Job Description

Summary
Under the general direction of the Radiology IT Director, the Senior System Business Analyst for the Enterprise Imaging AI program performs duties designed to maximize the utilization of AI across Michigan Medicine's Enterprise Imaging applications. This position involves the implementation and management of AI applications and algorithms, with an emphasis on data analytics and monitoring algorithm performance.

The successful candidate will participate in the development and expansion of the Enterprise Imaging AI program. They will be responsible for monitoring and analyzing AI algorithm performance, performing statistical analysis of algorithm performance and drift, and ensuring long-term reliability. Additionally, the candidate will update and enhance existing UM-GPT models used for Enterprise Imaging support and monitor and track the ROI of in-house and vendor provided AI applications to ensure they deliver value to the organization. This role involves assisting in the evaluation and testing of new and emerging AI technologies and algorithms, assessing their functionality and potential to replace older, less efficient systems.

The candidate will actively contribute as a team member of the Radiology IT Data Delivery team, assisting in fulfilling research and administrative data requests, particularly those related to AI. They will work closely with other IT personnel, PACS personnel, Clinical Department Managers, Researchers and Radiologists to identify and meet data needs, ensuring the proper operation and integration of AI algorithms and applications within clinical, educational and research workflows.

The ideal candidate will have proven experience in data analytics, a strong understanding of enterprise imaging systems and radiology workflows, and excellent problem-solving skills. Effective communication skills are essential for interacting with various stakeholders, including IT personnel, clinical staff, and department managers. Preferred skills include experience with generative AI models and their applications in healthcare, knowledge of PACS and radiology information systems, and familiarity with data governance and compliance in a healthcare setting.

This role offers the opportunity to be at the forefront of AI integration in healthcare, contributing to cutting-edge advancements in Enterprise Imaging at Michigan Medicine. If you are passionate about leveraging AI to improve clinical outcomes and operational efficiency, we encourage you to apply.

Responsibilities*
Support the Enterprise Imaging AI program, including workflow assessment, application troubleshooting, performance monitoring, and onboarding of new AI algorithms/applications.
Participate in the development and expansion of the Enterprise Imaging AI program.
Implement and manage AI applications and algorithms, focusing on data analytics and monitoring performance.
Perform statistical analysis of AI algorithm performance and drift, ensuring long-term reliability.
Update and enhance existing GPT models used for Enterprise Imaging support.
Monitor and track the ROI of AI applications to ensure they deliver value to the organization.
Assist in the evaluation and testing of new and emerging AI technologies and algorithms, assessing their functionality and potential to replace older systems.
Under limited supervision, gather and analyze data for developing and modifying AI workflows and applications.
Work closely with HITS and clinical departments in the development of AI governance policies and procedures.
Collaborate with clinical managers and personnel to identify and design future needs and efficient workflow processes that could benefit from further AI integration into operations.
Provide support for data analytics and reporting needs, including database queries and creation of reports and reporting dashboards.
Assist in fulfilling research and administrative data requests, particularly those related to AI.
Work closely with other IT personnel, PACS personnel, Clinical Department Managers, and Radiologists to identify and meet data needs.
Ensure the proper operation and integration of AI algorithms and applications within clinical workflows.
Support the education and research mission of Enterprise Imaging by providing necessary data and analytical insights.
Ensure compliance with department, hospital, HIPAA, and Joint Commission guidelines.
Required Qualifications*
Senior Level Requirements

Bachelor's degree or equivalent combination of education and experience
5+ years professional experience
Intermediate Level Requirements

Bachelor's degree or equivalent combination of education and experience
2-3 years of professional experience
Desired Qualifications*
Experience using SQL
Epic Clarity certification
Proficiency in using statistics to compile data, extrapolate trends, and perform complex analyses.
Project management skills, especially related to new software implementation
Exposure to any of these applications is a plus: Sectra, Mach7 eUnity, and Epic.
Knowledge of medical imaging and image processing, familiarity with image visualization software and clinical imaging workflows is desirable.
Learning and compliance with all University and Health System policies, rules, and regulations.