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Over the last few years pharmacy and the role of pharmacy teams has changed dramatically. The introduction of technology and the integration of artificial intelligence (AI) within systems that provide healthcare and support to pharmacies holds great promise; for improving access to health, supporting patient outcomes, and optimising operational efficiency. Currently, the potential use of AI could span the whole of the medicines value chain, from AI-driven drug discovery to personalised medicines and automated dispensing systems. However, the rapid advancement of AI technology does raise several ethical concerns. This article will explore these concerns and how they can be addressed. In previous articles, I have discussed what underpins artificially intelligent machines and the importance of data. Datasets are the foundation on which AI algorithms learn and generate conclusions. The first step to understanding the potential ethical implications of AI across the pharmacy sector is to understand the data that is held within these foundational datasets. Patient privacy and data security AI systems in and outside of the pharmacy sector, which support patient care, rely heavily on vast amounts of medical data (patient medical records, PMR data, etc). However, the collection, storage, and use of such sensitive data can possibly bring significant privacy concerns. GDPR compliance is essential within the UK and ethical questions arise around data ownership, patient consent, and the possibility of data and cybersecurity breaches. As frontline healthcare professionals, we need to be able to support our patients when questions are asked about their data. For example, how can patients be sure their data is used only for its intended purposes? Is anonymised data truly safe from de-identification techniques that could expose private information?

In a recent announcement the Medicines and Healthcare products Regulatory Agency (MHRA) unveiled its strategic approach to artificial intelligence (AI), as it sets out to embrace the transformative potential of AI in healthcare regulation. Building upon the Government's white paper 'A pro-innovation approach to AI regulation', released in 2023, the MHRA outlined five key strategic principles guiding its adoption of AI. These principles encompass safety, security, and robustness; appropriate transparency and explainability; fairness, accountability, and governance; and contestability and redress. A science-led organization, the MHRA was tasked with providing an independent view of its approach to AI in medicine and science, aligning with a government white paper. Recognising its role in UK's goal to be a science and tech leader by 2030, MHRA is tasked to evaluate AI's opportunities and risks across regulatory, public service, and evidence-based decision-making area.

The UK Government is investing £100 million to accelerate the use of AI in life sciences and healthcare under a new mission. UK Prime Minister Rishi Sunak announced the AI Life Sciences Accelerator Mission in his speech last week. The new initiative will capitalise on the UK's unique strengths in securing "health data and cutting-edge AI." It will also help to identify those at risk of "dementia" and will ensure that patients participate in the trials at the right time to develop new treatments effectively. Henceforth, it will provide us with better data on how well new therapies work. Sunak said: "AI can help us solve some of the greatest social challenges of our time. AI could help find novel dementia treatments or develop vaccines for cancer."

The World Health Organization called for caution on Tuesday (May 16) in using artificial intelligence for public healthcare, saying data used by AI to reach decisions could be biased or misused. The WHO said it was enthusiastic about the potential of AI but had concerns over how it will be used to improve access to health information, as a decision-support tool and to improve diagnostic care. The WHO said in a statement the data used to train AI may be biased and generate misleading or inaccurate information and the models can be misused to generate disinformation. It was "imperative" to assess the risks of using generated large language model tools (LLMs), like ChatGPT, to protect and promote human wellbeing and protect public health, the U.N. health body said.

The Department of Health and Social Care (DHSC) made a recent announcement that the Incubator for Artificial Intelligence (i.AI) and NHS England (NHSE) have joined forces in a groundbreaking move by signing a Collaboration Charter on AI. This pivotal partnership aims to equip the NHS workforce with the tools and resources to leverage AI technology for enhancing patient care, improving staff experience, and driving operational efficiency. The Charter, endorsed by Minister Burghart, Parliamentary Secretary for the Cabinet Office, and Lord Markham, Parliamentary Under Secretary of State at the DHSC, signifies an important step towards integrating AI into the fabric of the NHS. Under this collaboration, the i.AI team, comprising elite technical experts within the government, will identify opportunities where AI technology can be deployed responsibly to support the NHS. This initiative is expected to streamline processes, optimize resource allocation, and ultimately enhance patient outcomes.

The Royal Pharmaceutical Society (RPS) has published a new policy outlining how artificial intelligence (AI) can be used to support pharmacy practice and improve patient care. The content has been developed in consultation with RPS members, Expert Advisory Group members, Board members, multi-professional experts in digital technology and AI, and external stakeholders including the General Pharmaceutical Council (GPhC). The policy highlights the opportunities, challenges and potential applications of AI within pharmacy now and in the future. RPS President, Professor Claire Anderson, acknowledges that AI technologies have the potential to transform pharmacy practice, noting that "there are some great examples where it's already in use." "We must optimise the opportunities that these advancing technologies can bring to enhance patient access to care, improve patient experience, support clinical decision making and improve the safety and efficiency of the medicines supply chain. "Our policy provides a framework to ensure AI is harnessed safely and effectively to support pharmacists and patients," she adds.

Healthcare technology consulting helps healthcare organizations with digital transformation. It guides hospitals, clinics, and providers in using the right technologies. This leads to better efficiency and improved patient care. A key focus is EHR integration, AI automation, cloud infrastructure, and regulatory compliance. These solutions simplify clinical workflows, enhance data security, and ensure interoperability. Consulting also covers IoMT, NLP applications, and smart workflow automation. This helps organizations use advanced analytics to make better decisions. A strong consulting strategy links technology to healthcare needs. It enhances operations, boosts cybersecurity, and ensures compliance with regulations. A good plan helps healthcare organizations work better, improve patient outcomes, and grow.

Healthcare technology consulting optimizes EHR, AI, and cloud integration, enhancing efficiency, security, compliance, and patient care while reducing costs.

AI in medical devices enhances clinical technology by enabling real-time signal analysis and timely responses. These devices assist care teams to improve outcomes and adapt as healthcare evolves. This blog will present an overview, key applications, challenges, and future trends, and how this technology is revolutionizing the healthcare sector.

AI in medical devices enhances diagnostics, therapy, and monitoring. Discover the impact of AI solutions for healthcare in medical device software.

In recent years, the healthcare sector has seen a significant transformation driven by the rapid advancement of technology. From improved patient care to streamlined administrative processes, technology has become an indispensable part of modern healthcare. As medical facilities worldwide embrace these innovations, it's essential to understand why the sector leans so heavily on advanced technological solutions. Below are seven key reasons illustrating the crucial role of technology in healthcare. Enhanced Radiology Workflows Advancements in technology have revolutionized radiology workflows, making the process more efficient and accurate. Digital imaging technologies, such as PACS (Picture Archiving and Communication Systems) and RIS (Radiology Information Systems), allow for the seamless storage, retrieval, and sharing of medical images. The specialists AbbaDox say that this reduces the time needed to diagnose and treat patients, significantly improving the overall efficiency of radiology departments. Additionally, AI-powered tools can assist radiologists by highlighting potential areas of concern within images, ensuring that abnormalities are not overlooked. These improvements contribute to faster, more accurate diagnoses and better patient outcomes.

At the Future of Britain Conference 2024, the newly appointed Secretary of Health and Social Care, (DHSC) Wes Streeting, stated that "Labour's DNA is in the NHS". He also called for a long-term approach to reform the broken health sector and the integration of artificial intelligence (AI) to steer the healthcare system towards sustainability and growth. Hosted by Tony Blair Institute for Global Change and My Life My Say today, Tuesday, 9, Streeting discussed the plans to fix the healthcare system and role of Artificial Intelligence (AI) in "making the right choices" by bringing in three essential shifts in the healthcare. Criticising the previous Conservative administration for leaving "massive burning deck issues" due to constant reshuffling within the Department of Health and Social Care (DHSC), Streeting lamented that this "instability" and "indecisions" have made comprehensive reform even more pressing. Drawing inspiration from Chancellor Rachel Reeves' speech on economic growth, Streeting stressed the interconnectedness of health and economic prosperity.

Artificial intelligence (AI) in healthcare is the use of algorithms and software. its applications in healthcare and even its definition.

Artificial Intelligence, AI, AI in HealthCare, Artificial Intelligence In Healthcare, Insights Care, Best HealthCare Magazine

Medical imaging solutions are essential for making accurate and quick diagnoses. This is central to quality healthcare. Imaging technology has progressed from X-rays to advanced AI-based imaging. These have the ability to diagnose diseases at an earlier stage and with better accuracy. These technologies improve diagnosis now and shape future patient care. Modern technologies, like MRI and CT scans, help doctors work faster. Real-time 3D imaging and predictive analytics give them better information. This helps in making informed decisions. In this blog, we will look at how these technologies are changing diagnostics. They enhance treatment results and what we can do in healthcare.

Medical imaging solutions are essential for making accurate and quick diagnoses. This is central to quality healthcare. Imaging technology has progressed from X-rays to advanced AI-based imaging. These have the ability to diagnose diseases at an earlier stage and with better accuracy. These technologies improve diagnosis now and shape future patient care. Modern technologies, like MRI and CT scans, help doctors work faster. Real-time 3D imaging and predictive analytics give them better information. This helps in making informed decisions. In this blog, we will look at how these technologies are changing diagnostics. They enhance treatment results and what we can do in healthcare.

Wes Streeting's speech at the Labour Party Conference 2024 outlines several key health and social care reforms, which hold significant implications for community pharmacy in England. His focus on reforming and rebuilding the NHS to ensure fair, universal access to care, with prevention and early intervention at its core, presents both opportunities and challenges for community pharmacy. Here are the potential implications: 1. Prevention Focus Streeting's vision of a shift from a reactive, hospital-based model to a preventive healthcare system presents a promising future for community pharmacies. These changes could significantly reduce pressures on GPs and hospitals, integrating pharmacies more closely into primary care networks and enhancing their role in preventive care. 2. Digital Transformation The move from an "analogue to digital" NHS could see community pharmacies adopting more digital tools and systems for service delivery. This would likely involve greater use of digital prescribing, telehealth consultations, and AI-driven services. Pharmacies will need to invest in digital infrastructure and ensure that pharmacy professionals are trained to operate within a more tech-centric environment. 3. Reform and Redistribution of Services Streeting's plans to extend choice and equitable access to services mean that community pharmacies could become integral to providing care in underserved or disadvantaged areas. With a focus on decentralising healthcare and bringing it closer to local communities, community pharmacies could play a more significant role in supporting healthcare delivery in areas where GP services are stretched. This may include expanding access to pharmacy services in the most deprived areas, aligning with Labour's emphasis on addressing health inequalities.

Artificial Intelligence as a Service (AIaaS) is emerging along with other models of cloud computing such as SaaS, PaaS, IaaS, and FaaS. AIaaS helps healthcare providers and startups access AI tools. They can do this without spending money on expensive infrastructure. AIaaS is an emerging but important service model in healthcare, enabling advanced diagnostics, process automation, and improved patient care.

Check out how Epic Showroom is at the forefront of healthcare innovation in 2025, providing a centralized hub for AI-driven tools and interoperable solutions.

Check out how Epic Showroom is at the forefront of healthcare innovation in 2025, providing a centralized hub for AI-driven tools and interoperable solutions.

The healthcare landscape has dramatically changed over the years, due to a number of factors, firstly having to navigate Covid-19 and now the advancement of artificial intelligence (AI) and machine technology, to name a few. As a result, training the next generation of healthcare leaders is more important now than ever. Let's look at three ways to effectively train the next generation of pharmacists: Robust Induction Programme Induction programs are an effective way of training the next generation of pharmacists as they have the ability to provide knowledge, skills and practical experience to deal with and manage common challenges they're likely to experience in their careers. These programs usually include training in pharmacokinetics, drug dosages, medication administration, and pharmacotherapy.

The Company Chemists' Association (CCA) has voiced strong support for a recent report from the Tony Blair Institute (TBI), which advocates for the establishment of a 'Digital Health Record' (DHR) for every individual in the UK. The CCA, which was interviewed as part of the report's development, believes that the creation of a DHR could significantly enhance the NHS's efficiency, improve preventative healthcare, and help the health service harness the full potential of artificial intelligence (AI). The TBI report highlights that the current health and care system suffers from fragmented data, with individual records scattered across various providers, including community pharmacies. This siloed approach often hampers the delivery of seamless and effective care. A unified DHR, the report argues, would consolidate all relevant health data into a single, accessible record, ensuring that patients receive timely and appropriate care across the entire healthcare system.

Medical device software development is key to improving patient care. It allows healthcare professionals to provide more accurate and efficient treatments. Next-gen software in medical devices is transforming diagnoses and therapeutics, boosting monitoring tools that enhance efficiency and patient outcomes. This software uses AI and ML to improve diagnostics, treatments, and patient monitoring. It helps healthcare organizations deliver better care while meeting regulations.