Ochsner LSU Health System NL

Ochsner LSU Health System NL

Polysomnographic Technologist

Shreveport - North Louisiana Region - Louisiana

Sponsorship not specified$20k-$50kDetected 5 days ago
Pharmacy PracticePatient CareCommunicationProblem Solving

About the role

  • This job provides comprehensive evaluation and treatment of sleep disorders which may involve polysomnography, diagnostic and therapeutic services or patient care and education.
  • This job description is a summary of the primary duties and responsibilities of the job and position.
  • It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities.

Requirements

  • Other related duties as required.
  • They are not an exhaustive list of all required responsibilities, duties, and skills.
  • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

Nice to have

  • Current certification as a Registered Polysomnographic Technologist (RPGST), Sleep Disorder Specialist (SDS) or Registered Sleep Tech (RST)
  • Required - Licensed as a Registered Polysomnographic Technologist in the state of practice
  • Must have computer skills and dexterity required for data entry and retrieval of patient information.
  • Must be proficient with Windows-style applications and general computer equipment.
  • Effective verbal and written communication skills and the ability to present information clearly and professionally to varying levels of individuals throughout the patient care process.
  • Gathers and analyzes patient information in order to identify and meet the patient-specific needs.
  • Prepares and calibrates equipment required for testing.
  • Sets up patient for testing according to accepted published standards.

Skills

  • Knowledge Skills and Abilities (KSAs)
  • Strong analytical and problem solving skills

Compensation

  • $20k-$50k

This listing is sourced directly from Ochsner LSU Health System NL's careers page and normalized into a canonical job model.