Job Description :
We are seeking skilled Python Developers with strong experience in healthcare RCM (Revenue Cycle Management) automation. The ideal candidates will have a deep understanding of healthcare APIs (such as HL7, FHIR, and EDI 837 / 835) and the ability to design, develop, and maintain automated solutions to optimize RCM workflows.
Responsibilities :
- Develop, test, and maintain Python-based automation solutions for healthcare RCM applications.
- Integrate and interact with various healthcare APIs (HL7, FHIR, EDI, etc.) to facilitate seamless data exchange between systems.
- Collaborate with cross-functional teams (RCM analysts, coding specialists, etc.) to understand automation requirements and develop efficient solutions.
- Build, deploy, and manage scalable and reliable healthcare data processing pipelines.
- Troubleshoot and resolve issues in the automation of RCM processes, ensuring high data accuracy and compliance with healthcare regulations.
- Optimize existing processes and develop new features to improve the RCM automation systems.
- Stay updated on healthcare technology trends, particularly those relevant to RCM and data exchange standards.
Requirements :
Experience : Minimum of 5 years of experience in Python development with a focus on healthcare automation.
Healthcare API Knowledge : In-depth experience with healthcare APIs such as HL7, FHIR, EDI 837 / 835, and other relevant data exchange standards.
RCM Automation : Proven experience in automating complex workflows within the healthcare revenue cycle, including eligibility, claims processing, payments, and denials management.
Integration Skills : Experience integrating with third-party healthcare software (EHR / EMR systems, billing software, etc.).
Problem-Solving : Excellent analytical and problem-solving skills to handle complex data and workflow scenarios.
Communication : Strong verbal and written communication skills to collaborate with technical and non-technical stakeholders.
Preferred Qualifications :
- Experience with Azure cloud platforms and containerization technologies (Docker, Kubernetes).
- Familiarity with machine learning techniques for predictive analytics in RCM processes.
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