Provider Analytics Roadmap (PAR)

For high-quality healthcare data to flow and translate into actionable decisions for clinicians, researchers and CIOs, it is critical that healthcare organizations build a solid strategy to serve as their foundation.

At the heart of Recombinant’s strategy consulting service is its Provider Analytic Roadmap (PAR) methodology. PAR recognizes both the wide variety and breadth of healthcare data and the significant number of common analytical needs within the healthcare industry.

Most data warehouse failures do not result from a problem with the tools. They result from a problem with the design. Too often organizations fail to ask the simple question: Do we have the right solution for the needs of our business?  As a result, solutions end up solving one specific need at the expense of addressing the broader needs of the organization.  This widespread, but avoidable, shortcoming is exactly why a strategic roadmap effort is required.

Healthcare has unique attributes including complex internal, payer, and public reporting needs, clinical research, disease management, large volumes of unstructured data, and many more factors that may be critical to an organization’s data architecture. The specific components of your organization must be recognized, analyzed, and ultimately addressed to achieve an effective data solution.

Recombinant’s PAR methodology systematically uncovers the needs of your organization, from its goals to its potential limitations in technology and staffing, and then lays out a distinctive roadmap to address them.

How PAR Works

The PAR methodology comprises three steps: Understand, investigate and recommend.

Step 1: Understand

To develop an inclusive strategic roadmap, Recombinant starts by gaining an overall understanding of your organization. We work with you to capture, review and prioritize information related to your vision, mission, strategy and objectives within the context of building a data warehouse. In this way, we determine that we are aligning your desired core competencies to a solution that can help you measure and manage most aspects of your business.

We also look at how your business is organized and structured to map out the required enterprise-wide data governance and enterprise standards.

Step 2: Investigate
 
Next, we analyze your business needs and data with a focus on reviewing the essential functions of the data warehouse, identifying the constituencies and recognizing any organizational hurdles and technical challenges. We also analyze terminology mapping and modeling, mapping between vendor source terminologies or mapping non-standards-based terminology to well-recognized national standards. Finally, we focus on data governance and compliance issues, including Health Insurance Portability and Accountability Act (HIPAA) privacy and security assessments as well as Institutional Review Board (IRB) considerations.

Step 3: Recommend

Finally, based on our investigation and analysis, we deliver an overall assessment document and management presentation that explains our findings and provides a roadmap/plan outlining the steps to deliver value incrementally toward a long-term vision.

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Analytics projects can be viewed as two wheels that drive each other. The data access pipeline enables front-end tools. Recombinant's PAR methodology ensures that data requirements are business driven and front-end applications evolve to meet user needs.

The PAR methodology works through the phases of understanding, investigating, and recommending. It is designed to operate in cycles so that efforts build upon delivered successes and factor an ever changing landscape of priorities and constraints.