Full-Time
R1 RCM
10,001+ employees
Revenue cycle management solutions for healthcare
No salary listed
Expert
Noida, Uttar Pradesh, India
- Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience)
- 10 years of experience as a Data Architect, Cloud Architect, or in a similar role
- Expertise in cloud platforms such as Azure
- Strong understanding of data architecture concepts and best practices
- Proficiency in data modeling, ETL processes, and data integration techniques
- Experience with big data technologies and frameworks (e.g., Hadoop, Spark)
- Knowledge of containerization technologies (e.g., Docker, Kubernetes)
- Familiarity with data warehousing solutions (e.g., Redshift, Snowflake)
- Strong knowledge of security practices for data in the cloud
- Excellent problem-solving and troubleshooting skills
- Effective communication and collaboration skills
- Ability to lead and mentor technical teams
- Collaborate with cross-functional teams, including data engineers, data leads, product owner and stakeholders, to understand business requirements and data needs
- Design and implement end-to-end data solutions on cloud platforms, ensuring high availability, scalability, and security
- Architect delta lakes, data lake, data warehouses, and streaming data solutions in the cloud
- Evaluate and select appropriate cloud services and technologies to support data storage, processing, and analytics
- Develop and maintain cloud-based data architecture patterns and best practices
- Design and optimize data pipelines, ETL processes, and data integration workflows
- Implement data security and privacy measures in compliance with industry standards
- Collaborate with DevOps teams to deploy and manage data-related infrastructure on the cloud
- Stay up-to-date with emerging cloud technologies and trends to ensure the organization remains at the forefront of data capabilities
- Provide technical leadership and mentorship to data engineering teams
- Bachelor’s degree / Master's degree in Data Science, Computer Science, or related field
- Relevant cloud certifications (e.g., Azure Solutions Architect) and data-related certifications
- Experience with real-time data streaming technologies (e.g., Apache Kafka)
- Knowledge of machine learning and AI concepts in relation to cloud-based data solutions
R1 RCM provides Revenue Cycle Management (RCM) solutions to healthcare providers, including hospitals and physician groups. The company uses technology to streamline financial and administrative processes, helping clients manage patient service revenue more effectively. R1 RCM stands out by focusing on reducing administrative burdens, allowing healthcare providers to prioritize patient care. The goal is to enhance patient experiences and improve financial performance for healthcare organizations.
Company Size
10,001+
Company Stage
IPO
Headquarters
Murray, Utah
Founded
2003
Simplify's Take
What believers are saying
- R1 RCM's R37 AI Lab aims to transform healthcare financial performance.
- The shift to value-based care models creates opportunities for RCM solutions.
- Increased telehealth adoption drives demand for efficient RCM solutions.
What critics are saying
- Inconsistencies in turnaround times may affect client satisfaction.
- The acquisition may lead to strategic shifts impacting client relationships.
- Integration of Palantir's AI tools may face alignment challenges with existing systems.
What makes R1 RCM unique
- R1 RCM specializes in end-to-end Revenue Cycle Management for healthcare providers.
- The company integrates AI to enhance accuracy and efficiency in RCM processes.
- R1 RCM offers performance-based contracts, aligning incentives with client financial outcomes.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Performance Bonus
Professional Development Budget
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%That's why R1 RCM Inc. launched R1 Provider Edge, an education and insights program designed to support its clients' financial success and the professional growth of their revenue cycle employees.
With patients directly responsible for more and more of their medical costs, R1 is thrilled to introduce R1 Early Out to help healthcare providers reshape and improve patient financial engagement.
Jennifer Weinberg, MD, Physician Advisor and Vice President of Operations, R1While artificial intelligence (AI) can automate many functions within the middle revenue cycle, there remains a need for human expertise to manage complex, nuanced decisions to ensure high accuracy and proper context. Ultimately, AI should complement – not replace – humans to drive greater efficiency without compromising quality. In revenue cycle management (RCM), the middle cycle refers to the phase between the front end, which is patient access and care delivery, and the back end, which encompasses billing and reimbursement. During the middle revenue cycle, the focus is generally on capturing patient data, documenting clinical procedures and treatments, and ensuring compliance with regulatory standards. The greatest challenge associated with middle RCM is often translating the language of a clinical encounter into the vocabulary of the revenue cycle. When it goes wrong, the result may be reimbursement delays, claim denials, and an unsatisfactory patient experience. However, by combining what humans and AI do best, providers can optimize management of the middle revenue cycle. Humans and AI: Combining strengthsIn the medical field, humans excel at solving problems that require nuanced, complex judgment and interpretation, often informed by prior experiences. In contrast, AI performs well in executing consistent, repeatable, routine tasks that often involve combing through massive amounts of data to identify outliers
By integrating Palantir's AI tools and capabilities with R1's existing technology and domain expertise, R37 can unlock faster, more precise scalable reimbursement outcomes.
EP Wealth Advisors LLC makes new $168,000 investment in R1 RCM Inc. (NASDAQ:RCM).