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For decades, healthcare has measured success using familiar indicators. ✅ How many patients were treated. ✅ How many surgeries were performed. ✅ How many beds were occupied. ✅ How quickly emergency departments responded. ✅ How many lives were saved. These are all important measures, and they always will be. But perhaps one of the greatest achievements of modern healthcare is missing from the dashboard. The patient who never needed to become an emergency. Imagine a patient wit

The best care doesn't start at reception. It starts long before the appointment—and continues long after the patient leaves. One morning, you wake up with a persistent discomfort in your chest. Before you ever step into a hospital, you've already started your patient journey. You search nearby hospitals. You compare reviews. You check whether your insurance is accepted. You look at available cardiologists. You browse appointment availability. Perhaps you ask a friend for a re

World Health Expo (formerly Arab Health) never missed to amaze me. Thinking from one point, we all know that technology and innovation is at its fastest pace, and we shall expect new developments, new solutions, and also new problems coming out almost on daily basis. Yet, each year I visit WHX, I can't help getting quite surprised how the healthcare industry is catching up with this light-speed tempo, adopting the innovation, enabling it for better care. It was -as always- a

In the previous two editions, I explored how AI can support clinicians directly and how patient-facing AI can extend care beyond clinical walls. But there is another side of the story that receives less attention and yet has enormous impact on hospital performance: operational AI. If clinician-facing AI helps improve decision-making at the point of care, operational AI helps improve how care is delivered, coordinated, financed, and sustained behind the scenes. It influences p

#ConnectedHealthcare is not only about connecting hospitals, clinicians, and data systems. A truly connected healthcare model also extends care beyond the clinical walls, empowering individuals to better understand and manage their own health. In the previous edition, we explored clinician-facing AI—technologies that support physicians in diagnosis, treatment planning, and patient monitoring. But healthcare does not only happen in hospitals or clinics. Most of a person’s heal

In the previous edition, I introduced a functional framework for AI in healthcare and suggested that one of the most practical ways to understand this space is to look at who primarily uses the solution and where it creates value. As outlined, let's start with the most debated category: clinician-facing AI. I believe, this is the category that attracts the most skepticism. Many clinicians worry that AI is being positioned as an alternative to their expertise, or that it will