• Data Abstractor and Analyst - Quality/Risk - 854005 - FT

    Job ID
    2018-1990
    Category
    Clinical Licensed
    Job Location
    US-NM-Alamogordo
  • Overview

    The purpose of this position is to perform the abstraction of data from clinical records and comprise the data to meet the requirements of our National Registries for Chest Pain Certification and Cath Lab certification with the Society of Cardiovascular Patient Care and the American College of Cardiology. The data will be submitted to the NCDR registries according to the submission requirements for each of the different registries. The data will also be used for the departmental QA requirements and to submit for the hospital Core Measures.

    Responsibilities

    • Demonstrates knowledge and skills necessary to provide services based on the physical, psychosocial, educational, safety, and other related criteria appropriate population in his/her assigned area
    • Maintains required core competencies.
    • Complies with set Policies and Procedures (i.e. name tag, dress code, parking, smoking, etc.)           
    • Accurately collects and aggregates clinical data for registry submissions, focused professional practice evaluations, performance improvement measures, and internal surveys with oversight of the Director
    • Maintains the data bases for National Registry data submissions and maintains submission schedule.

    Qualifications

    • 4 year college degree required or in progress
    • Current American Heart – Basic Life Support (BLS) card, ACLS preferred or obtain in 6 months
    • Registered nursing professional (RN) or Cardiac professional (CVT) background with minimal of 4 years of experience in the Cath Lab field
    • Must be licensed to practice in the state of New Mexico
    • Computer literate with Windows, Excel, and other processing formats
    • Strong interpersonal skills and ability to work with Cath Lab staff and physician peers and other departments as required
    • Competent in Medical Terminology
    • Statistical Data Analysis experience preferred
    • Performs related responsibilities as assigned.

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