Clinical Navigator​/RN Rehab Therapies

Join our team as a day shift, full-time, Rehab Therapies Administartion Clinical Navigator Registered Nurse in Topeka, Kansas.

• Thrive:
  We empower our team with career growth opportunities, tuition assistance, and resources that support your wellness, education, and financial well-being.
• People-First:
  We prioritize your well-being with paid time off, comprehensive health benefits, and a supportive, inclusive culture where you are valued and cared for.
• Make Healthcare Better:
  We use advanced technology to support our team and enhance patient care.

• The University of Kansas Health System St. Francis Campus, a part of a rich legacy of compassionate care since 1909, now offers 378 licensed beds, a history of innovation, and strong community support.

• Responsible for planning, developing, and overall coordination of activities that support the Prospective Payment System (PPS) process for the Inpatient Rehabilitation Unit.
• Assures compliance with all State and Federal requirements related to and oversees the accuracy and timely completion/transmission of the Inpatient Rehabilitation Facility-Patient Assessment Instrument (IRF-PAI).
• Coordinates staff education and training related to scoring and documenting observations of Care Tool. Reports to Director of Inpatient Rehabilitation Services.

Job Requirements:

• Associate Degree in healthcare discipline.
• 2+ years of clinical experience.
• Current license in healthcare discipline: RN, PT/PTA, OT/OTA, SLP, SW.
• Basic computer skills including word processing, spreadsheets, and familiarity with web based software applications.
• BLS certification must be obtained within 14 days of hire or transfer into the role and prior to providing direct patient care.

Preferred

Job Requirements:

• 5+ years of clinical experience on inpatient medical setting
• Previous IP Rehabilitation Services experience
• Experience with computer applications including Microsoft Office
• Knowledge of Medicare Prospective Payment System
• Knowledge of ICD-10 coding, CMG classification, and IRF-PAI