Analytics Explorer™

An interactive data discovery solution for healthcare organizations that want to predict, model, and measure best practices to optimize outcomes under value-based reimbursement.

Drive Performance Improvement

Predict, model and measure best practices to help you optimize your outcomes. Interactive business intelligence scorecards and dashboards let you explore your data.

Drive rapid cycle improvement with improved transparency across the organization. Responsive, drag-and-drop interface can speed training and lead to a rise in self-service analytics.

Identify hidden trends and outliers across multiple data sources. Uncover the root causes of problems and predict their financial risks.

Support informed decision-making by identifying how clinical outcomes and reimbursement are affected by variability in the care process. Model best-practice scenarios to choose the best course of action.

Monitor cause and effect relationships with dynamic, linked visualizations. Explore topics such as inpatient mortality rates or associations between ICD-9 codes and readmission risk.

Answer new questions with ad hoc analyses accessing multiple (local and enterprise) data sources. Import and transform data with flexible data preparation tools.

Create Data-Driven Visual Analyses

Predictive modeling

  • Predictive modeling tools allow you to forecast healthcare-specific conditions for each service line and discover opportunities for reimbursement improvement.
  • Fast, in-memory analysis of local and enterprise data sources allows you to compare various best-practice scenarios, helping your organization refine its improvement strategy quickly.
  • A self-configuring, in-memory data engine creates filters, hierarchies, and aggregations directly from your data, enabling rapid development and deployment of new predictive analytics and statistics applications.

Intuitive data analysis

  • Data from multiple third-party sources can blend without complex coding or IT intervention. Users can drag, drop, and drill into data fields from multiple data sets, previewing on a single screen.
  • The simple user interface allows analysts and executives to visually explore data, leading to a rise in self-service analytics across the organization. Our advisors help you develop a sound data governance process that supports sustainable success.
  • Online Analytics Explorer community provides access to interactive forums, client success stories, and thought leadership content.  Customer workgroups collaborate on targeted topics to optimize performance.

Custom reporting packages

  • Standard or customized reports and operational scorecards can be distributed to each clinician. Reports help you quickly tell the story behind the numbers, showing key stakeholders the rationale for decisions.
  • Custom reporting packages include Physician Use, which helps you measure variability in physician practices, and Quality Scorecards to monitor key quality indices. Executive Dashboards help you communicate with leadership.
  • The Pay-for-Performance (P4P) reporting package helps you mitigate pay-for-performance penalties. Pay-for-performance calculators help you predict revenue streams based on core measures.

Talk to Sales 1-866-873-3813

Get Started Online

All Fields Required

Existing Customers: Need Assistance?

You May Also Be Interested In

Clearance Estimator

A solution for hospitals and health systems that want to create better patient estimates at or before the point of service to help increase collections and improve patient satisfaction.

Financial Clearance Services

Financial clearance services for hospitals and health systems that want to decrease uncompensated care by helping patients find appropriate funding sources for medical bills.

Pulse Revenue Cycle Benchmarking™

An analytics-driven solution for providers who want to have increased visibility into their claims cycle performance, benchmark performance with peers, and quickly address obstacles.

Coverage Insight

An analytics-driven solution for providers that want to identify undisclosed coverage for patients presenting as self-pay or underinsured, while adhering to anti-phishing regulations.