• Opportunities in Digital Transformation

    The COVID-19 pandemic accelerated the digital transformation of health systems, prompting a shift in focus towards improving patient experiences and innovative forms of care delivery. Healthcare leaders are responsible for delivering improved, more effective care, but they face challenges in navigating the complexities of digitalisation. In this context,...

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  • How Role Play Advances Innovation/Digital Transformation Adoption

    Digital transformation in healthcare is inevitable, accelerated by the COVID-19 pandemic. Implementing digital healthcare innovations requires stakeholder collaboration but faces challenges due to differing agendas and perspectives. Role-play simulation games provide a safe learning environment to enhance stakeholder engagement skills. HALIGN, a...

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  • Unveiling Tomorrow: IT’s Pioneering Role in Revitalising Healthcare

    The integration of Information Technology (IT) in the healthcare sector is a beacon of transformation amidst modern challenges. This article illuminates the role of Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and low-code solutions in healthcare. By exploring real-world examples and statistics, we shed light...

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  • Towards the European Electronic Health Record Exchange Format

    XpanDH Project Support and Risks of a Delayed Regulation on the EHDS   This paper presents the journey towards the European Electronic Health Record Exchange Format (EEHRxF) as a process of standardisation as social actors in Europe accept how necessary it is for digital health interoperability to be a reality to reap the benefits of digital...

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  • In the Age of CO-ERA: How Essential is the Human Role in the New AI World?

    In a world where AI and robotics are reshaping the landscape of healthcare, the need for close collaboration and sharing among healthcare providers, medical device companies, tech startups, patients, payers, and regulatory bodies becomes paramount. By adopting a co-era healthcare approach, where collaboration and collective effort drive innovation,...

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  • Digital Transformation in Healthcare Procurement

    The article explores the potential of AI coupled with digital innovation as it pertains to future healthcare procurement. The importance of interoperability and qualification for the Virtual Company Dossier, and the potential benefits of cross-border procurement and digital platforms are discussed in detail. The article also highlights the need...

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  • Revolutionising Medicine: The Power of Digital Algorithms in Healthcare

    Medical digital algorithms are computer programs that use complex mathematical equations to analyse data and make predictions about medical conditions. These algorithms have the potential to revolutionise healthcare by improving accuracy, reducing costs, and providing personalised treatment plans. Despite their potential benefits to...

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  • Internet of Medical Things: Threats and Recommendations

    Internet of Medical Things (IoMT) aims to deliver game-changing benefits to  healthcare institutions, patients and society. It supports more accurate diagnoses,   improved treatments, and better availability of care. IoMT systems face challenges,  such as the security of all the interconnected components. This article aims to present a few...

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  • Connected Patients/Informed Clinicians: It’s All About Data, Analytics and Technology

    Patients and their families today are expecting more transparency and involvement in their care than ever before. They want to engage with their health, to access their medical records, and to be informed about clinical decisions and options. Clinicians and administrators also have heightened expectations about the data, analytical tools and technology...

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  • DICOM Metadata - A Useful Resource for Big Data Analytics

    This article provides an overview of new ways to represent data combining patient access and DICOM information, advanced use of medical imaging metadata, analysis of radiation dose and image segmentation and deep learning for feature engineering to enrich data. Introduction Data is the world’s  most valuable resource  and it is possible...

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