Maidstone and Tunbridge Wells NHS Trust's Care Co-ordination Centre Transforms Bed Management

TeleTrackingOne year after implementing TeleTracking's patient flow platform, Maidstone and Tunbridge Wells NHS Trust (MTW) has significantly improved capacity management and operational efficiencies across the 512-bed organisation. As part of the Trust's digital strategy, TeleTracking's software centralises capacity management and creates shared visibility and automation around staff workflows. Now a year into their digital journey, MTW has increased the number of elective procedures performed each day, reduced patient transfer times by 26%, and given nurses and ward staff thousands of additional hours back to care for patients.

MTW is a large hospital trust located across two sites - Maidstone Hospital and Tunbridge Wells Hospital in Kent and Sussex. The Trust serves a population of half a million people, providing a full range of general hospital services and specialist cancer care. As part of a 2020 digital maturity strategy, the Trust partnered with TeleTracking Technologies to improve patient flow and centralise bed management by implementing a Care Co-ordination Centre. Prior to the partnership, MTW relied on manual and paper-based processes to manage capacity within and across the hospital. Like many NHS organisations, the approach involved written notes, hundreds of phone calls, and delays in allocating beds.

On November 24th, 2020, MTW went live with their Care Co-ordination Centre powered by TeleTracking's software and managed by MTW staff. Similar to Air Traffic Control Centres at airports, MTW's Centre is operational 24/7, every day of the year, acting as a centralised hub for capacity management. Now, dedicated professionals have full visibility to MTW's bed capacity, enabling them to efficiently and effectively manage beds and resources in real-time with the flexibility to transfer patients between sites based on staffing and demand levels. To support the Centre, MTW recruited a Bed Turnaround Team consisting of 10 members of staff based at each site. The Team is responsible for cleaning beds and preparing the space for the next patient. Once the bed is available for use, the team updates the Care Co-ordination Centre from a handheld device and the bed is reallocated to the next ready-to-move patient.

Since implementation and go live, MTW has significantly improved efficiency across both sites:

  • More elective procedures performed each day: MTW is the only organisation in Kent where no patient waits over 52 weeks for an elective procedure.
  • More digitally advanced with greater access to data: The centralised, electronic system provides a wealth of information on performance, allowing MTW staff to address challenges proactively and in real-time, continually evaluating processes over time to ensure efficiency is maintained.
  • More efficient patient flow: On average, MTW now completes over 3,000 patient transfers per month.
  • Increased visibility of patients with Covid-19: Since implementation, staff have benefited from real-time visibility of over 3,000 patients who tested positive for Covid-19, ensuring infected patients are isolated from other wards.
  • Reduced ED transfer time by 33 percent: Over 580 hours of bed capacity released from ED patient placements every month through the streamlined Care Co-ordination Centre.
  • Thousands of hours given back to nurses and ward staff: Over 4,500 bed cleans, taking 53 minutes on average, have been completed by the Bed Turnaround Team, releasing 2,290 hours back to administer care per month.
  • Increase in portering capacity: Over 12,000 dispatcher-less portering jobs completed each month, with each job taking on average 23 minutes to complete. Best practices ensure that portering jobs are prioritised on patient needs and allocated fairly across teams.
  • Reductions in bed turnaround time: 40 days of capacity released early over a period of four weeks using automated discharge. All patients are given electronic wristbands which are placed in a dropbox at the point of discharge, immediately alerting the Care Co-ordination Centre and subsequently reducing bed turnaround time.

The introduction of TeleTracking's patient flow platform has been transformative, according to Nick Sinclair, Director of Operations at MTW NHS Trust: "From admission to discharge, we've been able to utilise TeleTracking's platform to streamline the entire process. It has enabled us to operate more efficiently and effectively than ever, with real-time visibility of capacity and the ability to identify potential issues and adapt accordingly. Crucially, TeleTracking gives staff so much time back to care for patients."

Daniel Wadsworth, Account and Optimisation Executive, TeleTracking International, added: "MTW's Care Co-ordination Centre represents an integrated and sophisticated approach to operational excellence and capacity management. Just 12 months after implementation, the results are outstanding; a testament to the dedication of staff and stakeholders at MTW who have completely embraced the technology."

As TeleTracking and MTW enter the second year of the partnership, the trust has ambitious plans to continue driving efficiency through data and innovation. The Trust is currently working towards implementing TeleTracking at a system-wide level, creating visibility of beds at community partners and hospices to improve the transfer process and continue reducing patient wait times. MTW has also unveiled plans to redesign the Care Co-ordination Centre, expanding the facility into a standalone building to increase situational awareness and drive performance.

About TeleTracking Technologies

For every hour patients wait for care, they face objectively worse outcomes. TeleTracking believes it is unacceptable that patients are not able to access the care they need, when they need it, due to operating inefficiencies. Our mission is simple, to ensure no one waits for the care they need. And that’s why more than three decades ago, TeleTracking recognised the significant benefits of a centralised approach to managing patient flow and has implemented more than one hundred health system command centres across the United States and United Kingdom. During the COVID-19 pandemic, TeleTracking partnered with the U.S. Department of Health and Human Resources to collect and share data on America’s hospital capacity, hospitalisation levels, Personal Protective Equipment (PPE) supplies, therapeutics usage, vaccinations, and staffing.

www.teletracking.com/uk

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...