Healthcare Perspectives

Sepsis, originally known as blood poisoning, is a life-threatening medical emergency. Tune in to learn about the complexities of sepsis diagnosis, the role of lactate and procalcitonin levels, and the global health challenge it poses. Hear from experts and a sepsis survivor about the advancements in identifying and managing this critical condition.

Sepsis is the body’s extreme response to an infection. It occurs when a pre-existing infection triggers a chain reaction throughout a person's body. Sepsis can be difficult to diagnose because patients present different symptoms, and their observation can be subjective. According to the Global Sepsis Alliance, the disease contributes to approximately one in five deaths worldwide and in the United States alone; it stands as the leading cause of death in hospitals, leading to one in three hospital fatalities. Compounding these mortality rates is a rise in antibiotic and antimicrobial resistance due to overuse or misuse.

Today, we’re joined by experts in the field of diagnostics and critical care as well as a sepsis patient and advocate in order to more acutely understand the disease, its diagnosis, and the advancements in the field.

In this episode, host Ranga Sampath, Senior Vice President and Head of the Center for Innovation in Diagnostics at Siemens Healthineers and Member of the Board of the Sepsis Alliance, welcomes:

• Heike Spreter-Krick a sepsis survivor who is now a patient advocate working with the Global Sepsis Alliance
• Patti DeJuilio, Director of Respiratory Care and Diagnostic Services at Northwestern Medicine Central DuPage Hospital in Winfield, Illinois
• Dr. Eric Gluck, Director of Critical Care Services at Swedish Hospital and professor of medicine at Finch University of Health Sciences at The Chicago Medical School
• Mervyn Singer, professor of intensive care medicine at University College London

What you’ll learn in this episode:

• The timing of diagnosis and treatment is critical because sepsis creates oxygen deprivation in the cells.
• Risk factors like age and comorbidities can increase the likelihood of a patient developing sepsis.
• The biomarker procalcitonin can be used as an identifier for sepsis infection.
• Lactate levels, a chemical naturally produced by the body during times of stress, can be used as one indicator among others that a patient may be experiencing sepsis.
• In the UK, the National Early Warning Score helps closely monitor patients at risk for developing sepsis.
• IV antibiotics have long been the gold standard for sepsis treatment, but they are at risk of overuse and misuse.
• For many patients, surviving a sepsis infection is just the beginning of a long road to recovery.

Connect with Ranga Sampath

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Connect with Heike Spreter-Krick

• Instagram

Connect with Patti DeJuilio

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Connect with Mervyn Singer

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In medical imaging, there is a constantly growing gap between the need for diagnostic imaging and the availability of specialist staff. At the same time, groundbreaking developments in the field of artificial intelligence continue to transform the face of the imaging field as we know it. In fact, AI is currently being used as an efficient and cost-reducing solution to a variety of industry challenges.

Today, you’ll hear several panel conversations discussing generative AI in radiology, recorded live at the European Congress of Radiology. Held this year in Vienna, the ECR is one of the leading events in radiology as well as one of the world’s largest international meetings of radiology professionals, radiographers, physicists, and industry representatives.

In this episode, host Fabian Schoeck, Head of Global Product Management for Artificial Intelligence Products at Siemens Healthineers, is joined by Dr. Johannes Haubold, Senior Physician for Clinical AI Integration at University Hospital Essen and Isabelle Ayx, a Senior Radiologist at University Medical Center Mannheim, all based in Germany.

What You’ll Learn in This Episode:

• The potential and the limitations of generative AI in radiology
• AI can be used to help with early detection
• Generative AI can transform clinical workflows
• How can AI can pave the way for more accurate and efficient diagnostics
• Artificial intelligence can process massive amounts of data, allowing for huge advantages to research
• What’s coming next in AI development for the radiology field

Connect with Fabian Schoeck

• LinkedIn

Connect with Johannes Haubold

• LinkedIn

Connect with Isabelle Ayx

• LinkedIn

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Lung cancer has the highest mortality rate of all cancers. Globally, it is the deadliest cancer among men and women. One of the biggest contributing factors to lung cancer’s devastation is that it often goes undetected in its early stages. Because the lungs don’t have pain receptors and the chest cavity allows a relatively spacious growing environment for tumors, symptoms typically don’t manifest until the disease has progressed significantly. It’s for these reasons that screening higher-risk patients for lung cancer is so important, as early detection provides the best chance of survival from the disease.

In this episode, Dr. Victoria Schneider, clinical oncology consultant at Siemens Healthineers, is joined by Dr. Richard Booton, clinical director for lung cancer and thoracic surgery at Wythenshawe Hospital and professor of respiratory medicine at the University of Manchester in the UK; Rimma Kondrashova, a radiology resident at Hannover Medical School in Germany; and doctors David Yankelevitz and Claudia Henschke, both radiologists and professors of radiology at Mount Sinai’s Icahn School of Medicine in New York City.

You’ll hear from these experts about the importance of early detection, the programs that have been recently rolled out to increase survival rates, and some of the exciting new advancements in the field.

What You’ll Learn in This Episode:

• Early detection is a key factor in the successful treatment of lung cancer

• Government funded screening programs in the US and the UK have made significant headway in early-stage lung cancer diagnoses

• In Germany, the HANSE Study was created to assess what a successful national lung cancer screening program might look like for the country

• Mobile screening clinics have been implemented in order to move lung cancer screenings out of hospitals and into more readily accessible community spaces

• AI has had a major impact on several areas of lung cancer screenings, including improving the image resolution of scans and helping radiologists by minimizing the often-tedious work of reading images

Connect with Victoria Schneider

• LinkedIn

Connect with Richard Booton

• LinkedIn

Connect with David Yankelevitz

• LinkedIn

Connect with Claudia Henschke

• LinkedIn

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The carbon footprint of healthcare has been estimated to be 4 to 5% of the worldwide total. To put this number into perspective, if “healthcare” was a country, it would be the fifth largest emitter in the world, coming in just behind China, the United States, India, and Russia. Today we face pressing global issues like climate change and an energy crisis, that impact our health and wellbeing. It becomes crucial then, that the healthcare industry not only takes responsibility for health, but also actively works towards reducing the impact of the environment on people’s health – especially by reducing emissions and consumption of resources.

In this episode, Shikha Pillai, Global Head of Sustainability at Siemens Healthineers, is joined by Dr. Elmar Merkle, Head of the Department of Radiology and Chief Physician for Radiology and Nuclear Medicine at the University Hospital Basel in Switzerland; as well as Dr. Christopher Hess, Chair of the Department of Radiology and Biomedical Imaging at the University of California San Francisco; and Dr. Clemens Juettner, Chief Sustainability Officer at Sana Kliniken in Munich. These experts in radiology and sustainability are talking about what the sector is doing to implement consumption-reducing measures that can lead to not only operational efficiency, but also contribute significantly to our sustainable future.

What You’ll Learn in This Episode:

• For hospitals around the globe, the perpetual “idling” state of imagining machines contributes to the huge carbon footprint of radiology departments.

• On a global average, one hospital bed consumes the same amount of energy as four family homes annually.

• Major strides have been made toward more energy efficient imaging machines, but the most pressing issue is encouraging their use by the medical community.

• The production and delivery of imaging equipment can have massive environmental repercussions.

• It’s not just carbon footprint that can be reduced by greener radiology practices: cost is also a crucial factor.

Connect with Shikha Pillai

· LinkedIn

Connect with Clemens Juettner

· LinkedIn

Connect with Christopher Hess

· LinkedIn

Connect with Elmar Merkle

· LinkedIn

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Breast cancer is the most common cancer found in women worldwide, and one of the most effective ways to combat it is early detection through screening. However, this faces several challenges, such as limited access to screening, socio-economic issues and the difficulties in getting conclusive results from some tests. Taking screening closer to the people and employing artificial intelligence in diagnostics are two viable solutions that doctors are using to promote early detection.

Today, Siemens Healthineers Head of Marketing Women’s Health Aline Hambüchen talks with Dr. Brian Englander, Chairman of the Pennsylvania Hospital Department of Radiology, Federica Pediconi, professor of radiology at the University of Rome La Sapienza, Marco Caballo, Ph.D., a biomedical engineer and AI researcher at Radboud University Medical Center in Gelderland, NL and Abby Weldon, Senior Director of Women’s Health at Siemens Healthineers.

Listen to learn about what breast cancer screening entails and the barriers stopping women from being screened. You’ll also find out about mobile mammography trucks and the problems they are solving. Additionally, you’ll hear about the role that artificial intelligence (AI) can play in improving the diagnostic process.

What You’ll Learn in This Episode:

• How breast cancer gets diagnosed (02:57)
• Barriers to preventative breast cancer screening (05:16)
• How a mobile mammogram truck works ( 09:33)
• The impact that telemedicine is having on healthcare services (12:33)
• The consequences of canceled and delayed breast cancer screening (13:57)
• The role that AI can play in the fight against breast cancer (15:35)

Connect with Marco Caballo, Ph.D.:

• LinkedIn

Connect with Dr. Brian Englander:

• LinkedIn

Connect with Aline Hambüchen:

• LinkedIn

Connect with Abby Weldon:

• LinkedIn

Learn more about breast cancer prevention and self-examination here:

• https://www.siemens-healthineers.com/company/breastcancer-care

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