Healthcare Perspectives

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·   LinkedInConnect with Clemens Juettner·   LinkedInConnect with Christopher Hess·   LinkedInConnect with Elmar Merkle·   LinkedIn Hosted on Acast. See acast.com/privacy for more information.

Urine is more than a natural waste product—it can provide a wealth of information about an individual’s overall health, and urinalysis is one of the oldest diagnostic tests in existence. Its use has been dated as far back as Mesopotamia and ancient Greek physician Hippocrates wrote extensively about the use of urinalysis in diagnosing disease in the 6th century BCE. Today, urinalysis can be used to detect a number of diseases and ailments including urinary tract infections, kidney disease, diabetes, and bladder cancer. In this episode, Will Hutt, Head of Primary Care, Acute Rapid & Decentralized Urinalysis at Siemens Healthineers, is joined by Nancy Brunzel, a medical laboratory scientist and author of the book Fundamentals of Urine and Body Fluid Analysis and Jon Stradinger, director of assay development for point of care at Siemens Healthineers. We’ll also hear from two experts interviewed for Siemens Healthineers’ recent five-part docuseries about the history of urinalysis: Medical Author and Educator Connie Mardis and Kelly St. Vrain, the head of marketing operations for diagnostics at Siemens Healthineers. They’re discussing the current state of urinalysis, where it could go in the future, and what it all means for the overall patient experience.Watch Siemens Healthineers’ five-part docuseries Urine, A Liquid Lens into Your Health What You’ll Learn in This Episode:           •         Urinalysis is cost-effective and non-invasive—two reasons it is such a popular diagnostic tool.           •         Urinalysis can play an integral role in the early detection of serious diseases.           •         Advances in urinalysis such as automated test strip readers have brought new innovations in the consistency and quality control of the test.           •         There is a lot of potential for the role that artificial intelligence may come to play in interpreting the data of urinalysis results.           •         Urinalysis has existed for millennia, but it will remain an invaluable tool in healthcare.Connect with Will Hutt·     LinkedInConnect with Nancy Brunzel·     LinkedInConnect with Jon Stradinger·     LinkedInConnect with Kelly St. Vrain·     LinkedInConnect with Connie Mardis·     LinkedIn Hosted on Acast. See acast.com/privacy for more information.

A vast number of cancer patients will undergo radiotherapy during their treatment process. Because of this, experts are searching for ways to treat patients as effectively as they can through radiotherapy while also reducing the treatment’s side effects as much as possible. One answer to this is adaptive radiotherapy. Recent advancements in AI and imaging technology have refined the process and made new solutions possible. These advancements have made it easier for healthcare professionals to adapt treatment to real-time images of the patient's anatomy. This helps to preserve the health of organs surrounding the targeted area and treat patients more effectively.Today, Sasa Mutic, Senior Vice President at Varian Medical Systems, a Siemens Healthineers company, is joined by Dr. Eric Horwitz, Chair of the Department of Radiation Oncology at Temple University and Fox Chase Cancer Center in Philadelphia; Jennifer Pursley, Medical Physicist and assistant professor at Harvard Medical School; and Kirsten Offereins-van Harten, a senior radiotherapeutic technician at Erasmus University Medical Center in Rotterdam, Netherlands. They discuss how advancements in adaptive radiology technology have transformed the patient experience and the field as a whole—and where it may take us in the future.What You’ll Learn in This Episode:Adaptive radiotherapy allows real time scans of a patient in order to better, more precisely treat tumors.Improvement of imaging technology advances the ability to contour organs, which is a major aid in avoiding collateral damage around the target.Adaptive radiotherapy has the potential to reduce the ill effects of typical radiological treatments by focusing on a more precise target, therefore allowing patients to maintain their quality of life.Adaptive radiotherapy greatly changes the way that providers work together to create a treatment path. Artificial intelligence can potentially expedite the process of adaptive radiotherapy by allowing for a more accurate picture of the contours around affected organs. Connect with Sasa MuticLinkedInConnect with Dr. Eric HorwitzLinkedInConnect with Jennifer Pursley, PhDLinkedInConnect with Kirsten Offereins-van HartenLinkedIn Hosted on Acast. See acast.com/privacy for more information.

The World Health Organization states that access to care is a human right. This means all world citizens should have access to quality health care and services, whenever and wherever they need it. To reach this goal, skilled employees are required at all levels of the healthcare system. For many low- and middle-income countries, this access is extremely difficult and training and development programs for workers within the field of radiology are often unavailable, only perpetuating the staffing shortage issue.Of particular concern is staff shortages in radiology and radiotherapy. In this episode, you’ll hear about potential solutions to this problem, including collaboration to facilitate, expand, and improve training coupled with innovations in health technologies.Today, Ven Virah, Global Contingent Staffing Expert, Workforce Solutions at Siemens Healthineers, is joined by Jeannette Parkes, a clinical director at Access to Care Cape Town and Head of the division of Clinical and Radiation Oncology at Groote Schuur Hospital and the University of Cape Town, as well as Barry Asin, President at Staffing Industry Analysts in Mountain View, California, and Dr. Katja Beitat, Head of Health Tech at Cicada Innovations and Director of Technology and Innovation at Radiology Across Borders in Sydney.What You’ll Learn in This Episode:That the COVID-19 pandemic, an aging society, resignations, and retirements all contribute to the healthcare staffing crisis (02:45)Collaboration is one of the keys to spreading knowledge and increasing the availability of care in underserved areas (06:02)In areas with few opportunities for healthcare, remote consultations have become invaluable (08:15)How programs allowing healthcare workers to upskill or learn entirely new practices have been aided by VR and AI (11:04)Sustainable education programs for medical professionals in low- and middle-income countries have become an important tool for improving care in those areas (13:39)Connect with Ven VirahLinkedInConnect with Jeanette ParkesLinkedInConnect with Barry Asin LinkedInConnect with Dr. Katja BeitatLinkedIn Hosted on Acast. See acast.com/privacy for more information.

By 2030, the World Health Organization predicts a global shortage of 15 million healthcare workers. As the number of individuals requiring medical care increases, staff shortages are becoming more of a problem. In diagnostic areas with complex indications, the lack of trained and knowledgeable staff can lead not only to errors but also to insufficient time for patient care. Radiology technologists must also be able to perform complex cases, and this requires separate training.To solve the global staffing shortage, there are two crucial keys: staff recruitment and staff retention — both of which medical schools, hospitals, and industry can play an important role in. Today, Ven Virah, Global Contingent Staffing Expert, Workforce Solutions at Siemens Healthineers, is joined by Dr. Elliot K. Fishman, Director of the Divisions of Diagnostic Imaging at the Johns Hopkins Hospital and Professor of Radiology at Johns Hopkins University in Baltimore, Maryland; Brad Genereaux, Global Lead of Medical Imaging at NVIDIA; and Elio Arruzza, a lecturer and research academic in medical radiation science at the University of South Australia who also works as a radiographer and medical imaging technologist for Jones Radiology in South Australia.What You’ll Learn in This Episode:•That today’s medical students demand a more interactive education (00:13)•How advances in virtual reality and augmented reality are creating better trained, more confident healthcare providers (02:41)•With a hands-on approach to education, how students can adapt more easily to in-person training at hospitals and clinics (05:19)•By using AR and VR simulation training, how healthcare professionals working with medical students can free crucial time while their students train (06:44)•That artificial intelligence has the potential to act as a research partner, a sounding board, and a failsafe for medical professionals (12:24)Connect with Ven VirahLinkedInConnect with Dr. Elliot FishmanLinkedInConnect with Elio Arruzza LinkedInConnect with Brad GenereauxLinkedIn Hosted on Acast. See acast.com/privacy for more information.

Top-class, professional soccer demands the highest performance from athletes’ bodies—both in training and in competition. As the years have progressed and skill and competition have augmented, physical demand from athletes has increased exponentially. In addition to an elite running game, professional footballers are also trained to achieve cannon-like kicks of up to 120 kilometers per hour and withstand headers stronger than the punch of a professional boxer. In this episode, Dr. Yvonne Braun, Director of Global Clinical Marketing Surgery at Siemens Healthineers, is joined by Dr. Jochen Hahne, an orthopedic specialist and team physician, Prof. Dr. Martin Mack, a specialist in diagnostic and interventional radiology and Prof. Dr. Peter Ueblacker, a team physician and specialist in orthopedics and chirotherapy, all of whom work with FC Bayern, the most successful soccer club in German history. You’ll hear from the doctors who work with FC Bayern about how advances in orthopedics and medical imaging technology allow them to keep players in the game given all of the continuous stresses they’re under. What You’ll Learn in This Episode:•How team doctors with FC Bayern manage injured players•The way the club’s medical team and its team doctors collaborate to keep players healthy•Why prevention is the most powerful key to a healthy team•The importance of time and patience in healing sports-related injuries•How radiology plays such a major role in FC Bayern’s medical protocol•The problems that can arise when under-trained, under-experienced radiologists are at the helmConnect with Prof. Dr. Martin Mack:•LinkedInConnect with Dr. Yvonne Braun:•LinkedInConnect with Dr. Jochen Hahne & Prof. Dr. Peter Ueblacker:•FC Bayern Website Hosted on Acast. See acast.com/privacy for more information.

One of the Covid pandemic's impact is an increase in resignations in healthcare. Combined with rising patient needs, hospitals are now understaffed and looking for new solutions. This is where remote technologies may help. In fact, some hospitals are already seeing success in implementing remote technologies to help in treatment and diagnostics without increasing staff in specific locations. Today Ven Virah, Global Contingent Staffing Expert, Workforce Solutions at Siemens Healthineers, is joined by Anton Quinsten, Chief Radiology Technologist, University Hospital Essen, Germany, Melissa Petrasko, Vice President of Imaging Services, Central Florida Division at AdventHealth, and Ben Archibald-Heeren, Medical Physicist at Icon Cancer Centre, Australia.They discuss how remote scanning impacts imaging in the medical industry. You’ll also learn how telehealth transforms patient care and the medical staff’s morale. Additionally, you’ll hear about AI's role in the medical industry and the impact it's expected to have in the near future.What You’ll Learn in This Episode:Why it’s hard to replace radiation therapists and oncologistsThe impact of remote scanningHow the Covid pandemic impacted the hospital staffThe barriers stopping medical staff from advancing their careersHow enabling radiologists to work remotely impacts patient careHow artificial intelligence impacts radiologists' workloadConnect with Anton Quinsten:LinkedInConnect with Melissa Petrasko:LinkedInConnect with Ben Archibald-Heeren:TwitterConnect with Ven Virah:LinkedIn Hosted on Acast. See acast.com/privacy for more information.

The COVID-19 pandemic exposed many weaknesses in the healthcare systems in both developed and developing countries. At the same time, the pandemic led many healthcare leaders to think out of the box and embrace new technologies in diagnostics, treatment, human resources, funding, and general patient care. Beyond the pandemic, we are seeing a greater commitment to create a more sustainable and resilient healthcare system globally.Today, Tisha Boatman, Head of Global Access to Care at Siemens Healthineers, is joined by Kelly McCain, Head of Health and Healthcare Initiatives at the World Economic Forum in Geneva, Switzerland, and Isabel Mestres, the CEO of City Cancer Challenge Foundation, an organization that supports cities around the world as they work to improve access to equitable cancer care.Stay tuned to learn more about the challenge of non-communicable diseases like cancer and heart disease in middle-income and developing countries. You’ll hear about the possible impact that AI is expected to have on the healthcare industry, and how City Cancer Challenge Foundation leverages collaboration to push for meaningful change.What You’ll Learn in This Episode:●  How the burden of non-communicable disease impacts developing countries (02:21)●  The benefits of standardizing care for non-communicable diseases (04:03)●  The possible impact of AI on the healthcare system (12:05)●  How collaboration can help push for meaningful change in the healthcare system (14:17)●  The impact of COVID-19 on the current healthcare model (25:47)Connect with Isabel Mestres:●  LinkedIn●  City Cancer Challenge (C/Can)Connect with Kelly McCain:●  LinkedInConnect with Tisha Boatman:●  LinkedIn Hosted on Acast. See acast.com/privacy for more information.

A diagnosis of cancer is one of the most devastating a person can receive—and worldwide, the number of new cancer diagnoses per year is on the rise, putting even more stress on patients, their families, care teams and health systems. Today, Gabriel Haras, MD, president of Cancer Therapy Imaging at Varian, a Siemens Healthineers company, is exploring whether digital twin technology could help create a world without fear of cancer. He’s joined by Chloé Audigier, senior AI research scientist at Siemens Healthineers, and Christian Weißenberger, MD, head of outpatient care at the Center for Radiotherapy and Radio-oncology in Freiburg in Breisgau, Germany.Find out how digital twins could transform the entire cancer care path – from early detection to treatment and follow-up care. You’ll also learn how a digital twin of an organ is created. And you’ll hear what digital twin technology could mean for patients, clinicians, and the future of oncology.What You’ll Learn in This Episode:How the digital twin of an organ is created (03:40)Why early detection of cancer is so important (06:03)How digital twins could improve diagnosis (08:50)How digital twins could help find the right therapy (12:09)The role of digital twins in follow-up care (18:41)Connect with Christian Weißenberger:LinkedInConnect with Chloé Audigier:LinkedIn Hosted on Acast. See acast.com/privacy for more information.

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.:LinkedInConnect with Dr. Brian Englander:LinkedInConnect with Aline Hambüchen:LinkedInConnect with Abby Weldon:LinkedInLearn more about breast cancer prevention and self-examination here:https://www.siemens-healthineers.com/company/breastcancer-care Hosted on Acast. See acast.com/privacy for more information.