Health Information Management Coding Specialist III

Company

NYU Langone Health

Location

USA

Type

Full Time

Job Description

NYU Langone Health is a world-class patient-centered integrated academic medical center known for its excellence in clinical care research and education. It comprises more than 200 locations throughout the New York area including five inpatient locations a children's hospital three emergency rooms and a level 1 trauma center. Also part of NYU Langone Health is the Laura and Isaac Perlmutter Cancer Center a National Cancer Institute designated comprehensive cancer center and NYU Grossman School of Medicine which since 1841 has trained thousands of physicians and scientists who have helped to shape the course of medical history. At NYU Langone Health equity diversity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty staff and students of all identities can thrive. We embrace diversity inclusion and individual skills ideas and knowledge. For more information go to nyulangone.org a nd interact with us on LinkedIn Glassdoor Indeed Facebook Twitter YouTube and Instagram .

Position Summary:
We have an exciting opportunity to join our team as a Health Information Management Coding Specialist III.

In this role the successful candidate Analyzes medical records extracts clinical pathological therapeutic and epidemiologic data for Inpatient and/or Outpatient records in accordance with established ICD-10-CM/PCS and CPT-4 coding principles and guidelines. In addition meets Medical Center Financial Third Party Payer Federal and State regulatory standards.

Job Responsibilities:

    • Demonstrates knowledge of the organizational Vision and Mission statements as well as Goals and incorporates them into the performance of duties.
    • Codes and/or analyzes records of several different account types including Inpatient Outpatient and Rehabilitation
    • Acts as a resource for less experienced coders
    • Responds to inquiries from external customers/departments
    • Analyzing Data-Rehabilitation - Adheres tithe policies and procedures of the Medical Center and department concerning safety rules of conduct etc. as outlined in the Employee Staff Handbook. Seeks guidance as necessary for the performance of duties asks appropriate questions when in doubt and utilizes reference sources/materials to ensure accuracy.
    • Analyzing Data-Inpatient - Reviews and analyzes inpatient medical record documentation from the patients visit. Abstracts pertinent clinical information (i.e. Diagnostic and procedural information) and other related patients and physicians data needed for statistical information. Determines appropriate coding of clinical data in accordance with coding clinic Federal and State Diagnostic Related Groupings (DRGs) classification guidelines and departmental guidelines. Codes clinical information in accordance with ICD-9-CMmethodology.
    • Analyzing Data-Outpatient - Reviews and analyzes outpatient medical record documentation from the patients visit. Abstracts pertinent clinical information (i.e. Diagnostic and procedural information) and other related patient and physician data needed for statistical information. Determines appropriate coding of clinical data in accordance with coding clinic Federal State and departmental guidelines. Codes clinical information in accordance with ICD-9-CM/CPT-4 methodology for patient reporting.
    • Works on special projects as assigned

Minimum Qualifications:
To qualify you must have a Demonstrated proficiency in medical record analysis and ICD-10/CPT-4 coding methodology.
At least one of the following is required: Certified Professional Coder (CPC-P OR CPC-H) OR Certified Coding Specialist (CCS) OR Registered Health Information Technician (RHIT) OR Registered Health Information Administrator (RHIA) OR Certified Outpatient Coder (COC).
Minimum of 5 years coding experience in an acute care hospital collecting classifying coding and reporting clinical data.
Thorough understanding of coding guidelines and ability to use appropriate reference materials.
Demonstrated ability to solve problems work independently and/or additional responsibilities.
Effective communication skills.
Working knowledge of Microsoft Office tools.

Preferred Qualifications:
Bachelors degree in Health Information Management or related field.
Proficiency in more than one area of coding.
Experience using EPIC electronic health record.
Experience using 3M computer assisted encoder.

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Langone Health provides its staff with far more than just a place to work. Rather we are an institution you can be proud of an institution where you'll feel good about devoting your time and your talents.

NYU Langone Health is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race color gender gender identity or expression sex sexual orientation transgender status gender dysphoria national origin age religion disability military and veteran status marital or parental status citizenship status genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU Langone Health's EEO policies please click here . Please click here to view the Federal 'EEO is the law' poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $63935.04 - $82680.00 Annually. Actual salaries depend on a variety of factors including experience specialty education and hospital need. The salary range or contractual rate listed does not include bonuses/incentive differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice please click here

Apply Now

Date Posted

04/04/2024

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