Enterprise Data and Analytics

Join the Healthcare Information Revolution

The pace of modernization in healthcare is astounding. Nowhere is this more apparent than in the insights modern data analytics can provide to help healthcare payers and providers intelligently manage the health of populations, improve quality of care, increase financial efficiency and operational effectiveness, conduct innovative research and satisfy regulatory requirements.

Turn Data into Insight

Healthcare organizations seek insight from their data to drive the decisions that influence the efficiency and effectiveness of care delivery. These decisions require clear, consistent, and trusted data and analytics. We enable you to collect analytics for:

  • Population health analysis (risk management, quality of care, registry analysis)
  • Regulatory reporting (HEDIS, Stars, P4P, ACO, etc.)
  • Contract management (payer scorecards, contract performance, etc.)
  • Managed care and leakage analysis
  • Disease prevalence, disease management and gaps in care
  • Service line and utilization reporting
  • Labor productivity (nursing hours; RVUs, etc.)
  • Claim denials reporting

Data Modernization is Essential

Rapid change requires growing capabilities across the organization to leverage an ever-evolving set of tools, technologies, and methods to unleash the insight and value that this new paradigm can provide in delivering and managing care.

This means taking advantage of cloud technologies, modern data architectures, advanced analytics, and data catalogs to enable appropriate access, visibility, understanding, and trust in your data. Modernizing your data sets the stage for adoption of artificial intelligence (AI), machine learning, and other advanced technologies to enable more efficient and effective care.

Enterprise Data Roadmaps

Leveraging your data to its fullest potential requires a pragmatic, yet flexible plan. Understanding where you are, where you want to be, and how to get there is critical in ensuring a successful journey. Creating an enterprise roadmap that includes people, processes, and technology will provide the framework for the creation of a world-class data environment.

Data Analytics

The scale and types of information and data available to help solve healthcare’s biggest challenges far exceeds that of just a few years ago. Combining structured data from traditional healthcare EMR/EHRs with unstructured data from medical device logs, diagnostic imaging systems, and other sources presents the opportunity to increase the level of care and drive patient and member engagement while decreasing overall associated costs.

Data Governance

Success in leveraging advanced analytics, AI, and machine learning requires significant attention to data consistency and quality. Progress towards bedside AI and analytics-assisted care and decision-making demands a high degree of trust and visibility into the data used to power these decisions. A high-functioning data governance program needs the appropriate business-friendly tools, processes, and policies to enable that trust and understanding.

Master Data Management

Master data is the cement that bonds your data foundation. Many healthcare organizations are facing a master data challenge as they work through ongoing consolidation along with a flood of data from new sources. Some organizations have begun to move towards an enterprise view and catalogs which contain their true master data (patient, provider, member) and are turning their attention to mastering reference data (diagnosis codes, lab codes, medication codes, etc.) which are equally important to ensure the consistency of information and meaning across the organization.

Accelerator-driven Implementations

We help you achieve your goals cost effectively and efficiently, while maximizing predictability and quality. We do this by leveraging proven accelerators and automation techniques wherever practical. We have developed a number of healthcare data integration and management accelerators which have been fine-tuned in real-world implementations. These accelerators include data integration designs, mappings, code, as well as metadata and operational frameworks to enable operational success and program growth over time.

How We Can Help

We offer a suite of solutions that can help you on your path to data modernization and analytics, including:


  • Identify opportunities for modernization
  • Determine which opportunities offer maximum value, with consideration for cost and complexity
  • Understand current readiness and next steps


  • Rapidly iterate the application of AI in your organization
  • Define measurable goals for your cognitive analytics implementation


  • Discover the possibilities of cognitive analytics within and for your organization
  • Rapidly prototype and illustrate the art of the possible
  • Determine next steps


  • Understand and inform your vision and create the roadmap to grow capabilities across people, processes, and technologies – all mapped to clinical, operational, and business value
  • Define, design, and implement the architecture, technology, data structures, data pipelines, metadata, data/business glossaries, and master/reference data
  • Create the analytics and reporting layer, APIs, and sandboxes which put this data to functional use in support of your business and clinical processes
  • Enable and grow capabilities to use, grow, manage, and operate the platform and program over time


  • Data extraction, integration, and normalization from and with EMR/EHRs (Epic, Cerner, etc.) and other healthcare-specific systems
  • Data lakes, data warehouses, data pipelines, and APIs
  • Master and reference data management
  • Business and metadata glossaries and frameworks
  • Data analytics dashboards, visualizations, analytics, advanced analytics
  • Cognitive AI and ML solutions and projects
  • Data governance methodology and support

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