Healthcare professional on a computer

Enhancing workforce productivity in radiology Digital solutions to empower teams and solve workforce challenges 

Solving Radiology’s Labor Crisis: is AI the Answer key visual

Today, the most daunting challenge radiologists face is a simple matter of supply and demand: the number of radiology studies ordered is growing exponentially, while the number of radiologists is stagnating. 

In the meantime, many radiology departments are looking to technology to help increase current staff productivity without sacrificing their ability to deliver high-quality diagnoses. 

Is Artificial Intelligence (AI) the solution you’ve been waiting for?

Graph showing "5% imaging studies increase. 2% Radiology residency position increase."

Radiology departments face an array of workforce challenges, from stress and soaring workloads to radiologist staff shortages and an ever-expanding demand for imaging services. These factors strain resources, impact the well-being of radiology professionals, and create substantial barriers to delivering timely and quality patient care.

To address these complexities and enhance workforce productivity, embracing sustainable work methodologies are key.

Syngo Carbon Many Into One

Many radiology departments are now looking to technology to help increase current staff productivity without sacrificing their ability to deliver high-quality diagnoses.

Adopting cutting-edge digital and workforce innovations, such as enterprise imaging IT, AI-powered decision support, and patient engagement solutions, has the potential to revolutionize diagnostic imaging. These advancements not only improve the quality of care for patients but also reduce the workload on healthcare professionals, enabling them to focus more on patient interaction and care.

Healthcare professional viewing images of a patient in the MAGNETOM Free.Max

Intelligent imaging in radiology

Intelligent medical imaging enhances precise, high-quality imaging data by helping you generate accurate and faster image acquisition.

AI Rad Companion screenshot

Artificial intelligence in radiology

AI solutions can help radiology teams accelerate work, maximize productivity, improve standardization, and boost clinical confidence across the entire department.

cybersecurity, data privacy, data security, cloud security, compliance, HIPAA, GDPR, EuroPrise

While cybersecurity threats have long been present in healthcare, their prevalence has surged with the digital transformation and advancement of AI in radiology.

At Siemens Healthineers we are committed to helping you stay on track, no matter what challenges and threats you face. We constantly improve our newly developed systems and processes and train our teams in cybersecurity matters, so that high cyberthreat awareness stays top of mind.

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