Basildon and Thurrock University Hospitals NHS Foundation Trust Implements New EPR System

A new electronic patient record (EPR) system is providing staff at Basildon and Thurrock University Hospitals NHS Foundation Trust with faster access to the very latest patient information across reception areas, wards and clinics. The new system, Medway EPR, supplied by System C, a McKesson Company, went live on Saturday 2 November 2013. It replaces an old patient administration system which had been in place for nearly 30 years.

Mark Magrath, Commercial Director at Basildon and Thurrock University Hospitals, said: "The current requirements of our hospitals had outgrown our old patient administration system, so it was the right time for the Trust to invest in a new one.

"The new system provides staff with speedier access to patient records, and has additional functions to assist with bed management and patient safety."

Steve Thorndyke, EPR Project Manager at Basildon and Thurrock University Hospitals, adds: "To ensure that there was minimal disruption to patients and services it was vital to the Trust, and the 1,600 staff who had been trained, that the new system implementation went as smoothly as possible, and on schedule. We were delighted to achieve this, within a nine month implementation period, which is testament to the hard work of all those involved."

The Medway modules that have been implemented include a Master Patient Index and case note tracking. The deployment has also seen the Medway EPR integrate the Trust's AGFA PACs and Fortrus Möbius Electronic Medical Record (EMR) systems with single sign on, allowing data to be viewed across these systems whilst maintaining patient context. This integration with existing systems at the Trust is provided through the Medway Connect integration platform.

Paul Richards, Managing Director, Health and Social Care, McKesson, comments: "This is another example of System C's ability to deliver highly efficient Medway deployments. The successful go-live at Basildon and Thurrock University Hospitals is due to the combined efforts and professionalism of both the Trust's operational staff and the System C team. The smooth migration of more than a million patient records highlights our ability to work with Trust staff to deliver expert implementations which allow the NHS to focus on providing high quality care for patients."

Talking about future development plans for the system, Mark Magrath continues: "The Trust plans to go-live with order communications and results reporting early next year, which will help remove duplicate requests and improve data quality. We intend to continue to make the best use of the latest information technology to improve the care we provide to our patients."

Most Popular Now

Integrating Care Records is Good. Using …

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion. A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI Model Converts Hospital Records into …

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of complex patient histories...

AI Sharpens Pathologists' Interpret…

Pathologists' examinations of tissue samples from skin cancer tumours improved when they were assisted by an AI tool. The assessments became more consistent and patients' prognoses were described more accurately...

AI Tool Detects Surgical Site Infections…

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming...

Forging a Novel Therapeutic Path for Pat…

Rett syndrome is a devastating rare genetic childhood disorder primarily affecting girls. Merely 1 out of 10,000 girls are born with it and much fewer boys. It is caused by...

Mayo Clinic's AI Tool Identifies 9 …

Mayo Clinic researchers have developed a new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, using a single...

AI Matches Doctors in Mapping Lung Tumor…

In radiation therapy, precision can save lives. Oncologists must carefully map the size and location of a tumor before delivering high-dose radiation to destroy cancer cells while sparing healthy tissue...

AI Detects Fatty Liver Disease with Ches…

Fatty liver disease, caused by the accumulation of fat in the liver, is estimated to affect one in four people worldwide. If left untreated, it can lead to serious complications...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...