Access Optimization Analyst — Elevate Patient Access

Lovelace Health System; Albuquerque (NM); On-site; USD 65,000 - 90,000; Full time

Job summary

Ardent Health is seeking an Access Optimization Analyst to improve provider access and referral workflows in a day-shift, full-time role. You will review, audit, and optimize templates, schedules, and messaging while supporting TNAA dashboard initiatives.

You will partner with clinic managers to ensure accurate message routing, scheduling efficiency, and data-driven process improvements, while training managers and staff on best practices.

Qualifications

• Associate degree or equivalent experience in a related field.
• Minimum 2 years in a health care clinic setting.
• Bachelor's degree preferred.
• Proficient with Epic Cadence and Ambulatory Modules (InBasket) and MS Office.

Responsibilities

• Reporting to the Process Improvement Manager, the Access Optimization Analyst reviews, analyzes, and evaluates information related to Access Optimization.
• Maintenance and auditing of providers' templates, schedules, scheduling instructions, message management, and TNAA Dashboard.
• Participation in process improvement initiatives by providing innovative ideas and solutions.
• Partners with clinic managers and staff throughout the organization to ensure optimal patient access, provider schedule utilization, and message routing accuracy.
• Trains new Managers, Supervisors, and Lead CSC on Access Optimization initiatives.

Education

Associate degree in a related field or equivalent experience

Bachelor's degree

Tools

Epic Cadence

Ambulatory Modules (InBasket)

Microsoft Office (Visio, Word, Excel, Outlook, PowerPoint)

Job description

Ardent Health is seeking an Access Optimization Analyst to improve provider access and referral workflows in a day-shift, full-time role. You will review, audit, and optimize templates, schedules, and messaging while supporting TNAA dashboard initiatives.

You will partner with clinic managers to ensure accurate message routing, scheduling efficiency, and data-driven process improvements, while training managers and staff on best practices.