Clinical Systems & AI Lead

Job Description

Job Description

About the Job:

Contract Type: Full-Time Direct Hire (W2)

Salary : $70,000/yr-$95,000/yr

Location : Novi, MI

Make the EHR serve the people doing the work.

What you will own:

• Manage day-to-day EHR configuration, task routing, templates, reporting, user onboarding and role-appropriate access. Improve referral intake, scheduling, documentation, orders, results and follow-up workflows. Observe both office and field work, teach users patiently, maintain clear procedures, and coordinate vendor escalation. Measure whether changes reduce rework, improve follow-through and save staff time.

Responsible AI and automation:

• Lead focused pilots for documentation assistance, document handling, communications and other approved workflows.
• Evaluate privacy, clinical accuracy and user experience before broader deployment.
• AI-generated clinical content remains subject to clinician review and authentication; automation must not independently diagnose, prescribe or make unreviewed clinical decisions.
• Use approved systems, documented permissions and appropriate contractual/privacy safeguards.

A realistic technical boundary:

• You are the internal owner of clinical applications and workflow, not the sole infrastructure engineer, cybersecurity specialist or custom software developer.
• Coordinate networking, backups, security and complex integrations with qualified IT and vendor specialists.
• Work with practice leadership on priorities and approvals; clinical policy remains with licensed clinicians.

Responsibilities & Duties:

What you bring:

• Demonstrated EHR administration or advanced super-user work: show what you personally configured, improved and taught.
• Direct APRIMA experience is strongly preferred; comparable ambulatory EHR expertise is considered.
• Nursing, MA or other hands-on clinical experience is valuable, but strong clinical-workflow understanding can also be demonstrated through implementation and training work.
• We value calm troubleshooting, clear documentation, respectful teaching, discretion and completion of practical projects.
• AI implementation, reporting, revenue-cycle or interoperability experience is a plus—not a requirement to be expert in all of them.