Rialtic04.03.26
AI SCORE 8.5

Healthcare Payment Accuracy Specialist - Remote

$80K–$100K/year

About the Role

We are seeking a dedicated Healthcare Payment Accuracy Specialist - Remote to join our dynamic team. In this role, you will play a crucial part in ensuring the accuracy and compliance of healthcare payments, leveraging your expertise in data validation and revenue cycle management. You will work collaboratively with various stakeholders to enhance payment processes and improve patient care outcomes.

What You'll Do

  • Analyze healthcare payment data to ensure accuracy and compliance with industry standards.
  • Collaborate with cross-functional teams to identify and resolve discrepancies in payment systems.
  • Utilize advanced tools such as Excel and Python for data analysis and reporting.
  • Implement predictive analytics to enhance payment accuracy and efficiency.
  • Assist in the development of policies and procedures related to payment processing and coding.

Requirements

  • 2-5 years of experience in healthcare payment accuracy or a related field.
  • Strong knowledge of medical coding, billing, and revenue cycle management.
  • Proficiency in data analysis tools, including Excel and Python.
  • Experience with telehealth and patient care systems.
  • Excellent communication and collaboration skills.

Nice to Have

  • Familiarity with CI/CD processes and software engineering principles.
  • Experience with Vue.js and TypeScript for web applications.
  • Knowledge of FDA drug labels and compliance standards.

What We Offer

  • Remote work flexibility with a home office stipend.
  • Equity and 401(k) matching.
  • Unlimited PTO and comprehensive health plans.
  • Mental and physical wellness support.
  • Generous contributions to health premiums.
Why This Job8.5 of 10

This Healthcare Payment Accuracy Specialist role offers a unique opportunity to work remotely in the growing HealthTech industry. With competitive pay and excellent benefits, it's a great chance to make an impact.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in data analysis using Python and Excel, with experience in creating data visualizations and dashboards to track payment accuracy metrics.

Strong understanding of medical coding principles and revenue cycle management, with the ability to interpret and analyze complex medical billing data effectively.

Demonstrates a proactive mindset in remote work settings, with excellent time management skills and the ability to independently troubleshoot issues while collaborating with cross-functional teams.

Learning Resources

Data Analysis with Pythoncourse

Career Path

Healthcare Payment Accuracy Specialist(Now)Revenue Cycle Analyst(1-2 years)Healthcare Data Manager(3-5 years)

Market Overview

Market Size 2024
$25B
Annual Growth
12.5%
AI Adoption in Healthcare
45%
Investment in Health Tech
+30%
Labour Demand for Data Analysts in Healthcare
+20%
Avg Salary for Healthcare Data Analysts
$85K

Skills & Requirements

Required
Data AnalysisPythonExcel
Growing in Demand
Machine LearningData Visualization (Tableau, Power BI)Cloud Computing (AWS, Azure)
Declining
Traditional SQL DatabasesExcel VBA

Domain Trends

Increased Use of AI for Payment Accuracy
With AI adoption in healthcare reaching 45%, organizations are increasingly utilizing AI for improving payment accuracy and fraud detection, leading to a 20% reduction in payment discrepancies.
Shift to Telehealth Services
Telehealth services have surged, with a 38% increase in usage post-pandemic, creating a demand for data analysts to assess the financial implications and optimize revenue cycle management.
Integration of Advanced Analytics in Revenue Cycle Management
There is a growing trend towards using advanced analytics in revenue cycle management, with 60% of healthcare organizations investing in data analytics tools to enhance operational efficiency and reduce costs.

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