Brighton & Sussex University Hospitals Improves Patient Care Visibility with Stone Group

Brighton & Sussex University Hospitals NHS Trust (BSUH) in partnership with Stone Group, has completed the installation of a new electronic bed management system as part of improvements to ward efficiency and patient care throughout its six hospitals. The project involved the installation of around 70 Samsung Large Format Display (LFD) monitors with touch screen capability across all inpatient wards through the Trust's two sites in Brighton and Haywards Heath.

The Trust decided to digitise its bed management system in order to improve patient flow and patient care and therefore introduce more efficiencies. The interactive screens installed by Stone Group allow teams to focus work where needed, for example if a bed is required staff can see when the next bed is due and what is outstanding to make it available. They also use a traffic light coding system that allows all staff coming onto the ward, such as a physiotherapist, to quickly and clearly see which patient requires their assessment. In addition, this same information can be accessed remotely on a desktop by the same physiotherapist while on another ward or in their own department.

For many years the hospital operated two systems for patient management: a handwritten dry-wipe board and an electronic desktop programme. These systems were difficult to keep updated in real-time and required valuable time to keep aligned with one another, causing delays to patient discharge and progression throughout the hospitals. Since introducing the new bed management system, the timeliness report - calculated between the time a patient physically moves and time entered on system - immediately brought the average per week down by more than 500 per cent, taking 7-9 minutes in comparison to the previous three days. This can be attributed to the visibility of the interactive screens and the 'drag and drop to discharge' functionality.

"We are delighted with the simplicity, visibility and tidiness of the interactive displays," said Niki Porter, Operational Service Manager, Clinical Administration, BSUH. "We needed to increase visibility of patient information and ensure the same information was visible on every desktop throughout the Trust in order to increase efficiencies in each ward and make decision-making easier and quicker. It is helping our nurses focus on what is crucial - whilst the administrative role is key, our nurses have trained so hard for so long to be able to deliver the standards of care that our patients expect."

Porter continues: "Stone Group was the clear choice for us, demonstrating knowledge and understanding of our position as an NHS Trust, enabling us to make informed decisions. They have provided flexibility and outstanding customer care, completing the installation quickly and seamlessly with minimal disruption to the day to day running of the hospitals."

The installation was completed in three weeks, broken up by a week for staff training. The system is used by nurses on a daily basis as well as doctors and multi-disciplinary teams including physiotherapists, dieticians, occupational health therapists and social workers.

BSUH is an acute teaching hospital working across two campus sites in Brighton and Haywards Heath. It treats over three quarters of a million patients each year from in and around the City of Brighton and Hove, Mid Sussex and the western part of East Sussex.

Most Popular Now

Mobile App Tracking Blood Pressure Helps…

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that developed through a collaboration between the School of Engineering and leading medical institutions in Ghana, has yielded positive results...

Accelerating NHS Digital Maturity: Paper…

Digitised clinical noting at South Tees Hospitals NHS Foundation Trust is creating efficiencies for busy doctors and nurses. The trust’s CCIO Dr Andrew Adair, deputy CCIO Dr John Greenaway, and...

Customized Smartphone App Shows Promise …

A growing body of research indicates that older adults in assisted living facilities can delay or even prevent cognitive decline through interventions that combine multiple activities, such as improving diet...

AI Tool Helps Predict Who will Benefit f…

A study led by UCLA investigators shows that artificial intelligence (AI) could play a key role in improving treatment outcomes for men with prostate cancer by helping physicians determine who...

New Study Shows Promise for Gamified mHe…

A new study published in Multiple Sclerosis and Related Disorders highlights the potential of More Stamina, a gamified mobile health (mHealth) app designed to help people with Multiple Sclerosis (MS)...

AI in Healthcare: How do We Get from Hyp…

The Highland Marketing advisory board met to consider the government's enthusiasm for AI. To date, healthcare has mostly experimented with decision support tools, and their impact on the NHS and...

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

New AI Tool Accelerates Disease Treatmen…

University of Virginia School of Medicine scientists have created a computational tool to accelerate the development of new disease treatments. The tool goes beyond current artificial intelligence (AI) approaches by...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...