Advanced OR Scheduler - Invasive Services

Umcelpaso; El Paso (TX); On-site; USD 45,000 - 65,000; Full time

Job summary

University Medical Center of El Paso is seeking a Scheduler for Invasive Services to actively coordinate the department schedule and optimize utilization of services. The role involves granting physicians access to schedules and confirming case sequences the day before procedures to ensure smooth operations.

The scheduler will also handle anesthesia charges, audit nursing data, and contribute to process improvements for computer system conversions.

Qualifications

• Must have strong communication skills.
• Requires basic computer literacy and keyboarding.
• Able to organize, prioritize, and work under pressure.
• Capable of thriving in a fast-paced environment.
• Exhibits sound judgment in problem solving.
• Familiar with procedures and equipment.
• Ability to read/write/understand English clearly.
• Familiar with anatomy and body parts preferred.
• Knowledge of clinical procedures and medical records preferred.
• Understands case length and physician scheduling needs for electives.

Responsibilities

• Coordinate department schedule for maximum efficiency.
• Provide schedule access to physicians.
• Call physicians the day before cases to verify sequence.
• Complete anesthesia charges.
• Audit nursing data for accuracy.
• Assist in developing processes for system conversions.

Skills

Oral & written comms

Computer literacy

Multitasking

Fast-paced work

Problem solving

Procedures & equipment knowledge

English comprehension

Anatomy familiarity

Clinical records knowledge

Elective schedule optimization

Job description

University Medical Center of El Paso is seeking a Scheduler for Invasive Services to actively coordinate the department schedule and optimize utilization of services. The role involves granting physicians access to schedules and confirming case sequences the day before procedures to ensure smooth operations.

The scheduler will also handle anesthesia charges, audit nursing data, and contribute to process improvements for computer system conversions.