to LPP, the CDIS framework will give organisations access to a highly flexible suite of software applications which bring together key clinical and administrative data in one place. This will be real-time digital information on an individual’s health and care, made available by 2020 to all NHS-funded services. It will also provide comprehensive data on the outcomes and value of services provided, which in turn will support improvement and sustainability.

The offer submitted by iMDsoft along with its two partners, Silverlink Software and InfoMedix, was deemed "the most economically advantageous tender." With two decades of experience in clinical information management, iMDsoft is proud to work with 350 hospitals in 25 countries. Hospital-wide projects are live in Norway, Germany and Israel. Silverlink is a leading UK PAS provider with 20 years of experience. Its PCS PAS system is currently installed at 13 acute and community trusts, covering 45 hospitals in England. InfoMedix, with a proven track record of medical document management across 15 years, is implemented in over 60 hospitals and community centres throughout Australia.

MetaVision provides a single integrated record which can be accessed across departments and hospitals, giving clinicians the platform to coordinate care for their patients and the data they need to make informed decisions about the best course of treatment. Additionally, the system offers mobile electronic observations. It collects vital signs and nursing observations at the bedside, automatically calculates early warning scores and provides automatic notifications when a patient's condition deteriorates and options for escalation to caregivers.

"We are extremely pleased to have been awarded a position on the framework and to have this additional opportunity to help NHS trusts improve patient care and streamline workflow with MetaVision," said Shahar Sery, Executive Vice President of iMDsoft. "The system interoperates with the latest technologies and can easily be incorporated into a hospital's existing IT infrastructure."

About iMDsoft
iMDsoft is a leading provider of Clinical Information Systems for acute, critical care and perioperative environments. The company's flagship family of solutions, the MetaVision Suite, was first implemented in 1999. Hospitals and health networks worldwide use MetaVision to improve care quality and enhance financial results. The system promotes compliance with protocols and best practices, streamlines reporting and supports clinical research. iMDsoft is a wholly owned subsidiary of N. Harris Computer Corporation, headquartered in Wakefield, MA.

Most Popular Now

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...

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...