Stout

Stout

Analyst, Healthcare Medical Coding - Disputes, Claims & Investigations

Chicago, IL, United States of America

Sponsorship not specified$60k-$130kDetected 51 days ago
Data VisualizationComplianceExcelAuditingHIPAAICD-10LeadershipCommunicationProblem SolvingMentoringAdaptabilityMicrosoft Office

About the role

  • Both our client service and culture are second to none, stemming from our firmwide embrace of our core values: Positive and Team-Oriented, Accountable, Committed, Relationship-Focused, Super-Responsive, and being Great communicators.
  • Sound like a place you can grow and succeed?
  • Read on to learn more about an exciting opportunity to join our team.

Responsibilities

  • Here, you'll find the core responsibilities and day-to-day duties of the role. These tasks are designed to help you achieve desired outcomes while supporting team and organizational goals.
  • Assist in audits, regulatory reviews, and litigation support by gathering evidence, analyzing issues, and contributing to reporting.
  • Collaborate with internal teams, clients, and legal counsel to support engagement objectives.
  • These tasks are designed to help you achieve desired outcomes while supporting team and organizational goals.
  • Deliver high-quality, accurate coding analysis that informs client decisions, regulatory responses, and litigation support.
  • Support the development of defensible findings and recommendations through detailed documentation and analysis.
  • We foster a culture of inclusion and respect, embracing diverse perspectives and experiences to drive innovation and success.
  • They represent typical elements and criteria necessary to successfully perform the job.

Requirements

  • Active coding credential required (CCS, CIC, RHIT, or RHIA).
  • Analytical and Detail-Oriented: Ability to interpret complex clinical and coding data and draw well-supported conclusions.
  • Stout is required by applicable state and local laws to include a reasonable estimate of the compensation range for this role.
  • This section details the skills, qualifications, and experience needed to excel in the role.
  • Bachelor's degree in Health Information Management or related field (or equivalent experience).
  • Minimum of five (5) years of recent acute-care inpatient facility coding experience.
  • Knowledge of MS-DRG, APR-DRG, APC methodologies and reimbursement frameworks.
  • Experience reviewing clinical documentation for accuracy, compliance, and reimbursement optimization.
  • Familiarity with healthcare regulatory frameworks (e.g., CMS, HIPAA, False Claims Act).
  • Strong analytical, problem-solving, and written/verbal communication skills.
  • How You'll Thrive
  • This section highlights the competencies and behaviors that will set you up for success in this role and align with Stout's culture.

Nice to have

  • Strong experience with DRG and PCS coding, including auditing
  • denials experience preferred.
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint)
  • experience with data visualization tools is a plus.

Compensation

  • A reasonable estimate of the current range is $60,000.00 - $130,000.00 Annual.

Benefits

  • At Stout, we offer a comprehensive Total Rewards program with competitive compensation, benefits, and wellness options tailored to support employees at every stage of life.
  • Stout provides flexible work schedules and a discretionary time off policy to promote work-life balance and help employees lead fulfilling lives.
  • Learn more about our benefits and commitment to your success.
  • https://www.stout.com/en/careers/benefits
  • The range for this role considers several factors including but not limited to prior work and industry experience, education level, and unique skills.
  • This role is also anticipated to be eligible to participate in an annual bonus plan.
  • Perform detailed reviews of inpatient medical records to assess accuracy of ICD-10-CM/PCS coding and alignment with clinical documentation.

This listing is sourced directly from Stout's careers page and normalized into a canonical job model.