MIDWEST FAMILY OWNED AND OPERATED SINCE 2014

The future of AI-enabled intelligent revenue management.

Best-practice revenue cycle leaders use healthcare's most advanced AI-Enabled Financial Performance Tools to improve margin, accelerate cash and optimize staff performance.

in numbers

Providers see results with Etyon's data, insights and workflow automation tools.

50+

Healthcare Organizations

40+

Years of Healthcare Expertise

1B+

Data Points Analyzed

$500m+

ROI Driven to Date

A FEW BUSINESS CASES

Revenue Cycle Leakage Stops Here.

Etyon's AI-enabled Financial Performance tools help leaders enhance insights and automation practices in some of the following areas:

Front-Office Denial Prediction

Predict denials prior to service to optimize front-end workflows and increase first pass payment rates.

Accounts Receivable Prioritization

Risk score every clean or denied claim in your accounts receivable every night to ensure appropriate aging policies and resource allocations across work-queues.

Staff Productivity / Touch Optimization

Know exactly how many touches and what cost resources are having on buckets or invoices to ensure optimal follow-up performance.

Order and Referral
Leakage Mining

Automatically find and quantify all order mismatch and missing referral leakage across physicians, services lines and more.

Payment Accuracy and Scorecarding

Determine payment accuracy on mixes of claims, payers, services and denials to ensure accurate and timely reimbursement.

Registration
Leakage Mining

Automatically find and quantify all registration leakage across locations, representatives and payer plans.

Automated Authorization
Status Review

Automatically audit the authorization request and delivery process to ensure all claims have appropriate authorizations prior to service.

POS Patient
Estimate Accuracy

Capture more cash and financially clear more patients prior to billing.

Non-Covered
Leakage Mining

Automatically find and quantify dollars lost through non-covered services and claims management inefficiencies.

Vendor Placement
Recovery Audit

Automatically reconcile and audit claims placed with Vendors to ensure maximum external recovery efforts.

Treasury Reserve
Accuracy

Automatically determine reimbursement and recovery risk to determine accurate and consistent financial reserves.

ED Throughput

Identify optimal discharge times, schedule staff according to acuity, and understand ordering turnaround times.

Start simple, scale to sophistication

Leading the Way to AI-Enabled Revenue Cycle

Drive your revenue cycle to be more dynamic, collaborative, and intelligent with connected data, people and processes.

Data Chaining

Surface valuable insights when you collect, store, and clean your data.

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AI and MLE

Automatically find answers in your data without the need for manual analysis.

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Analytics

Analytics-as-a-service (AaaS) automates 75% of data insights work.

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Smart Workflows

Smarter decision support directly in your Electronic Medical Record.

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Information is Everything.

Strategic
Data Management and Quality Control in RCM
In healthcare, managing revenue cycles is crucial to the financial stability of a medical organization. It involves managing patient billing, insurance claims, and payment collection. To effectively manage revenue cycles, healthcare organizations must integrate data from various sources and ensure data quality control. In this article, we will explore the importance of data integration and quality control in revenue cycle management in healthcare.
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Strategic
Data Science in Revenue Cycle Management
In recent years, data science has become increasingly important in healthcare. One area where it has shown great potential is in revenue cycle management (RCM). RCM is the process of managing a patient's financial interaction with healthcare providers. This includes everything from verifying insurance coverage to collecting payments for services rendered. Data science can help healthcare organizations improve RCM by analyzing data to identify trends, predict outcomes, and optimize processes.
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Strategic
Artificial Intelligence and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) are increasingly being used in the healthcare industry to improve revenue cycle management. AI and ML can analyze large amounts of data, identify patterns and trends, and make predictions about future revenue cycle performance. This can help healthcare providers make more informed decisions and take proactive steps to improve revenue cycle management.
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Partners say

Don’t take our word for it - hear from your provider peers

"We're now working the right accounts at the right times to where our timely filing write-offs reduction have drastically reduced and that's great."

AVP RCM

"When you combine amazing technology with folks that know revenue cycle challenges inside and out, you get tremendous results."

Lab Director

" I knew we had denial challenges, but could never uncover them as quickly as Etyon's solutions allows us to without all the effort."

Director Process Improvement

AI-Enabled financial performance tools

Still curious? Start your free month today.