Business Intelligence and Analytics for Healthcare

Healthcare organizations are going through a technology and data revolution. Pressure from a wide range of sources are forcing both providers and health plans to look at their data and technology investments in new and innovative ways to gain competitive advantage. Healthcare business intelligence can provide organizations the ability to use their data to improve quality of care, increase financial efficiency and operational effectiveness, conduct innovative research and satisfy regulatory requirements. 

Healthcare Enterprise Data Roadmaps

Leveraging your data to its fullest potential requires a pragmatic, yet flexible plan. Understanding where you are, where you need to be and how to get there is critical in ensuring the journey is as efficient as possible. The creation of an enterprise roadmap provides the framework for the creation of a world class data environment.

Healthcare Analytics

Healthcare organizational data has a wide range of uses. From surgical analytics, service line profitability and quality analysis to claims management, revenue cycle management and utilization, analytics can provide the critical insights in meeting the organizations goals and gain competitive advantage. Focused analytical applications can provide a quick return on investment and provide the foundation for the use of analytics across the enterprise.

Healthcare Data Governance

Healthcare organizations are experiencing tremendous technological change and in how they use their data. New EMR’s, 4010/5010 and ICD-9/ICD-10 conversions, standardizing technology platforms and integrating data for analysis all require an enterprise view to truly realize the benefits of technology investments. Having the strategic oversight and management in place to ensure the enterprise view is a critical component for success.

Healthcare Master Data Management

Master data is the cement that ties the organization’s data foundation together. Some healthcare organizations are facing a master data challenge as they move to standardize their systems, perform 4010/5010 migrations and prepare for ICD-10. As healthcare organizations move towards an enterprise view of their data, ensuring the consistency of such things as master patient indexes, physician masters, diagnosis codes and procedure codes will be critical.

Healthcare Centralized Data Environments

Implementing a true centralized data environment requires a balance between process, best practices, organizational constructs and enabling technology. In addition to the topics outline above, a true world class data and analytical platform needs to consider a number of additional areas:

  • Data Acquisition
  • Data Integration
  • Data Modeling/Storage Data/User Access
  • Metadata Management
  • Collaboration