HIMSS Awards Cambridge University Hospitals Stage 6 Status of the International Electronic Medical Record Adoption Model

HIMSS UKHealthcare Information and Management Systems Society has awarded Cambridge University Hospitals (CUH) with Stage 6 of the international Electronic Medical Record Adoption Model (EMRAM). The Healthcare Information and Management Systems Society (HIMSS) is an international organisation dedicated to improving healthcare quality, safety, cost-effectiveness and access, through the best use of IT. It developed an Electronic Medical Record Adoption Model (EMRAM) in 2005, which measures progress and the cumulative capabilities of Electronic Medical Record (EMR) systems within hospitals all over the world. Hospitals that reach Stage 6 (Stage 7 being the highest) have established clear goals for improving safety, minimising errors, and recognising the importance of healthcare IT.

This accreditation, which is the only international standard that recognises the effective use of technology in delivering high quality patient care, was validated following an onsite visit by Healthcare Information and Management Systems Society (HIMSS).

HIMSS inspectors visited CUH to assess the use and adoption of its new Epic electronic patient record (EPR) system, which went live on 26 October 2014 across both of its hospitals - Addenbrooke's and the Rosie. As part of the day-long assessment, inspectors spent time with clinical and administrative staff working in paediatrics, pharmacy, radiology, ICU, the emergency department and medical records, observing the delivery of high quality patient care with the use of a fully integrated EPR.

Effective use of the EPR system was showcased including the delivery of closed loop medication to auto identify the nurse, the patient and the medication; increased patient safety and medication error awareness; and many processes now being paperless due to the implementation of the system.

John Rayner, Director of Professional Development at HIMSS Europe, added: "The distance that the Trust has travelled in such a short period of time really stood out during the site visit. To be awarded a Stage 6 validation in less than 12 months of being live with the new system is quite commendable and a real credit to all concerned. We look forward to working with the trust in the future and will observe their progress with considerable interest."

About HIMSS Analytics in Europe
HIMSS Analytics in Europe provides healthcare organisations, governments and industry with extensive data resources and services about the adoption and use of healthcare IT in Europe. HIMSS Analytics' offerings include database and advisory solutions which encompass market research, IT adoption benchmarking, IT Maturity Models for topics like Electronic Medical Records or Continuity of Care. These offerings are designed to support Management and CIOs, IT Executives and Clinicians from across Europe to compare and measure their progress.

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...