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Machinify

AI-driven healthcare operations optimization platform

DRG Quality Assurance/Training Manager

Clinical Support & Patient AdministrationConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in nursing with an active, unrestricted license, health information management, or health administration is required; work experience may be considered in lieu of formal education at leadership discretion.
  • At least one of the following certifications is required: Registered Health Information Administrator, Registered Health Information Technician, Certified Clinical Documentation Specialist, Clinical Documentation Improvement Practitioner, Certified Coding Specialist, or Certified Inpatient Coder.
  • At least 5 years of experience in healthcare billing and coding.
  • At least 3 years of inpatient claims auditing, quality assurance, or recovery auditing experience, and/or inpatient Clinical Documentation Integrity experience.
  • Previous supervisory experience is required.
  • Experience in production and team management.
  • Experience conducting training for clinical or coding staff.
  • Experience with readmission reviews.
  • Experience sharing DRG audit process knowledge with sales, marketing, and development teams.
  • Expertise in DRG methodologies and classification systems, including MS-DRG, APR-DRG, and AP-DRG.
  • Expertise in ICD-10-CM/PCS coding, UHDDS definitions, Official Coding Guidelines, and AHA's Coding Clinic Guidelines.
  • Expertise in DRG validation, including in-depth knowledge of clinical criteria and documentation requirements to support code assignments.
  • A deep understanding of Medicare and Commercial coding rules, regulations, and prospective payment systems.
  • Ability to apply critical judgment in clinical and coding determinations.
  • Experience using data and insights, including independently structuring and executing complex analyses.
  • Ability to provide clear, actionable feedback and coach staff to improve performance.
  • Strong organizational and time-management skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently with minimal supervision and collaboratively in teams.
  • Experience working with multiple monitors.
  • Proven success in a remote working environment.
  • Proficiency in Windows office systems, including the full Microsoft Suite and Teams.
  • Advanced skills in Microsoft Office, including Excel, PowerPoint, and Word.
  • Experience with various software applications and collaboration with development teams.

Responsibilities

  • Lead the DRG QA/Trainer team by setting goals, assigning and prioritizing audit and training work, and coordinating daily activities.
  • Provide guidance, counsel, and development plans to support the long-term retention and professional growth of QA/Trainer staff.
  • Communicate priorities, updates, and expectations through regular one-on-one and team meetings.
  • Monitor individual and team results to ensure audits and training are completed on time and in accordance with department standards.
  • Own the QA audit program for new and existing DRG Reviewers, ensuring accuracy, compliance, and alignment with established coding and clinical validation guidelines.
  • Review QA/Trainer audit findings for consistency and calibrate the team on audit criteria and feedback.
  • Ensure DRG Reviewers receive constructive, detailed feedback that highlights areas for improvement and recognizes high-performance results.
  • Identify problems and trends in audit results, determine root causes, and implement corrective action plans.
  • Collaborate with leadership to drive continuous improvement in audit accuracy, workflow efficiency, and reviewer performance.
  • Partner with the educator to plan and deliver new-hire training on DRG methodologies, clinical validation, and proprietary tools.
  • Oversee ongoing training for existing staff, focusing on policy updates, skill development, and performance enhancement.
  • Direct the development and maintenance of training materials and resources, using audit trends to target content where needed.
  • Evaluate the effectiveness of training sessions and adjust content based on quality results.
  • Develop departmental QA policies, processes, and training standards.
  • Maintain comprehensive documentation of audit findings, feedback sessions, and training activities.
  • Provide reports on key performance indicators, including quality scores, audit outcomes, and training effectiveness, on a predetermined schedule.
  • Set timelines, communicate progress, track delivery, and escalate roadblocks or dependencies.
  • Work with DRG Managers and the DRG Clinical Educator to ensure training and QA processes align with company standards and objectives.
  • Serve as an expert resource for DRG Reviewers, QA/Trainers, and other staff, answering questions and offering guidance on complex cases or procedures.
  • Provide internal and external partners with evidence and references supporting industry standards, auditing guidelines, and review stances.
  • Collaborate with operations, product, data analytics, and technology teams to recommend process and solution improvements based on QA findings.
  • Assist with research, special projects, and ad hoc claim reviews as needed.
  • Perform other duties as assigned.

Desired Qualifications

  • An active, unrestricted nursing license is preferred.
  • Familiarity with Milliman and InterQual guidelines.

About the Company

Machinify

AI-driven healthcare operations optimization platform

Machinify uses artificial intelligence to optimize decision-making in healthcare. It provides AI-driven applications that improve operational efficiency for health plans, payers, and providers, acting as a central nervous system to manage data-driven decisions. Its products streamline processes like claims processing and utilization management by deploying a growing portfolio of applications on the Machinify platform, designed for fast implementation and immediate ROI. Differences from competitors include an AI-first platform tailored to healthcare administration, a rapid deployment model, and a customer-focused approach that aims to deliver tangible results quickly. The company’s goal is to transform healthcare administration by reclaiming control over healthcare expenditures and improving efficiency and patient outcomes through data-driven decisions.

Company size
1,001-5,000
Company stage
Series A
Total funding
$15.6M
Headquarters
Palo Alto, CA
Founded
2016

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