Senior HIM Analyst & QC Data Integrity Auditor

Job Description

Education: Associate degree in Health Information Management OR equivalent HIM experience.

• Experience: Five (5) years medical record experience.
• Licenses, Certifications and/or Registrations: Credentialed in Health Information

Management as an RHIT or CCS preferred

• Equipment/Tools/Work Aids: Specialized computer software; limited telephone, fax or copier use
• Specialized Skills: Demonstrated ability to scan, index, analyze, and audit inpatient/outpatient/Emergency Department, etc. records. Ability to read and write and follow oral and written instructions. Ability to form effective working relationships with other employees, management, physicians and other customers. In-depth knowledge of healthcare regulations (HIPAA, HITECH) and standards (AHIMA, AHA). Proficiency in electronic health records (EHR) systems and data management software. Strong analytical skills and attention to detail.
• Physical Requirements: Manual dexterity and visual acuity necessary to utilize the

PC and review charts; visual acuity is also necessary for filing and proofing documents.

Ability to sit for prolonged periods of time. Verbal communication and hearing ability

to communicate with a multitude of customers; routine lifting of approximately 15

pounds. The ability to meet the attendance requirements of the job.

Requirements

Conducting quality control audits and ensuring the accuracy, completeness, and integrity of health information data within our electronic health record (EHR) systems. This role requires strong analytical abilities, knowledge of HIM practices, and a commitment to maintaining data quality and compliance with regulatory standards. Responsible for ensuring the accuracy, completeness, and compliance of health information management (HIM) data within our organization including conducting quality control audits, performing data integrity assessments, and developing strategies to optimize data management processes. Collaborate closely with various departments to implement best practices for maintaining high standards of data accuracy and integrity. Instrumental in identifying areas for improvement and implementing corrective actions to enhance overall data quality.