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Streamlining Radiology Workflows Through the Development and Deployment of Automated Microservices
Anton S Becker1,2, Joshua Chaim3, Hebert Alberto Vargas3,4
1Department of Radiology, Body Imaging Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA. Anton.Becker@nyulangone.org.
Journal of Imaging Informatics in Medicine
|February 13, 2024
Summary
Microservices automate tasks in radiology workflows, saving radiologists time. This approach improves efficiency and accuracy by developing specialized software services for routine operations.
Area of Science:
- Radiology Informatics
- Software Engineering
- Health IT
Background:
- Radiology workflows involve numerous routine tasks that can be time-consuming.
- Automation of these tasks can lead to significant improvements in efficiency and accuracy.
- Microservices architecture offers a modular approach to software development suitable for specialized tasks.
Purpose of the Study:
- To describe the development and deployment of microservices in a tertiary cancer center's radiology department.
- To demonstrate how microservices can automate routine tasks and save time for radiologists and staff.
- To outline the process and considerations for developing and implementing microservices in a clinical setting.
Main Methods:
- Development of independently deployable microservices focusing on specific functions.
- Integration with existing systems like Picture Archiving and Communication Systems (PACS) and Radiology Information Systems (RIS).
- Iterative development process: problem identification, API connection, data collection, prototyping, deployment, feedback, refinement, and production.
Main Results:
- Successful deployment of microservices for automated shift emails, fellow rotation notifications, outside examination alerts, and report template population.
- Substantial time savings achieved for radiologists and administrative staff.
- Demonstrated feasibility of microservices in enhancing radiology workflow efficiency.
Conclusions:
- Microservices architecture can significantly optimize radiology workflows through automation.
- Key considerations for successful implementation include multidisciplinary collaboration, interoperability, security, and privacy.
- The development process emphasizes iterative refinement and continuous improvement.
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