Study Highlights Tragedy of Avoidable Adverse Drug Reactions

First DataBankFollowing the publication of a study into the frequency of Adverse Drug Reactions, First DataBank has spoken out at the tragedy of these avoidable and sometimes fatal errors. The study by PLos One entitled "Adverse Drug Reactions in Hospital In - Patients: A Prospective Analysis of 3695 Patient-Episodes" was covered this week by the BBC and highlighted that "one in seven hospital patients experience adverse drug reactions, half of which are completely avoidable". The study identifies electronic prescribing as one of the possible intervention strategies in the reduction of adverse drug reactions.

David Flavell, President at First DataBank International comments, "The real tragedy of this study is that injury and death caused by adverse drug reactions, doesn't have to happen. There are electronic prescribing systems (with integrated clinical decision support) available which are able to prevent medication errors. Such systems are demonstrating real benefits in the hospitals where they have already been introduced."

"These systems support clinicians in their decision making by flagging up potential adverse drug reactions. At the point that a clinician prescribes a medication to a patient, the clinical decision support checks the medication against information held in the patient's Electronic Health Record and generates an on-screen alert message if there are potential clinical problems."

Mr Flavell concludes, "Paper-based systems are no longer an acceptable means of recording and cross checking patient records against potential interactions. We strongly urge more hospitals to consider transferring from paper-based systems, which can be subject to error, to reduce the risk of adverse drug reactions and improve patient safety."

Related news articles:

About First DataBank Europe
First DataBank Europe (FDBE) is the UK's leading provider of drug knowledge bases and active clinical decision support. With over 25 years' experience of maintaining, developing and integrating drug knowledge bases across the entire healthcare spectrum, FDBE has unrivalled expertise and knowledge in this specialist field. NHS Connecting for Health has chosen FDBE to provide drug-related clinical decision support.

Patient safety is the driving force behind our business. Through the effective integration of our products into clinical systems, we enable safer prescribing, dispensing and administration.

Our Multilex Drug Data File - the UK's most comprehensive and widely used drug knowledge base - is in daily use by thousands of healthcare professionals in the UK.

For further information visit www.firstdatabank.co.uk.

BBC News: Hospital drug reactions 'common'

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)...

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...

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...