Every day you make hundreds of decisions impacting the well-being of your patients. This is becoming more and more challenging with the ever-growing amount of data. To overcome this, we drive the digital transformation of imaging to improve patient care and to provide better outcomes with increased efficiency. The digital transformation of radiology is centered around three themes:
Radiology departments are faced with a multitude of challenges today like staff shortages, increasing amounts of data as well as the need for faster and precise diagnosis and innovative solutions. These demands need to be met effectively and efficiently. This is where digital solutions can play an increasingly vital part in transforming radiology. Using digital technologies to turn large amounts of data into insights will support more precise diagnosis, targeted treatment, and greater patient satisfaction.
Innovation is central to assist in data acquisition. Intelligent solutions enable you to generate accurate data and faster image interpretation, thereby creating actionable insights. The possibilities of digitalization help users efficiently achieve reproducible results – by guiding operators through imaging procedures, so that they can interact easily and naturally with both patient and technology. This has been made possible by myExam Companion that launches a new era of intelligent imaging that works with you to efficiently operate modalities.
One of the most pressing concerns in radiology today is the exponential growth of data and the shortage of medical staff. Intelligent solutions support radiologists in making better informed clinical decisions and adding value along the patient journey. Through superior integration and interpretation of data and creation of actionable insights, AI-powered solutions assist radiologists and clinicians in making the right decision for every patient. Discover more
At Siemens Healthineers, we focus on these three areas to support you with the challenges of today and tomorrow. So let’s explore our offerings across these three themes.
NAEOTOM Alpha1 with Quantum Technology is nothing less than the total reinvention of computed tomography. Based on the revolutionary direct signal conversion of its QuantaMaxdetector, NAEOTOM Alpha® offers high-resolution images at minimal dose, spectral information in every scan, and improved contrast at lower noise. Experience a defining moment in computed tomography.
Technology has opened doors to improve and support healthcare and radiology has a major role to play in making medicine more precise and shaping care delivery. Innovative technologies such as artificial intelligence (AI), robotics, and automation are crucial enablers for expanding precision medicine, transforming care delivery, and improving patient experience at your institution.
Watch the video to see how emerging trends and shifting market dynamics are likely to have a major impact on imaging departments worldwide in the years to come.
How can we transform care delivery?
Today’s healthcare delivery is fragmented, and payment models often incentivize volume rather than outcomes. To ensure value, care needs to be organized around a patient’s medical conditions. Therefore, improving access to care and making it revolve around the patient is imperative and will see an increased focus going forward. There are three key aspects to this – Making care affordable, accessible and available. Patients around the world need to have access to high quality solutions that are affordable. But care delivery also needs to be accessible. We need to expand the reach with pathbreaking technologies, intelligent solutions and simplified infrastructure. Finally, bringing convenient ways to deliver care is crucial for improving access to care. Therefore, healthcare will increasingly be more broadly provided through remote services. Not only to respond to the demands of infectious diseases like COVID-19, but also to make healthcare in general more efficient and convenient for patients.
New approaches allow healthcare professionals to remotely interact with patients along the entire patient pathway from monitoring, to diagnosis, to therapy.In addition, remote services connect healthcare professionals to make expertise accessible and enable collaborative decision-making.
Will AI take over imaging and replace radiologists?
Over the years, AI has been gradually integrated into radiology in several different ways and is no doubt a hotly discussed topic today. It is a valuable tool that, when combined with the human expertise of radiologists and clinicians, offers vast potential to the healthcare industry and could revolutionize clinical workflows. In the long term, with AI-assisted image analysis improving by the day, radiology as we traditionally know it will cease to exist. This doesn’t mean it will go away, instead it will be significantly different, and at the same time more important than ever. It will help to center and integrate data from various sources (e.g., Pathology, Lab, Genetics, Imaging) in order to best navigate and stratify patients for their personalized therapy. Therefore, AI will not replace radiologists, rather help them become more accurate and efficient.
To stay successful in meeting today’s challenges, hospitals, and in specific radiology departments, are increasingly focusing on an interdisciplinary, disease-oriented setup across departmental borders. We want to support these institutions along this journey by being their partner along disease pathways.
Already today we cover many clinical topics and tailor our radiology products and solutions along clinical pathways. And with intelligent, digitally connected imaging solutions in diagnosis and therapy, you can improve diagnostic accuracy, plan treatment options and guide minimally invasive therapy. With our focus towards the world’s major diseases stroke, coronary artery disease, lung and liver cancer, we are committed to support patients in every step of their journey.
The COVID-19 pandemic has been so deeply impactful that it has changed the lives and the way of thinking for all of us in a very short time. We believe it has the potential to significantly change the radiology and healthcare system: In particular, it might serve as a catalyst in developing more effective, efficient and, above all, more humane medicine.
We are fully committed to supporting our partners in the healthcare system to provide the best possible care for their patients.
Find out information including disinfection recommendations for imaging scanners by clicking below.
Discover how radiology helps improve care in developing nations: Extending medical knowledge to underserved regions – hear in our latest podcast episode more about the role that radiology and artificial intelligence play in this development as Managing Board Member Christoph Zindel talks to Suresh de Silva, MD – founder of Radiology Across Borders.
The COVID-19 crisis will transform radiology, having a major impact on transforming care delivery, improving patient experience and digitalizing healthcare. Learn how in this “new normal”, virtual healthcare will be an established way of care delivery and AI and machine learning will become value drivers for healthcare providers.
Driving the digital transformation of radiology to improve patient care and to provide better outcomes with increased efficiency.
The product(s)/feature(s) demonstrated/showcased here are not commercially available in all countries. Their future availability cannot be guaranteed.
MAGNETOM Free.Star is still under development and not commercially available yet. Its future availability cannot be ensured.
Syngo Carbon consists of several products which are (medical) devices in their own right. Some products are under development and not commercially available. Future availability cannot be ensured.
AI-Rad Companion and AI-Pathway Companion consist of several health products and medical devices in their own right, and products under development. AI-Rad Companion and AI-Pathway Companion are not commercially available in all countries. Their future availability cannot be guaranteed.