Regional MDS Leader & Reimbursement RN (Travel 80-90%)

Signature HealthCARE, LLC; Tennessee; Hybrid; USD 90,000 - 125,000; Full time

Benefits offered by this job

Medical, Dental & Vision Coverage

401(k) & Roth 401(k)

Paid Time Off

Tuition Reimbursement

Job summary

Signature HealthCARE is seeking a Clinical Reimbursement Specialist with RN licensure and extensive LTC/MDS experience to support resident care programs and reimbursement workflows. This role requires travel to multiple sites four days a week with one remote day, ensuring compliance with RAI, PPS, and QM standards.

The ideal candidate will be detail-oriented, organized, self-motivated, and able to train stakeholders while maintaining autonomy.

Qualifications

• Current licensure as a Registered Nurse with ability to obtain multi-state licensures.
• Minimum of five (5) years related experience as a licensed Registered Nurse in a long-term care setting.
• MDS Experience in LTC in the past two (2) years.
• Willing to travel eighty to ninety percent (80% - 90%) travel with overnight stays.

Responsibilities

• Assist with systems development and implementation of programs that apply to the Resident Assessment Instrument (RAI), Prospective Payment Systems (PPS), Quality Measures (QM’s), Medicaid Casemix and Medicare/Medicaid guidelines for all SHC Stakeholders.
• Assist with design and presentation of RAI, PPS, Quality Measures, Medicare and Medicare education utilizing various types of media, technology, workshops, classes, and one on one.
• Conduct facility site visits to orient new MDS Coordinators as well as to evaluate and reinforce RAI/MDS/PPS processes.

Skills

RN licensure

Multi-state licensure

Long-term care experience

MDS knowledge

Job description

Signature HealthCARE is seeking a Clinical Reimbursement Specialist with RN licensure and extensive LTC/MDS experience to support resident care programs and reimbursement workflows. This role requires travel to multiple sites four days a week with one remote day, ensuring compliance with RAI, PPS, and QM standards.

The ideal candidate will be detail-oriented, organized, self-motivated, and able to train stakeholders while maintaining autonomy.