Clinical Application Specialist
DeepHealth
Clinical Application Specialist
DeepHealth
AI-driven medical imaging and informatics platform
The Senior Application Workflow Specialist supports complex RIS, PACS, and clinical AI implementations within Service and Delivery by providing clinical workflow analysis, optimization, and consulting. This role advises radiology departments and clinical stakeholders on how to configure and adopt DeepHealth solutions, and partners with Implementation, Support, Operations, Product, Sales, and Customer Success to improve diagnostic and operational outcomes and sustained user adoption.
Essential Duties and Responsibilities
Conduct pre- and post-implementation workflow assessments in radiology departments to identify operational challenges, diagnostic delays, and opportunities to improve clinical and operational efficiency.
Develop and document clinical workflow strategies that support adoption and optimization of PACS, RIS, and clinical reporting solutions.
Act as a clinical subject matter expert during customer engagements, guiding radiologists, clinicians, department directors, and clinical administrators through change management.
Lead clinical training for radiologists, technologists, and clinical administrators to support onboarding and proficient use of deployed solutions.
Partner with implementation and technical teams so product configurations align with each facility's clinical workflows, protocols, and user preferences.
Serve as the primary clinical workflow resource for assigned complex implementations from kick-off through go-live, hypercare, and post-implementation support.
Maintain customer workflow assessments, future-state workflow designs, and training plans in project or ticketing systems.
Contribute to continuous improvement of Service and Delivery clinical workflow methods, support processes, and the knowledge base.
Ensure work complies with applicable regulatory standards and internal policies.
Support key customers with clear updates and guidance to sustain adoption and positive clinical relationships.
AI-driven medical imaging and informatics platform
DeepHealth provides AI-powered medical imaging and health informatics solutions that help radiologists analyze X-rays, CTs, and MRIs by automating parts of image interpretation, highlighting areas of concern, and delivering quantitative insights. It works by integrating AI into radiology workflows via cloud-based software, enabling automated image analysis, scoring, and reporting within enterprise imaging systems. The company differentiates itself through its integration with RadNet and strategic acquisitions of iCAD and CIMAR UK, expanding breast imaging capabilities, interoperability, and the scale of its deployments. Its goal is to accelerate the adoption of AI in real-world healthcare, improve diagnostic accuracy and consistency, and streamline imaging workflows across hospitals and health systems.
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