HealthManagement, Volume 22 - Issue 3, 2022

AI: Opportunities, Capabilities and Limits

There is no doubt that Artificial Intelligence (AI) can transform how we deliver care. It can increase clinician productivity and improve efficiency and enable existing healthcare systems to provide care to more people than before. AI can also improve data analysis and utilisation, facilitate better decision-making and promote early diagnosis and treatment. In addition, the application of AI in healthcare...

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Hospitals-on-FHIR: Preparing Hospitals for European Health Data Space

Hospitals and other healthcare organisations are where health data is predominantly created. If the European Health Data Space (EHDS) is to become a reality for citizens, both via supporting primary use as well as secondary use of health data, data located in these organisations needs to be able to be shared. Experts, industry, and EU-funded projects are converging on the HL7 FHIR as a route to interoperabl...

Artificial Intelligence and Echocardiography: Are We Ready for Automation?

Artificial intelligence has many potential applications in the field of cardiac imaging and echocardiography is not an exception. There are clear examples in different aspects like cardiac chamber quantification, assistance on the interpretation of stress echocardiography or the evaluation of valvular heart disease. We need to be prepared for automation in echocardiography as well as in other fields of card...

AI in Radiology: Realities, Challenges and Perspectives from a Tertiary Cardiac Centre in Greece

An overview of the digitalisation at Onassis Cardiac Surgery Center in Greece and the application of artificial intelligence (AI) to take advantage of the current realistic opportunities along with future perspectives offered by modern technology. The use of AI in radiology has led to innovative applications throughout the entire radiology pipeline, from improved scanner performance to automatic disease de...

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Point-of-View - Enterprise Imaging

Artificial Intelligence – Impact, Challenges and Opportunities

Dr Anjum Ahmed is the Chief Medical Officer at Agfa HealthCare. He has played an essential role in steering the company’s innovation strategy for Enterprise Imaging and Artificial Intelligence. Dr Ahmed has over 23 years of global experience in solutions innovation, governance, change management and digital transformation. Before joining Agfa HealthCare, he spent 12 years implementing clinical and imaging...

Learning From Each Other: An Artificial Intelligence Perspective in Healthcare

An overview of how exchange of knowledge can advance Artificial Intelligence (AI) in healthcare with total data privacy. Artificial Intelligence is playing an important role in taking better decisions across multiple sectors and the healthcare sector is not an exception.Rule of thumb: The larger the datasets the better the accuracy of machine learning methods.Healthcare data sharing is difficult because o...

The Current State of AI in Diagnostic Imaging and How to Improve its Clinical Value

More well-curated data, external validation of algorithms, and user-friendly workflow integration will help translate the potential of AI into clinical routine. Representative data sets and external validation are key issues for AI algorithms to become more accurate and generalisable.Machine learning is not only used for automation; it will also help expand the vocabulary of patterns that lead to treatment...

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Artificial Intelligence and Radiomics at the University of Florence

This paper provides an overview of current research at the Department of Radiology of the University of Florence. It concerns radiomics along with Artificial Intelligence (AI) applied to various medical fields. The need for personalised medicine and the transition from qualitative to quantitative imaging are at the heart of the projects described in this text. The purpose of this paper is to extend the coll...

Point-of-View - Intelligent Imaging

Integrated Cancer Care and Intelligent Imaging

Early diagnosis of cancer can lead to better patient care and better outcomes. In particular, the use of intelligent imaging technology along the patient’s journey, from screening to diagnosis to treatment, monitoring and follow-up, is essential. HealthManagement.org spoke to Dr Ben Newton, General Manager, Oncology at GE Healthcare, to discuss his views on integrated cancer care, the optimum use of imagi...

The Knowledge Model and Enabling Artificial Intelligence

The purpose of this paper is to provide a growth path to AI development. It is based on principles learned from launching CT, MRI, Neuro Vascular, and PACS. Create a model (The Knowledge Model) that will build with additional concepts as they develop, resulting in synergistic thinking (Causal Knowledge by Judea Pearl – one of the Fathers of Artificial Intelligence).Select a leading factor (Intuition) t...

Network Modernisation: The Key to the Future of Healthcare

In the post-COVID era, network modernisation will be key for healthcare organisations as they continue to introduce Internet of Things devices to their operations- in fact, it must underpin every institution’s roadmap towards digital transformation. Outdated networks can act as roadblocks and trying to adapt them to modern demand can be more trouble than it’s worth.Technology can help simplify workflow...

Digital Twin Technologies - Shortening Waiting Lists and Reducing Inefficiencies

Digital twin technologies and the use of artificial intelligence and data science to revolutionise the provision, delivery and sustainability of healthcare. The NHS needs to look to different approaches to achieve sustainable, high-quality healthcare that meets both patient need and expectations.Using a combination of retrospective, real-time and prospective analytics in day-to-day decision making is the k...

Point-of-View -AI: Opportunities, Capabilities and Limits

"One Ring to Rule Them All" in AI – Affidea’s Experience

An overview of Affidea’s experience on the road to AI implementation and the need to understand the complexity of integrating multiple AI solutions safely, offering clear benefits to patients and radiologists. Artificial Intelligence in Healthcare Artificial Intelligence (AI) in radiology is growing at a fast pace. A 2020 study from the American College of Radiology on radiologist uptake of AI shows th...

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Integrating Decision Support and Artificial Intelligence in Radiology

Prof Elmar Kotter is the Vice-Chair and Director of Imaging Informatics & Quality and Risk Management at the Department of Radiology of Freiburg University Medical Center, Germany. He is also Chair of the eHealth and Informatics Subcommittee of the European Society of Radiology (ESR) and President of the European Society of Medical Imaging Informatics (EuSoMII). Prof Kotter is dedicated to patients, co-...

Point-of-View - Decision Support

Teamplay Digital Health Platform for Performance Management in Radiology

An overview of teamplay applications for performance management in radiology and how they offer a clear overview of performance data and facilitate radiology directors or clinical administrators to make fast and well-informed decisions. The teamplay digital health platform enables digital transformation by facilitating easy access to solutions for operational, clinical and shared decision support.The tea...

Clinical Decision Support – Benefits and Application in Healthcare

†Werner Leodolter was the CIO of KAGes. He was a Professor of Applied Business Management in Healthcare at the University of Graz and a lecturer at the Medical University of Graz and Graz University of Technology. Prof Leodolter was also the author of two books, “The Subconscious of Organizations - New Technologies - Rethinking Organizations” and “Digital Transformation Shaping the Subconscious Mind...

How Digitisation is Transforming the MedTech Talent Landscape

An overview of the process of digitisation in the medical device industry and important questions that organisations should ask to best prepare for the digital disruption ahead. Digitisation is in full swing for the medical device industry and will continue to disrupt the sector throughout the 2020s.This has created a need for board directors and leadership teams that are equipped to tackle not just the new...

Point-of-View - AI: Opportunities, Capabilities and Limits

Application of Artificial Intelligence in Healthcare

Artificial Intelligence is believed to lead the process of digitalisation and transformation in healthcare. How can healthcare organisations prepare for this change? What opportunities does AI offer for the healthcare sector? Which AI-based radiology tools are expected to make a difference? HealthManagement.org spoke to Sourabh Pagaria, Executive Vice President & Managing Director of the Southern Europe...

What Can the NHS Learn from Public Sector Supply Chain Attacks?

As organisations become increasingly connected through technology, there is a rising threat of becoming collateral in cyberattacks. It is imperative to evaluate the security practices and stances taken within any third-party organisation involved.The NHS plans to launch 42 Integrated Care Systems (ICS) across England this year.The goal will be to share resources, drive efficiency and improve healthcare pro...

Point-of-View - AI: Opportunities, Capabilities and Limits

Telemedicine Care Combined with AI: Capabilities and Benefits

An overview of the application of AI (artificial intelligence)-enabled systems in telemedicine and the Comarch healthcare strategy to develop building blocks of this new care system. The management of chronic disease and geriatric disorders is one of the biggest challenges for healthcare systems.Telemedicine solutions bring innovative answers to the needs of healthcare providers.AI (artificial intelligence)...

Point-of-View - Innovation and Technology in Healthcare

Innovative Technologies Will Address Health System Challenges

Innovation is the fuel for any improvement in society because technology always pushes back limitations. Thales envisions to build on its advanced expertise to meet the healthcare challenges of tomorrow. Bringing performant secure healthcare access to anyone, anywhere, will overcome critical medical issues. After the pandemic revealed the weakness of global health systems, our societies have seen public h...