FDB Response to Public Health England Prescribed Medicines Review - Technology Role

First DatabankCommenting on findings and recommendations from Public Health England's review into dependence and withdrawal associated with some prescribed medicines, Darren Nichols, UK managing director, FDB (First Databank), said:

"This extensive review by Public Health England underlines the challenges particularly within the primary care system to ensure that clinical guidance is effectively adhered to, with regular reviews with patients, and that prescribing is made safer.

"Its recommendation on greater prescribing transparency and accountability through increasing the availability and use of prescribing data for medicines that can cause dependence or withdrawal highlights the crucial role that technology can play in supporting GPs and other members of the primary care multi-disciplinary team.

"Although not heavily featured in the review, technology is having a big impact on primary care prescribing. Today we are working with more than 4,000 GP practices, with a patient population of 35 million, across two thirds of England’s clinical commissioning groups (CCGs) who are making significant strides in changing prescribing practice, by drawing on technology at the point of prescribing. This enables clinicians to be alerted when a prescribing decision might not comply with clinical best practice or when it might not be most appropriate for the individual patient. This has already seen thousands of GPs choose alternative medications for their patients millions of times.

"Technology like this will continue to be an essential support for GPs, and to CCGs, in helping to distil current and improved guidance around medicines examined in Public Health England’s report, and in adhering to it when appropriate. This can help to ensure greater compliance with guidance, whilst ensuring professionals remain in control of informed prescribing decisions.

"Similar technologies may also now be needed for practice pharmacists and other members of the multi-disciplinary care environment, to take an active role in identifying patient cohorts and proactively reviewing their medication."

About FDB

FDB (First Databank), part of the Hearst Health network, is the leading provider of drug knowledge that helps healthcare professionals make precise decisions. With thousands of customers worldwide, FDB enables our information system developer partners to deliver valuable, useful, and differentiated solutions. We offer four decades of experience in transforming medical knowledge into actionable, targeted, and effective solutions that help improve patient safety, operational efficiency, and healthcare outcomes.

Most Popular Now

AI System Helps Doctors Identify Patient…

A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts...

Smartphone App can Help Reduce Opioid Us…

Patients with opioid use disorder can reduce their days of opioid use and stay in treatment longer when using a smartphone app as supportive therapy in combination with medication, a...

AI's New Move: Transforming Skin Ca…

Pioneering research has unveiled a powerful new tool in the fight against skin cancer, combining cutting-edge artificial intelligence (AI) with deep learning to enhance the precision of skin lesion classification...

Leveraging AI to Assist Clinicians with …

Physical examinations are important diagnostic tools that can reveal critical insights into a patient's health, but complex conditions may be overlooked if a clinician lacks specialized training in that area...

AI can Improve Ovarian Cancer Diagnoses

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is...

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...

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...