FHIR and DICOM to enable radiology workflows
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Project Overview
WinFully on Technologies is a leading healthcare IT consulting firm with 16 years of experience in interoperability and digital health strategies. WinFully was hired by Healthcare organization, a global leader in health technology, to integrate AI models into its existing radiology workflows and improve diagnostic accuracy and efficiency.
Challenges & Requirements
Healthcare organization faced the challenge of integrating AI models into its existing radiology workflows, which involved multiple systems and standards, such as PACS, RIS, DICOM, and HL7. Healthcare organization also needed to ensure that the AI models were validated, compliant, and scalable.
“Just because something doesn’t do what you planned it to do doesn’t mean it’s useless. – Thomas Edison (Inventor)”




Process
WinFully used its expertise in FHIR and DICOM to enable AI-powered radiology workflows for Healthcare organization. WinFully used FHIR to orchestrate the communication and data exchange between the different systems and components, such as the PACS, RIS, AI models, and reporting tools. WinFully used DICOM to store and transmit the medical images and metadata, as well as to embed the AI results into the DICOM objects. WinFully also used a cloud-based platform, called Healthcare organization HealthSuite Insights, to manage, deploy, and scale the AI models.
Results
WinFully enabled AI-powered radiology workflows for Healthcare organization that improved the diagnostic accuracy and efficiency of radiologists, as well as the quality and safety of patient care. WinFully also demonstrated the interoperability and scalability of the AI solutions, which could be integrated with different systems and standards using FHIR and DICOM.
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