Enterprise Data and Analytics

Join the Healthcare Technology and Information Revolution

Healthcare business intelligence gives you the ability to leverage 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 organization’s 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 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. We will help you to get the strategic oversight and management in place to ensure the enterprise view of data.

Healthcare Master Data Management

Master data is the cement that bonds your 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 indices, 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. We build world-class data and analytics platforms that take into account:

  • Data acquisition
  • Data integration
  • Data modeling/storage data/user access
  • Metadata management
  • Collaboration

Health Analytics Gateway

Our Health Analytics Gateway is a robust package that pulls together advanced tools into an intuitive, easy-to-use framework that can help you begin to generate results immediately. Accelerating integration from multiple data sources allows you to analyze data more efficiently and gain key insights to run your business better. In addition, it speeds the integration of clinical, financial and operational data for advanced analytics.

Systems Integration

Let us help you on your value-based care journey by:

  • Conducting a value-based care readiness assessment
  • Providing data governance methodology and support
  • Building a Business Intelligence Competency Center (BICC)
  • Integrating all of your Epic and non-Epic data
  • Delivering clinically integrated insights
  • Generating a holistic view of your patient population
  • Providing dashboards and reports to improve physician performance and patient outcomes
  • Identifying patients with chronic conditions and those that are non-compliant

Business Process Management for Healthcare

We provide process overview across all systems, including accounting and human resources, documenting key processes to meet regulatory requirements and ease audits. Key benefits include:

  • Reduce administrative tasks, which increases patient care time and focus
  • Increase staff productivity by allowing them to focus on high-value workload
  • Improve organizational efficiency by identifying unnecessary waste points
  • Verification process improves accuracy and reduces the risk of human error
  • Enhance process visibility to identify areas of concern

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