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AKASA

Healthcare RCM automation using AI

Clinical Database - Multiple Teams

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

About the Job

Requirements

  • A bachelor's or master's degree in nursing is required.
  • An RN license and CCDS credential are required.
  • At least 5 years of experience as a leader in Coding and/or CDI departments within the revenue cycle, or experience in a consulting or project management capacity, is required.
  • Concurrent and retrospective CDI review experience in both inpatient and outpatient settings is required.
  • Quality assurance, documentation, or training experience is required.
  • Strong analytical, research/data science, and project management skills are required.
  • Current credentials from AHIMA, AAPC, or ACDIS are required.
  • Business, management, or a similar field and/or relevant experience is preferred.

Responsibilities

  • Work cross-functionally across strategy, engineering, and marketing to appraise and optimize clinical foundations within the company.
  • Independently analyze clinical cases and consider clinical databases.
  • Design and test digital experiments alongside an engineering team.
  • Work with and develop internal tooling to solve problems.
  • Develop Revenue Cycle training specification documents for internal and customer-facing settings.
  • Work with Product Managers to develop and execute against timelines and deliverables.
  • Refine product development with internal teams and client partners.
  • Interface with the RCO team to complete client Proof of Concept exercises and Spec Validations.
  • Manage resources assigned for project-related work.

Desired Qualifications

  • Experience with Plan-Do-Study-Act (PDSA) process improvement cycles or nursing informatics research is a strong plus.

About the Company

AKASA

Healthcare RCM automation using AI

AKASA automates Revenue Cycle Management in healthcare using computer vision-based Robotic Process Automation, machine learning, and human-in-the-loop workflows. It analyzes clinical and administrative documents, extracts data, applies ML to classify or decide, and uses RPA to carry out tasks within existing healthcare IT systems, with humans reviewing uncertain outcomes to ensure accuracy. This end-to-end solution is tailored to healthcare and has demonstrated real-world impact, such as a $30 million gross yield increase for Methodist Health System. The goal is to help healthcare organizations improve revenue, increase efficiency, and enhance the patient experience by scaling automated RCM workflows with measurable financial results.

Company size
201-500
Company stage
Series C
Total funding
$205M
Headquarters
South San Francisco, CA
Founded
2018

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