BI and Analytics

RCM Analytics

Identify relationships that influence Revenue Cycle Management (RCM) outcomes to develop insight-driven actionable management responses.
 

  • Monitor KPI’s including AR value, AR ageing, Denials and Contracts.
  • Drive positive clinical and financial results such as 1st time Right etc.
  • Enhance productivity and bottom line by gaining unprecedented visibility into your Revenue Cycle Management (RCM) with cutting-edge analytics.

Identify relationships that influence business outcomes to develop insight-driven actionable management responses.
 

  • Automate and integrate disparate systems.
  • Drive positive clinical and financial results.
  • Track patient health to monitor care after discharge, and help design future patient care plans.

Call (469) 277-8184 to learn more about our robotic process automation solution for predictive analytics in healthcare.

Business Intelligence and Analytics

Providing Significant Insights Through Data

ExdionRCM uses business intelligence to identify relationships that influence Revenue Cycle Management outcomes to develop insight-driven actionable management responses.

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.

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.

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.

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.

Contact us

Want to know more? Contact us today for a free trial of the revenue integrity solution developed expressly for acute care centers.