We Make Healthcare Realize Excellence

Revenue Integrity

Drive success cusing cutting edge technology

ExdionRCM Revenue Assurance strategy uses cutting edge technology to help healthcare providers stop revenue leakages and collect payments while improving the overall patient experience. Our method is straight forward: we use Lean, Six Sigma, and Service Quality frameworks to standardize processes, systems, and employee practices. We then implement Artificial Intelligence automation tools to reduce manual workflows and improve operational efficiency.

Use Our Strategy to Help

Effectively collect out-of-pocket expenses including patient dues and Balance After Insurance

Improve billing transparency to reduce patient frustration

Deliver an overall superior patient experience

Revenue Cycle Management

Predict Better. Colloect More. Collect Faster.

The claims process – any part – doesn’t need to be challenging, lengthy, painful or filled with the potential for error. Instead, companies can quickly and cost-effectively replace repetitive tasks and streamline processes by using an automated solution that benefits both providers and payers. That solution is Robotic Process Automation (RPA).

RPA is easy to implement and highly scalable.  It can efficiently perform any routine, rule-based task and easily transform the entire billing process.  Specific ways that RPA can help combat accounts payable and accounts receivable process challenges include:

Efficiency

Automation eliminates tasks most prone to human error, freeing staff to focus on high-value work and on customer service. In addition, RPA works 24/7/365 and is accurate, scalable, and consistent both in output and performance. The robot doesn’t get distracted or tired, and it isn’t influenced by outside factors.

 

Identification

RPA can help identify healthcare claims that don’t meet stipulated requirements, detecting any patterns and reducing chances of occurrence. It facilitates claims review by preventing claim denials and/or correcting them for payment which in turn saves time, effort, and cost. The robot deals with facts and it likes data.

Notification

Patients can be notified of what they owe, payments collected, and accounts settled – all through automation. RPA offers quick, reliable, and consistent service. It doesn’t get emotional and makes sure the work is completed.

Five Ways to Benefit from an ExdionRCM Transformation

  1. Standardized workflow
  2. Reduced manual processes and error-prone systems
  3. Work completed 24/7/365, improving the payer and patient experience
  4. Revenue maximization with reduced possibility of unpaid Accounts Receivable
  5. Automated, highly scalable technology without high expenditures or complex integrations

RCM & HMS Integration

Significant gains through simplification

Healthcare service providers can realize significant gains via seamless integration of their Revenue Cycle Management (RCM) and Healthcare Management System (HMS). Patient diagnostic reports, patient prescription reports, doctor’s profiles, coder’s profiles, and more can all be linked through artificial intelligence (AI) and application programming interfaces (APIs) to completely integrate and automate patient profiles with transcription and coding activities. This results in improved service delivery excellence, reduced manpower costs, and elimination of duplications and errors

Analytics

Providing Significant Insights Through Data

In today’s data-driven age, analytics play a prominent role in making educated, effective clinical and diagnostic support decisions. With a wide range of applications ranging from early detection of critical diseases and deep insight into health conditions and trends, predictive and patient data analytics provide a new level of educated awareness. This in turn helps caretakers to provide personalized care, reduce healthcare costs, manage patient health, and improve overall patient engagement.

ExdionRCM’s Analytics helps organizations identify the type of relationships that influence business outcomes and to develop actionable management responses – all insight driven. Examples include:

  • Using RPA to extract data from patient portals to monitor care after discharge and help design future patient care plans. Consistent and 24/7/365.
  • Tracking patient health on an ongoing basis using information retrieved from wearables, lab results, and health-related applications.

With predictive analytics, this type of data can ensure that patient treatment is personalized the first time that they are admitted and reduces the chance of costly readmissions. In a value-based market, such benefits are much desired.

Features

RPA tools automate and integrate disparate systems

Proprietary bots with extended learning and NLP capabilities that are easy to code, deploy, and scale

Seamless integration with existing systems and applications

Fallout escalation to supervisors

Proprietary Automation for Managing Health:

Managing patient population health requires a proactive approach that simpler data analytics programs built into electronic health record systems simply can’t provide. The ExdionRCM proprietary automation tools access clinical data, enabling the solution to extract relevant information that enhances patient care and automate select processes for improved efficiency.Our predictive analytics solutions offer research-driven data science, clinical actions, and demonstrable results to deliver maximum value.

  • Holistic data management including intake, characteristics, interactions, and overall data quality
  • Insight generation and modelling such as visual maps and data density charts showing outliers and anomalies
  • Segmentation, classification, regression, and forecasting models

Why Do I Need Predictive Analytics?

Many healthcare organizations struggle to understand how predictive analytics can be effectively used to drive positive clinical and financial results. Here are a few:

  • Improve patient safety, increase operational efficiency, and boost patient satisfaction
  • Reduce patient length of stay
  • Lower chance of readmission
  • Improve healthcare resource allocation
  • Predict emergency department visits and hospital admissions
  • Reduce manual tasks, time, and effort