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AI Saves Clinicians Weeks of Work but Health Systems Struggle to Keep Up, Philips Report Finds

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Healthcare professionals are gaining significant time savings through artificial intelligence tools, but health systems are struggling to adapt quickly enough to the rapid pace of change, according to a new global report.

The findings come from the Future Health Index 2026 report published by health technology company Philips, which examined how AI is being used across hospitals and clinics and its impact on clinical workflows.

The study surveyed more than 2,000 clinicians and over 20,000 patients across 10 countries, including the United Kingdom, United States, Germany, France, China and India. It found that AI adoption among healthcare workers has increased significantly over the past year, with growing confidence in its ability to improve patient care.

More than 80% of healthcare professionals said they are optimistic about AI’s impact on patient outcomes, while around 70% believe the benefits already outweigh the risks. Many clinicians reported that AI is already making a measurable difference in their daily work.

According to the report, 46% of clinicians said they save at least 132 hours per year through AI-enabled tools, equivalent to more than three working weeks. Nurses were among those reporting the greatest time savings, particularly from reduced administrative workloads.

Shez Partovi, Chief Innovation Officer at Philips, said clinicians are increasingly able to redirect that time toward patient care, collaboration and reflection on complex medical cases. He noted improvements in work-life balance, reduced stress and greater efficiency across clinical teams.

Around 71% of respondents said AI has improved workflow efficiency, while half said it has allowed them to see more patients. Approximately the same proportion reported better work-life balance and lower stress levels.

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Common uses of AI include transcribing medical notes, scheduling appointments and assisting with diagnostic tasks such as reviewing X-rays. Some clinicians also described using AI systems as support tools for clinical discussions and decision-making, including identifying potential drug interactions.

The report also found that 39% of clinicians had seen AI help identify or prevent potential medical errors multiple times in recent months, while more than 65% said it had improved their confidence in clinical decisions.

Despite these gains, the report highlights growing pressure on health systems to keep pace with demand for AI tools. Nearly two-thirds of clinicians said they turn to personal AI applications when workplace systems are insufficient, raising concerns about governance and data security.

Seven in 10 respondents said training for AI tools is limited or inconsistent, suggesting organisations are struggling to implement structured adoption programmes. Partovi said this reflects a gap between rapid technological advancement and slower institutional rollout.

He added that hospitals face complex challenges including privacy, safety, regulatory oversight and role-specific training, all of which must be addressed to ensure safe deployment.

Looking ahead, 96% of healthcare professionals expect AI to change their roles, with more than half anticipating major shifts in how they work. However, concerns remain, with 44% worried about losing clinical skills due to over-reliance on AI and 37% saying changes are happening faster than they are comfortable with.

Even so, most clinicians emphasised that human oversight remains essential. Around 86% said AI outputs must always be reviewed by healthcare professionals, while more than 80% said technology will not replace the patient-clinician relationship.

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WHO Warns Unsafe Food Causes Over 1.5 Million Deaths a Year, Children Most at Risk

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Unsafe food continues to pose a major global health threat, causing hundreds of millions of illnesses and more than 1.5 million deaths each year, according to a new warning from the World Health Organization.

The WHO estimates that over 860 million people fall ill annually due to contaminated or improperly handled food, with children under the age of five bearing a disproportionate share of the burden. The findings were released ahead of World Food Safety Day on 7 June and highlight the widespread impact of foodborne disease across all regions.

World Health Organization Director-General Dr Tedros Adhanom Ghebreyesus said food safety is a daily concern affecting families worldwide. He noted that while unsafe food has long been recognised as a public health issue, global data now provides a clearer picture of its scale and economic cost.

The report estimates that foodborne illnesses led to around $310 billion in lost productivity in 2021 alone. Health officials say many of these cases could be prevented through improved sanitation, safer food handling practices such as pasteurisation, and better access to healthcare services for vulnerable populations.

Climate change is also emerging as a growing risk factor. Rising temperatures, extreme weather events and changing rainfall patterns are expected to increase the spread of foodborne pathogens and create new food safety challenges in the years ahead.

Children remain the most affected group. Those under five are three times more likely to suffer foodborne illness compared with older children and adults. In 2021, they accounted for 29 percent of the global health burden linked to unsafe food and 143,000 deaths.

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Although they represent a small share of the global population, young children experience nearly one-third of all foodborne disease cases, particularly diarrhoeal infections that can quickly become life-threatening. The WHO also warned that exposure to chemical contaminants in food can disrupt brain development and cause long-term neurological harm in children.

The burden of unsafe food is also unevenly distributed. Low-income countries in Africa and South-East Asia account for nearly three-quarters of global foodborne illnesses and about 60 percent of deaths, reflecting deep inequalities in food systems, infrastructure and healthcare access.

Foodborne diseases are caused by bacteria, viruses, parasites or chemical substances entering the body through contaminated food. In Europe, common examples include Campylobacter infections linked to undercooked poultry, Salmonella often associated with eggs and raw meat, STEC infections from undercooked foods and unpasteurised products, and Listeriosis, a rare but severe infection with high hospitalisation rates.

Health experts say that strengthening food safety systems and improving global cooperation will be essential to reducing preventable illness and death linked to contaminated food.

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Tech Leaders and Scientists Call for Global Rules on Synthetic DNA Safety as Biosecurity Risks Grow

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Senior executives from leading artificial intelligence and technology firms, including OpenAI, Anthropic, Microsoft AI and Google DeepMind, have joined biotechnology researchers in calling for stricter government oversight of synthetic DNA purchases in the United States. In a joint appeal to Congress, the group urged mandatory safety screening and tracking systems for DNA orders, warning that rapid advances in AI and biotechnology are lowering barriers to misuse.

Synthetic DNA is artificially produced genetic material that can be ordered from commercial suppliers and delivered to laboratories. It is widely used in vaccine development, medical research, drug discovery and industrial biotechnology. However, experts warn that the same technology could also be misused to design harmful pathogens.

The letter emphasised that online access to synthetic DNA has already transformed science by enabling faster research and lowering costs for smaller laboratories. At the same time, it warned that the ability to synthesise genetic sequences raises the theoretical risk that individuals with malicious intent could attempt to recreate dangerous biological agents.

While many DNA synthesis companies currently carry out voluntary customer screening, there is no uniform legal requirement to do so. The signatories are calling for mandatory checks, arguing that consistent screening is one of the most effective and least disruptive ways to reduce biosecurity risks. They also recommend introducing record-keeping systems that would allow suspicious activity to be traced, even when individual orders appear harmless on their own.

Experts involved in the initiative say the urgency is increasing due to advances in artificial intelligence. Modern AI systems are now capable of answering highly complex biological questions and, in some cases, performing at levels comparable to trained virologists. Researchers caution that this could gradually weaken traditional knowledge barriers that have helped limit access to sensitive biological capabilities.

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The concerns extend beyond industry leaders. Earlier this year, scientists from institutions including Johns Hopkins University, the University of Oxford and Stanford University also warned that unrestricted access to certain biological datasets could increase the risk of misuse. They called for safeguards such as data watermarking, user verification systems and audit trails to monitor access to sensitive information.

In Europe, policymakers are also beginning to respond. The European Commission’s proposed EU Biotech Act, introduced in 2025, highlights rising biosecurity concerns linked to the wider availability of biotechnology tools. The draft framework identifies synthetic nucleic acid sequences as high-risk materials and suggests new rules including customer verification and reporting of suspicious orders.

Despite these developments, no comprehensive global standard currently exists for regulating synthetic DNA procurement. Experts argue that fragmented national approaches may leave gaps in oversight, making coordinated international action increasingly important as both AI and biotechnology continue to advance.

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Saudi Arabia and Mayo Clinic Partner to Develop AI Model for Healthcare

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Microsoft and the Mayo Clinic have announced a partnership to develop a new artificial intelligence model tailored specifically for healthcare, combining advanced technology with clinical expertise to improve patient care and support medical professionals.

The initiative brings together Mayo Clinic’s extensive medical knowledge, anonymized patient data and experience in healthcare delivery with Microsoft’s artificial intelligence, cloud computing and engineering capabilities. The organizations said the model is intended to assist with analyzing complex clinical information, supporting earlier diagnoses and helping clinicians create more personalized treatment plans.

The collaboration marks a significant step in the growing use of AI in healthcare, an area that many experts believe has the potential to transform medical services by improving efficiency and expanding access to specialized knowledge.

Dr. Gianrico Farrugia, president and chief executive officer of Mayo Clinic, said the institution has long viewed artificial intelligence as a tool capable of advancing healthcare innovation. He noted that Mayo Clinic launched its data-focused Mayo Clinic Platform seven years ago to create a secure foundation for research and technological development using de-identified patient information.

Farrugia said the new partnership with Microsoft aims to extend Mayo Clinic’s expertise to a broader patient population while accelerating medical innovation.

Under the agreement, the AI model will be owned by Mayo Clinic. Microsoft plans to make the technology available through Azure Foundry application programming interfaces, allowing developers and healthcare organizations to connect the model to their own applications and services.

The organizations said the model is initially being deployed within Mayo Clinic’s clinical environment, where it will undergo testing and refinement through real-world use. Details regarding the scale of deployment, specific medical specialties involved and a timeline for broader availability have not yet been disclosed.

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Healthcare has emerged as one of the most active sectors for AI development, though it presents unique challenges. Medical AI systems must process complex patient information, account for medical histories and meet strict standards for safety, privacy and reliability.

Mustafa Suleyman, chief executive of Microsoft AI, described the collaboration as an important step toward what he called “frontier medical intelligence.” He said Mayo Clinic’s clinical expertise and extensive health data resources make it an ideal partner for developing advanced healthcare-focused AI models.

The announcement comes as the use of AI in health-related decision-making continues to grow among consumers. Surveys have shown increasing numbers of people turning to AI-powered tools for medical information and guidance.

At the same time, regulators and healthcare professionals have emphasized the need for safeguards to address concerns about accuracy, bias, privacy and accountability. Under the European Union’s AI Act, medical AI systems are classified as high-risk technologies and must meet strict requirements, including risk management measures, quality data standards, transparency and human oversight.

The Microsoft-Mayo Clinic partnership reflects the growing effort to balance technological innovation with patient safety as AI becomes more deeply integrated into healthcare systems worldwide.

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