
Healthcare Insurance • SaaS • Enterprise
Ensemble Health Partners is a leading provider of revenue cycle management (RCM) services for healthcare organizations. They offer an end-to-end RCM solution that helps hospitals, health systems, and affiliated physician groups optimize their revenue cycles, reduce denials and underpayments, and enhance patient experiences using a combination of expert management and advanced technology. Ensemble Health Partners leverages certified operators and AI to deliver consistent results, improve collections, and support future growth for healthcare providers. They are recognized for their robust client partnerships and commitment to delivering reliable revenue lift and cost savings for their clients.
5001 - 10000 employees
⚕️ Healthcare Insurance
☁️ SaaS
🏢 Enterprise
💰 Private Equity Round on 2022-03
November 4

Healthcare Insurance • SaaS • Enterprise
Ensemble Health Partners is a leading provider of revenue cycle management (RCM) services for healthcare organizations. They offer an end-to-end RCM solution that helps hospitals, health systems, and affiliated physician groups optimize their revenue cycles, reduce denials and underpayments, and enhance patient experiences using a combination of expert management and advanced technology. Ensemble Health Partners leverages certified operators and AI to deliver consistent results, improve collections, and support future growth for healthcare providers. They are recognized for their robust client partnerships and commitment to delivering reliable revenue lift and cost savings for their clients.
5001 - 10000 employees
⚕️ Healthcare Insurance
☁️ SaaS
🏢 Enterprise
💰 Private Equity Round on 2022-03
• Build solutions using LLMs/ Gen AI / AI / ML. • Conduct thorough analysis of healthcare revenue cycle processes, including patient registration, prior authorization, billing, coding, claims processing, payment posting, and AR follow up. • Identify areas of inefficiency within the revenue cycle and develop data-driven recommendations for process improvement. • Work on multiple work-streams including data manipulation, automation and analyzing large data sets to find useful relationships, trends and generate ideas that impact overall profitability of the business. • Analyze data to create opportunity / impact estimates, detailed process maps, root cause analysis, identify and prioritize potential solution options, prioritize optimizations / automations. • Collaborate with stakeholders to brainstorm opportunities, gather and document business requirements. • Perform in-depth data analysis to identify trends, patterns, and opportunities for revenue optimization and cost reduction. • Prepare and present executive summaries to stakeholders, conveying complex data in a clear and actionable manner. • Oversee and manage deliverables from other data analysts. • Develop performance metrics and KPIs to track revenue cycle performance and measure the effectiveness of proposed solutions. • Collaborate with other technology teams to design, implement, and test technology solutions that enhance revenue cycle operations.
• 4-7 Years of experience. • Strong experience in LLMs/ Gen AI / AI / ML. • Proficiency in data analysis tools and techniques, such as SQL, Advanced Excel, Python. • Excellent analytical skills with the ability to interpret complex data sets and derive meaningful insights. • Strong problem-solving abilities, with a focus on identifying root causes and proposing effective solutions. • Exceptional communication skills, both written and verbal, with the ability to effectively present complex information to stakeholders at various levels of the organization. • Detail-oriented and highly organized, capable of managing multiple projects and priorities simultaneously. • Ability to make effective independent decisions.
• Health Benefits and Insurance Coverage for family and parents. • Accidental Insurance for the associate. • Term Insurance for the associate. • Company Swags- Welcome Packages, Work Anniversary Swags. • Professional Development Program and Reimbursements.
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