Cambridge University Hospitals NHS Trust Embarks on Proactive Pathology Results Pilot with Carefx

Carefx Corp., a leading provider of interoperable workflow solutions, is working with Cambridge University Hospitals NHS Foundation Trust (CUH) on a new pilot project to improve and simplify the process of placing pathology orders at the point of care.

The six-month pilot will monitor the use of ordering systems and automatically present clinicians with the most recent and relevant test results during the process of placing an order. Rules applied to the current patient and test being ordered are used to decide whether to accept the order or to interact with the user presenting relevant decision support data. By delivering test results during the ordering process, the Trust can enhance decision support and speed of operation for clinicians, significantly improving the quality of patient care and reducing costs.

"This pilot scheme is about providing more complete and accurate information to clinicians at the point of care," said Dianne Nixon, Head of Strategic Systems at CUH and responsible for the IT design of the pilot.

"When the doctor, nurse or consultant orders a test within the pilot scheme, the most recent pathology results are made available automatically as part of the process. The clinical staff member can then choose whether or not to proceed with ordering the test, based on the information presented. This pilot will demonstrate the viability of using decision support in this way to help improve patient care, as well as reducing the number of pathology test requests across the Trust. As a Trust, CUH has always looked for innovative technology solutions to improve patient care. Working with Carefx, we expect this pilot to deliver on both counts," continued Nixon.

The pilot project builds on the Trust's existing Carefx implementation, which provides a more streamlined workflow for clinical staff. Wayne Parslow, EVP and General Manager EMEA for Carefx, commented, "The CUH project is a great example of how NHS Trusts are looking to improve the quality of patient care by making more efficient use of IT resources and staff. By being more proactive in information delivery at the point of care, CUH can ensure that patients are treated faster and more effectively. Carefx technology interoperates with existing applications and resources and does not require changes to these systems, enabling Trusts to bring together a unified view of patient data for clinical staff as they need it."

About Carefx Corporation
Carefx supports healthcare organizations in achieving their vision of advancing the quality and safety of patient care delivery through its Fusionfx suite of interoperable workflow solutions. Fusionfx streamlines and simplifies clinical and business workflow and connects care providers to the information they need - where, when, and how they need it. By managing care transitions and information gaps between diverse systems, departments and facilities, Fusionfx delivers crucial patient information with speed, efficiency and logic. Carefx supports more than 700 hospitals, health systems, regional health information organizations (RHIOs) and health information exchanges (HIEs) across North America and Europe.

For more information, visit www.carefx.com.

Most Popular Now

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Digital ECGs at Barts Health: A High-Imp…

Opinion Article by Dr Krishnaraj Sinhji Rathod, consultant in interventional cardiology, Barts Health NHS Trust. Picture the moment. A patient in an ambulance, enroute to hospital with new chest pain. Paramedics...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

Study Sheds Light on Hurdles Faced in Tr…

Implementing artificial intelligence (AI) into NHS hospitals is far harder than initially anticipated, with complications around governance, contracts, data collection, harmonisation with old IT systems, finding the right AI tools...

Using Deep Learning for Precision Cancer…

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in Nature Communications, the...

New AI Approach Paves Way for Smarter T-…

Researchers have harnessed the power of artificial intelligence (AI) to tackle one of the most complex challenges in immunology: predicting how T cells recognize and respond to specific peptide antigens...

Study Used AI Models to Improve Predicti…

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the...

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...