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Staying a Step Ahead: Wearable Technology for Predictive Medicine

Did you know your smartwatch could know you’re ill before you notice any symptoms? Wearable technology is now evolving from recording the state of...

Digitalization in clinical settings: Opportunities, needs and challenges

Introduction From the early use of computers for basic record-keeping to the advanced application of AI, the digitalization in medicine  has been driven by the...

Digital Healthcare and the Crucial Role of Emotional Intelligence

As artificial intelligence progresses and digital healthcare tools such as telemedicine, biomarkers, and wearable devices become more sophisticated, it remains vital to consider the...

True innovation in life sciences is only possible through a connected, pan-European approach

Many of the biggest life science breakthroughs are the result of European research. The structure of DNA, pasteurisation, the discovery of penicillin, and the...

Digital medicine: technology, data and training, the right mix for increasingly tailor-made care for the patient

With Digital Health we means all those paths technology-enabled therapeutics. It constitutes a bridge between digital technologies and healthcare, it is a real health evolution...

The NHS waiting list crisis and how digital health can help solve it

With the NHS waiting list crisis steadily worsening, digital health solutions can help solve the issue, but they need to be implemented nationally and...

AI will deliver Digital Health

Artificial - made or produced by human beings rather than occurring naturally, especially as a copy of something natural. Intelligence - the ability to acquire and apply...

Embracing Digital Transformation: Challenges and Opportunities of Digitalization in Hospitals

In recent years the healthcare sector has experienced a swift change due to advent of innovative technologies, as well as the ongoing digital transformation....

Enhancing Meeting Effectiveness in Healthcare: Ten Ways for Better Outcomes

The bad news: Healthcare professionals spend thirty hours on average in meetings per month, yet surveys indicate that most professionals view the majority of...

AI, Data, and Social Determinants of Health

As connectivity accelerates around the world, stakeholders in both clinical and public health see numerous opportunities to collect more comprehensive data and leverage AI...

Redefining Healthcare: Kenya’s Leap into Analytics and AI

When I first arrived in Kenya in 2013, I followed the typical traveler's ritual of exchanging cash at the airport, expecting to rely on...

Cause and Effect: Optimizing Treatment Decisions with Predictive Analytics

When machine learning is used to drive clinical and operational decisions by making predictions – for healthcare, marketing, financial risk, and beyond – it’s...

The Intersection of AI and Healthcare: Advancing Patient Care Through Analytics

Introduction In the rapidly evolving world of healthcare, Artificial Intelligence (AI) has emerged as a transformative force. Far from being a speculative fantasy, AI is...

Start-up medrepo analyses collected real-world-data from patients with artificial intelligence

2020. The world stands still and the coronavirus pandemic spreads. An infinite amount of health data is produced, but any collection and analysis is...

Why HR Consultants Should Bring the Science of Quality Management to Healthcare Professionals

Bringing the science of quality management directly to healthcare professionals may be an overlooked solution for career burnout and dissatisfaction. In this article, you’ll...