Workflow

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News • Physicians' dilemma

Who is to blame for errors of medical AI?

Assistive AI systems are designed to ease the workload of physicians. However, implementation of the technology could actually worsen challenges related to error prevention and burnout, experts warn.

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Article • Philips at ECR 2025

Enhancing the “eye of medicine”

A greater emphasis on AI and sustainability, new approaches to mitigating staff shortage and more: At the European Congress of Radiology (ECR) 2025 in Vienna, Philips showcased its approaches to…

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Sponsored • Laboratory automation

Connect, automate and innovate your lab through SMART Automation 

In today’s fast-paced healthcare landscape, efficiency and accuracy are essential in overcoming workload challenges. Pathology laboratories are under pressure to keep up with growing demands, all…

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News • Study explores effects on immune system

Night shift nurses may pay for their sleep debt with infections

A new study examining the effects of sleep patterns and shift work on the immune system has found that sleep debt and night shifts increase the risk of several common infections in nurses.

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News • Medical evaluation via digital channels

Digitization calls for new skills in nurses

The work of a nurse is becoming increasingly digital. A new study shows that nurses need to expand their professional competencies beyond their traditional skills to adapt to these changes.

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Article • From chatbot to medical assistant

Generative AI: prompt solutions for healthcare?

Anyone who has exchanged a few lines of dialogue with a large language model (LLM), will probably agree that generative AI is an impressive new breed of technology. LLMs show great potential in…

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Article • Focus on quality control

Improving radiology department efficiency for hospital inpatients

Because radiology exams are an integral part of the treatment process for many hospital inpatients, any improvements in efficiency can have a positive ripple effect on routine hospital operations and functionality. Two quality control presentations at the 2023 RSNA Annual Meeting shared the theme of creating representational staff teams to identify bottlenecks involving radiology report…

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Sponsored • Tissue-Tek Xpress® x120 Rapid Tissue Processor

Process tissue continuously, safely, and in a standardised way while speeding up your throughput

Sakura Finetek’s Tissue-Tek Xpress® x120 Rapid Tissue Processor is the only instrument on the market that allows for continuous, rapid processing of both biopsy and larger tissue, resulting in a streamlined histology workflow. Being part of Sakura’s SMART Automation concept, this tissue processing solution is designed to automate manual work and create a continuous flow throughout the lab. 

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Article • Addressing diagnostic backlogs

Harnessing the power of AI for women's health

Although the Covid-19 pandemic is behind us, healthcare facilities continue to experience workflow challenges and resource constraints impacting women’s health and a patient’s ability to receive a timely diagnosis. Clinical specialties like breast radiology and cytology are especially susceptible to these issues and continue to experience backlogs, which impact their ability to deliver timely…

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Article • Transformative technology

Generative AI in healthcare: More than a chatbot

‘Computer, why did the doctor take that MRI scan of my leg? And what did it show?’: Popularized by OpenAI’s ChatGPT, generative artificial intelligence (AI) is already beginning to see practical applications in medical settings. The technology holds immense potential, with benefits for patients, clinicians, and even hospital administration, according to Shez Partovi, MD.

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Article • Digital breast tomosynthesis

Transforming breast screening: The role of AI in improving reading workflow

While having more centers adopt digital breast tomosynthesis (DBT) for breast cancer screenings into their practice is a positive change, it also presents some challenges for radiologists—particularly the increased number of images for radiologists to review. This challenge has paved the way for AI to offer innovative workflow solutions for radiologists that do not sacrifice accuracy.

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