Epic Inpatient CDI Lead - IT Application Analyst

Mayo Foundation for Medical Education and Research

Rochester (MN)

On-site

USD 113,000 - 158,000

Full time

14 days+
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Benefits offered by this job

Medical plans
Dental coverage
Vision plan
HSA/FSAs
Retirement plan

Job summary

Mayo Clinic seeks a Lead IT Application Analyst for the Clinical Documentation Team. You will provide leadership, oversight of inpatient documentation, and partner with nursing, physicians, APPs, and Epic teams to ensure accurate provider data across inpatient workflows.

The role requires strong leadership, collaboration, and technical expertise to drive data quality, standardize processes, and support ongoing system integration efforts.

Qualifications

  • Master’s degree with 6 years' experience including 3 years of demonstrated leadership experience OR bachelor's degree with 8 years' experience including 3 years of demonstrated leadership experience OR associate's degree and 10 years' experience including 3 years demonstrated leadership experience.
  • Vendor application certification may be required.

Responsibilities

  • Lead the Clinical Documentation Team, providing day-to-day leadership and strategic direction.
  • Drive data quality improvements, optimize workflows, and ensure reliable support of systems.
  • Develop team capabilities and mentor staff across clinical and IT interfaces.
  • Coordinate implementation efforts and manage projects across organizational boundaries.

Skills

Leadership
Stakeholder engagement
Data quality improvements
Workflow optimization

Education

Master’s degree with leadership experience

Tools

EpicCare Inpatient Clinical Documentation

Job description

Mayo Clinic seeks a Lead IT Application Analyst for the Clinical Documentation Team. You will provide leadership, oversight of inpatient documentation, and partner with nursing, physicians, APPs, and Epic teams to ensure accurate provider data across inpatient workflows.

The role requires strong leadership, collaboration, and technical expertise to drive data quality, standardize processes, and support ongoing system integration efforts.

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