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Coding Education and Data Analyst
Career Insights for Data Analyst
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Scorecard
Based on Minnesota data
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$80,265 / year median in Minnesota
+13% projected growth
Job Description
CPT, HCPCS, ICD-10 CM
coding systems and payor policy guidelines.MINIMUM QUALIFICATIONS
Education, Experience or Equivalent Combination:
Must have completed a coding education program or must be a graduate from an associate or bachelor's degree program in health information.Licensure/ Registration/ Certification:
Must have one of the following RHIT (registered health information technician), RHIA (registered health information administrator), or coding certificate.Coding certificates can include:
CCA (certified coding associate), COC (certified outpatient coder), CCS (certified coding specialist), CPC (certified professional coder), CCS-P (certified coding specialist-physician).Knowledge, Skills, and Abilities:
Knowledge in usingCPT, HCPCS, ICD-10 CM
coding guidelines, rules and regulations, anatomy, physiology, basic disease processes and medical terminology Intermediate knowledge of Microsoft Office Suite. Ability to create excel spreadsheets and pivot tables for reporting and data analysis. Must be able to work independently, apply time management and critical thinking skills, and have strong decision-making skills. Must be a highly skilled and experienced coder who can independently research, analyze and understand large amounts of data, identify issues that have financial impact and provide opportunities to improve coding quality. Ability to present information in one-on-one and/or group settings and communicate information in a professional and confident manner. Must have a thorough understanding of revenue cycle stream.PREFERRED QUALIFICATIONS
Education, Experience or Equivalent Combination:
Three years coding experience Epic experience preferred Experience working with online coding resources and other related software programs. Strong E & M coding experienceLicensure/ Registration/ Certification:
N/A Knowledge, Skills, and Abilities:
Ability to present and communicate information in either individual and/or group settings in a professional and confident manner.ESSENTIAL DUTIES
(75%)- Ensures all services provided are accurately documented in the medical record and billed appropriately.
Ex:
Clinician Orientation recorded videos, tip sheets, virtual Q&A, etc. (5%)- Independently performs root cause analysis and oversee volume and dollars for coding denials working directly with third party payors to understand policies and capture appropriate revenues. May provide direction and assistance to the coding teams working denied charges. (5%)
- Provides coding education (HCPCS, ICD-10 CM, DSM5, & CPT) to coders, clinicians, and clinic departments. Works with Compliance Operations to support the annual monitoring work plan. Partners with Diagnosis Accuracy Team to support risk adjustment requirements, diagnosis accuracy tools and collaborate with HealthPartners Health Plan to optimize diagnosis coding. (5%)
- Performs coding quality reviews for coding staff and provides education/feedback in partnership with coding leaders. Leverage EMR technology to create revenue capture solutions or make suggestions on operational changes. (5%)
- Attends coding related meetings (
Ex:
Coding Support Committee), and other department meetings when required and participates in creating/revising coding policies, procedures and/or education materials. Become familiar with clinic department operational processes or practices, and partner on improvement opportunities. (5%)- Performs other duties as assigned.
- Job description rankings/percentages are intended to reflect normal averages over an extended period of time, and are subject to daily variances.