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Datavant

De-identification and linking health data SaaS

Inpatient Audit Specialist PRN

Clinical Support & Patient AdministrationConfirmed live in the last 24 hours
Part-timeRemote in USARemote

About the Job

Requirements

  • At least 5 years of facility inpatient coding experience and/or auditing experience.
  • CCS credential is required; RHIA or RHIT is preferred.
  • Maintain a 95% DRG accuracy rate.
  • Experience with software such as Epic, Cerner, and other prevalent electronic medical records systems.
  • Excellent query-writing skills; spinal experience is a plus.
  • Prefer availability of 20 hours per week.
  • Must be customer-service focused and exhibit professionalism, flexibility, dependability, desire to learn, commitment to excellence, and commitment to the profession.
  • Strong organizational, teamwork, and leadership skills.

Responsibilities

  • Perform inpatient facility coding audits according to scope of work for onboarding, focused reviews, service-level agreements, or other types of reviews, using appropriate code assignment and other coding-related elements with MS-DRGs or APR-DRGs.
  • Provide concise rationale for identified changes, including specific references and documentation locations.
  • Keep abreast of regulatory changes.
  • Organize and prioritize multiple cases concurrently to ensure optimal workflow and turnaround time.
  • Provide coder education through the auditing process.
  • Function in a professional, efficient, and positive manner.
  • Adhere to the American Health Information Management Association’s code of ethics.

Desired Qualifications

  • Spinal experience is a plus.
  • RHIA or RHIT credential is preferred.

About the Company

Datavant

De-identification and linking health data SaaS

Datavant provides software to securely share health data by removing personal identifiers and linking records from multiple sources. Its SaaS platform de-identifies datasets and connects data across hospitals, research centers, pharma, and public health groups for cohesive analysis. It differentiates itself by combining privacy-preserving de-identification with cross-source data linkage in the health sector, supporting interoperability while protecting privacy. Its goal is to enable secure, privacy-friendly exchange of health information to advance research, patient care, and public health.

Company size
5,001-10,000
Company stage
Series B
Total funding
$80.5M
Headquarters
San Francisco, CA
Founded
2017

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