Healthcare Perspectives

Healthcare systems around the world are under increasing pressure to reduce their environmental footprint without compromising access to care, quality, or patient safety.
One often overlooked opportunity is the refurbishment of imaging systems. By giving imaging systems a second life, healthcare providers can help preserve resources while continuing to deliver clinical performance.

In this episode, host Julia Andes, Head of Lifecycle Products at Siemens Healthineers, is joined by MUDr. Diana Scheel MHBA, cardiac imaging specialist and member of the German Radiological Society; as well as Prof. PD Dr. Bernhard Scharinger, MSc, EdiR, EBCR, board-certified radiologist and running his own private practice.

What you’ll learn:
• Why healthcare has a significant environmental footprint and why procurement decisions matter
• How refurbished imaging systems can reduce resource consumption and emissions
• What motivated radiologist Prof. Dr. Scharinger decide on a refurbished CT system
• Why sustainability and excellent patient care can go hand in hand
• Practical ways healthcare providers can start acting more sustainably

Resources:
Connect with Julia Andes
Connect with Prof. Dr Bernhard Scharinger
Connect with Dr Diana Scheel
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Across the globe, radiology departments are grappling with a paradox: imaging volumes are climbing while the trained workforce needed to operate scanners is shrinking.
Using AI-driven tools, a drive towards fully-automated radiology promises faster diagnoses, greater diagnostic accuracy, and more efficient workflows, improving both the patient and clinician experience. It is rapidly transforming the way medical imaging is performed, analyzed, and integrated into imaging workflows.

The success of this development relies strongly on intuitive and impactful user experience, or UX, design. Effective UX is integral to ensuring that patients and clinicians can use smart healthcare systems in ways that maintain safety and integrity and enhance user experience. The question is no longer whether higher levels of automation will play a role in radiology — it's how quickly, and where to begin.

Today, host Iwona Markuszewska welcomes Dr. Shivakumar Swamy S, Head and Director of the Radiology Department and Clinical Director of the Department of Radiomics and Radiogenomics at HCG Cancer care in Bangalore, India; Dr. Yair Safriel, Co-Founder and Chief Medical Officer at Pharmascan and MEC Chair of Radiology at Morton Plant Hospital Association in Clearwater, Florida; and Ralf Bauer, radiologist and partner at RNS joint practice in Wiesbaden, Germany, to examine the future of automation in radiology.

What you’ll learn in this episode:
Rising imaging demand, an aging population, and lack of trained technologists have pushed the radiology system to its breaking point
How higher levels of automation can ease this challenge and which types of exams may be the easiest entry point to introducing higher levels of automation in imaging operations
Automation starts way before image acquisition and can be implemented easily as early as in the patient check-in process
Patient trust and ease of use are of utmost importance for any automation in radiology is to be widely implemented
Automation will make it easier for healthcare professionals to spend more time with patients and with more complex, time-intensive cases

Connect with Iwona Markuszewska
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Dr. Shivakumar Swamy S
LinkedIn

Dr. Yair Safriel
LinkedIn

Dr. Ralf Bauer
LinkedIn
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Medical imaging is already an integral part of modern healthcare, but as hospitals face growing imaging demand and staffing challenges, new solutions using artificial intelligence have become an effective way to help ease the load.

On today’s episode of Siemens Healthcare Perspectives, you’ll hear a panel conversation discussing AI’s increasing role in radiology, recorded live at the Radiological Society of North America’s 2025 meeting. Held in Chicago, the conference is the world's largest scientific and educational meeting for the radiologic sciences.

For this discussion, host Katharina Schmidler is joined by Dr. John McMenamy, an Associate Professor of Radiology at the University of Colorado and Associate Radiology Chair at Denver Health; Kelly McFarland, WakeMed’s Executive Director of Imaging Services; and Dustin Allen, CT Scan Supervisor at WakeMed.

Together, these industry leaders explore what intelligent imaging looks like in action as well as its potential to enhance quality, accelerate diagnosis, reduce burnout, and improve overall patient care.

What you’ll learn in this episode:
How AI is transforming radiology by improving workflow efficiency
Automation allows more focus on patient care
Real-time feedback between technologists and radiologists enhances image quality
AI tools can help identify subtle findings that may be overlooked
Training programs are essential for developing the next generation of technologists
Collaboration between health systems can enhance the benefits of AI
The vital role technologists play in patient care

Connect with Katharina Schmidler
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Connect with John McMenamy
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Connect with Kelly McFarland
LinkedIn

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Access to quality healthcare is still out of reach for millions worldwide — particularly in low- and middle-income countries and underserved rural areas. One of the biggest drivers of this gap is a shortage of trained healthcare workers, a challenge made worse by workforce migration, limited local training opportunities, and uneven distribution of resources.

In this episode of Healthcare Perspectives, host Hagen Weissapfel, Director of Education and Customer Services for Global Access to Care at Siemens Healthineers, is joined by Melissa Culp, Executive Vice President of Member Engagement at the American Society of Radiologic Technologists (ASRT), and Dr. Geoff Ibbotson, surgeon and Executive Director of the Global Surgery Foundation (GSF). Together, they explore how education and training — scaled through digital innovation and local partnerships — can transform access to care for underserved communities.

From stories of practicing in isolation in remote Nepal, to advancing imaging education in Malawi, to building global learning platforms like SURGHub, Melissa and Geoff share how sustainable, in-country solutions can empower healthcare professionals, break down systemic barriers, and save lives.

What you’ll learn in this episode:
Why education is one of the most sustainable forms of impact in global health
How digital learning platforms like SURGHub are connecting providers in over 200 countries
The role of local leadership and trust in building effective training programs
How public awareness campaigns can inspire the next generation of medical imaging professionals
The life-or-death consequences of gaps in surgical technology access — and how training can close them
Why small, targeted investments can yield measurable improvements in health outcomes

Connect with Hagen Weissapfel
LinkedIn

Connect with Melissa Culp
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Connect with Geoff Ibbotson
LinkedIn
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Is it possible for artificial intelligence to make healthcare more environmentally sustainable?
In the field of radiology, AI may prove to be transformative. It has the potential to streamline processes, cut costs, and increase accuracy in imaging, diagnostics, and prevention.

When we talk about sustainability, we often think of carbon emissions or climate change. But environmental sustainability means something much broader in healthcare: it’s about how we can preserve resources, whether cost, energy, human capital, and reduce waste and pollution, all while improving health outcomes for everyone, everywhere.

Today, host Vibhas Deshpande, Head of Sustainability Innovation and Research, Americas at Siemens Healthineers, welcomes Dr. Kate Hanneman, cardiac radiologist at the University of Toronto; Dr. Charles Goh, Chief Medical Informatics Officer at Singapore General Hospital; and Tobias Heimann, head of the Department of Artificial Intelligence Germany at Siemens Healthineers, to explore how the rise of artificial intelligence is reshaping the conversation around sustainability in healthcare.
Together, they’re helping define what “responsible AI” really means—and what steps healthcare leaders can take now to ensure that AI benefits patients, clinicians and health systems and preserves global resources.

What you’ll learn in this episode:
Why eliminating data redundancy and using foundational models are keys to keeping AI development sustainable
AI is used to shorten imaging exams while still maintaining a high image quality, which contributes to energy savings
AI can help to arrive at correct diagnosis by improving clinical decision making and alignment to best practice to minimize waste in health systems
Sustainability is more than a metric of emissions or kilowatts—it’s also about how we invest intellectual and clinical capital, such as freeing clinicians to do what humans can do best: connect, interpret, and care.

Connect with Vibhas Deshpande
LinkedIn

Connect with Kate Hanneman
LinkedIn

Connect with Charles Goh
LinkedIn

Connect with Tobias Heimann
LinkedIn
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