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The University of Kansas Health System

Infection Prevention Surveillance Specialist

4000 Cambridge Street, Kansas City, KS 66160

Full-time

First seen by offpeak October 13, 2026

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Position Title

Infection Prevention Surveillance Specialist

Rainbow 3950

Position Summary / Career Interest:

The role of the Infection Prevention Surveillance Specialist integrates Infection Prevention and Control (IPAC) clinical knowledge with computer and information technology sciences to collect, aggregate, analyze, and distributes Infection Prevention and Control data that is internally and externally reported. This role supports the IPAC Department with electronic medical record software support systems, ensures data quality and data integrity of all surveillance activities, provides ongoing education and workflow support for members of the IPAC team, and participates in daily improvement work to reduce hospital acquired infections and organism transmission. The IP Surveillance Specialist supports the IPAC team in presenting and disseminates meaningful reports to all levels of the organization across the system to support decision making and continuous improvement. This person will perform comprehensive gap analyses, ensure reliability and usability of all data management systems, evaluate and modify policies and procedures, and support implementation of evidence-based practices supporting a culture of continuous quality improvement to meet national best practice standards representative of the organization's vision to lead the nation in caring, healing, teaching and discovering.

Portfolio responsibilities include: Infection Surveillance, Project Management, Data Standards, Health Data Analytics, Publicly Reported Outcomes and Programs, Performance Improvement, Patient Safety

Responsibilities and Essential Job Functions
Required Education and Experience
Preferred Education and Experience
Required Licensure and Certification

Time Type:

Full time

Job Requisition ID:

R-58550

Important information for you to know as you apply:

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