Peterborough and Stamford Hospitals to Tackle A&E Targets with New Analytics Tool

Connexica Hospital staff are to get the rapid insights they need to improve everything from A&E waiting times to patients' lengths of stay, now that Peterborough and Stamford Hospitals NHS Foundation Trust has commenced deployment of a new analytics capability across the organisation.

For the first time, Connexica's CXAIR will provide senior doctors, nurses and managerial staff across the trust with the ability to generate instant reports and dig into unprecedented detail on clinical activity, patient discharge times, A&E performance and whole range of other clinical and business areas, so that they can immediately respond to pressures and target resources at priority patients.

A&E has been an immediate focus and developers have already used CXAIR to create a daily A&E dashboard. This will allow clinicians and managers to see data from a variety of systems at a glance and interrogate that information in the detail required, so they can monitor and respond to the effectiveness and timeliness of care within the department, all without the need for technical data skills.

Alec Dearden, head of information services at Peterborough and Stamford Hospitals NHS Foundation Trust, said: "This represents a step change in the way clinical staff and executives across the trust will be able to use data to understand pressure points, improve our services to patients and to measure how well we are delivering against our goals.

"Staff throughout the hospital will no longer need to request reports from the information team. Self-service analytics, available through CXAIR, will allow people to immediately see where they need to take action. They will be able to look at the root causes of what is happening and understand where they need to focus resources - both in business areas and for patient groups."

The A&E dashboard is just one innovation made possible through the new analytics tool. Another early application of the technology will be to examine discharge rates in the hospital, so that staff can tackle any emerging factors that might delay a patient’s discharge and reduce lengths of stay across the trust.

The trust will also use CXAIR to monitor major investments. Senior hospital managers will use the technology to closely examine key performance indicators (KPIs) on large projects. This is already being applied to the trust’s electronic document management (EDM) programme, a key initiative in the drive to become paperless. The analytics platform will help to enhance project governance and allow managers to continually monitor performance, ending a reliance on manual ad hoc reports.

Automated reporting and ease of use by non-technical staff, was a key deciding factor for the trust in procuring CXAIR. Developers and information service professionals will no longer manually generate reports through Microsoft Excel and SQL tools, meaning that they can focus their efforts on other mission critical tasks for the trust.

Fast deployment was also critical. Initial go live with the trust’s IT team happened within weeks of a decision to use the technology and deployment to business teams is now developing at pace with clinical teams set to receive access in the near future. Reports themselves are created at a much faster pace through CXAIR and in some instances have been developed within an hour, instead of the months of development time required by other technologies previously used in the trust. Continual future developments are expected. For example, it is anticipated that CXAIR could make it easier to share reports with community partners outside of the hospital.

Richard Lewis, Connexica's managing director, said: "Identifying insights and seeing information at a glance is essential for ensuring the best possible services are delivered to patients. CXAIR has allowed staff to interrogate the trust’s data within days of trust using the system. As the tool helps to generate growing numbers of reports and dashboards, staff across the trust will be able to understand demands and manage services even more effectively."

About Peterborough and Stamford Hospitals NHS Foundation Trust
Peterborough and Stamford Hospitals NHS Foundation Trust was formed on 1 April 2004 as one of the first 10 foundation trusts created under the NHS Act 2003.

The trust's 4,000+ staff deliver a full range of acute services, including maternity and paediatrics, to communities across Peterborough, South Lincolnshire, Cambridgeshire, Leicestershire, and Norfolk from the 623-bed Peterborough City Hospital and Stamford and Rutland Hospital, which has 22 inpatient beds. Peterborough City Hospital opened in November 2010 and is a state-of-the art hospital building where half of the inpatient beds are in single rooms with their own ensuite facilities.

About Connexica
CXAIR is a search-based business intelligence, analytics and reporting tool that integrates any data source from any system in an NHS organisation. Its intuitive search capabilities break down data silos, and its advanced report-building functionality provides a complete picture of patient health, the journey from diagnosis to discharge and the organisation’s overall performance.

Most Popular Now

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...

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...

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...

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...

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...

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...

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...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...