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
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
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
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.