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Digital Transformation of Radiology

Shaping data-driven decisions in imaging, improving patient care
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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:

  • Intelligent Imaging to gather high-quality data while using the full potential of the systems
  • AI-powered Clinical Decisions to guide decision making along the patient journey
  • Streamlined Operations to increase productivity and optimize asset utilization

In this video, Andre Hartung, President of Diagnostic Imaging at Siemens Healthineers explains how the power of digitalization is used to turn data into information.

Digital Transformation - What it means for radiology

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.

Intelligent imaging

Intelligent imaging

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.

AI-powered clinical decisions

AI-powered clinical decisions

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

Streamlined operations

Streamlined operations

Along with staff shortages, radiology and imaging departments worldwide are faced with additional pressures like increasing workload. Digitalization can unlock a whole new level of operational performance as well as hidden potential for improvements, helping you operate more efficiently. Digital solutions like remote scanning software and platforms that enable data-driven decisions along the entire patient pathway can empower you to simplify operations and create smart workflows to help reduce the workload and boost workforce productivity. 

Latest radiology innovations

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.

Future of radiology

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.

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.

AI is already contributing significantly to radiology and with new innovations,

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.

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. 

AI

Therefore, AI will not replace radiologists, rather help them become more accurate and efficient. Dr. Christoph Zindel, Member of the managing board of Siemens Healthineers, explains how increased use of digital technologies would enable radiologists to focus on complex cases and spend more time with patients. According to him, AI will assist with the interpretation of imaging findings and help reduce the burden of basic repetitive tasks. By helping radiologists save time on operating diagnostic machines, AI-powered solutions will also allow them to focus on collaborating with other disciplines, thereby helping radiology embrace innovation and drive change across disciplines for the benefit of patients.


Get insights on AI COVID-19 - Joint efforts towards precision medicine


COVID-19: What we can learn from the pandemic

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.

covid-19
The inclusion of radiological findings in confirming the COVID-19 diagnosis of a patient has significantly increased the workload of radiologists. More and more cases must be read, annotated and prioritized. AI-powered analysis of radiological images has the potential to reduce this growing burden on radiologists, speed up their reading time and accuracy.

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.

Hear it from the thought leaders in healthcare

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.

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