We know that AI can aid radiologists in image processing and interpretation. What about its impact at the point of image acquisition?
What if smart workflows at image acquisition could contribute to a more confident, efficient and patient-centered imaging experience? AI-enabled1 smart workflows across diagnostic imaging modalities can support radiology technologists, offering greater efficiency and clinical confidence so that they can focus more on the patient and less on the technology.
Challenge
Diagnostic imaging departments face staff shortages and variations in staff experience, putting pressure on imaging teams to find new efficiencies that also allow for quality time with the patient.
Results
AI-enabled technologies are significantly aiding workflow in end-to-end solutions, including preparing for the exam, guiding exam set-up, and fast, efficient scanning.
Radiology staff place great importance on the quality time necessary to focus on patient needs, many feel that they currently can’t devote enough time to patients.2 They feel burdened and at times burned out by increasing system complexity, strained budgets and staff shortages, and they feel a significant part – up to 23% – of their work could be automated.2
The whole workflow is easier because inexperienced techs are able to scan confidently without delays caused by missing information."
Julia Ehrsahm
RT, Marien Hospital, Stuttgart
Are you interested in learning more about how to address your challenges?
Challenge
Diagnostic imaging departments face staff shortages and variations in staff experience, putting pressure on imaging teams to find new efficiencies that also allow for quality time with the patient.
Results
AI-enabled technologies are significantly aiding workflow in end-to-end solutions, including preparing for the exam, guiding exam set-up, and fast, efficient scanning.
Take a deeper look at the solutions that are helping radiology departments successfully address workflow challenges.
Results presented are for illustrative purposes only and are not predictive of actual results for your business.
1. According to the definition of AI from the EU High-Level Expert Group.
2. Radiology Staff in Focus: A Radiology Services Impact and Satisfaction Survey of Technologists and Imaging Directors. Research Report. 2019. Philips.
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