University of Mississippi Medical Center

University of Mississippi Medical Center

Patient Scheduler

Ridgeland, MS · Full-time

Sponsorship not specifiedDetected 3 days ago
HRCustomer SupportCommunication

Stay score

odds of building a lasting career here

88Lottery-free
Cap-exempt (no lottery)100
Sponsors year-round90
Entry-level history60
PERM / green-card track50
Fits your clock70

Files H-1B any time — no cap, no lottery. The 2026 weighted-selection rule doesn't touch it, which makes this the strongest structural path for entry-level talent. Pay is often lower, but your odds of staying are dramatically higher.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 11 green-card filings in this occupation, 100% were for a worker who already held the job.

States it is exempt from the H-1B cap

In 11 Department of Labor filings, this employer states it is an institution of higher education — one of the statutory grounds for exemption from the H-1B cap. Cap-exempt employers can file year-round without entering the lottery.Employer's own attestation on a Department of Labor wage determination, not a USCIS determination — exemption is decided per petition.

Green-card follow-through: 60%

Of 10 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 511 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

9 transfer filings in the last year, covering 9 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Pre-registers all new patients scheduling appointments with 95% accuracy.

Responsibilities

  • Maintains current knowledge of patient scheduling software, ARGs (Appointment Request Guidelines) for the providers they schedule, and standard operating procedures for pre-registration and patient appointment scheduling.
  • Obtains demographic data for the referring physician when a patient is scheduled, including the reason for the visit, and documents this information.
  • Coordinates provider schedules to optimize patient access, enhance customer service, and support efficient business operations.
  • Handles the pre-registration process using practice management software to ensure accurate patient information and manage referrals, authorizations, and certifications as needed.

Requirements

  • You can only apply one time to a job requisition.
  • Please ensure you have all required attachment(s) available to complete your application before you begin the process.
  • Applications must be submitted prior to the close of the recruitment.
  • Certifications, Licenses, or Registration required:
  • Ability to work in a team environment.

Skills

  • Knowledge of office procedures.
  • Verbal and written communication skills.
  • Skill in the use of computers and relevant software applications.
  • Interpersonal skills.
  • Knowledge, Skills & Abilities
  • Knowledge, Skills, and Abilities:

Benefits

  • Verifies patients' insurance electronically or by phone to ensure coverage is active and informs patients of their expected payment at the time of service.

Company info

  • Due to the large volume of applications, we are unable to individually respond to all applicants.

This listing is sourced directly from University of Mississippi Medical Center's careers page and normalized into a canonical job model.