From data to discoveries.
The foundation of all of 3M’s analytics is a claims-based dataset designed to deliver metrics you can put into action. It begins with our meticulous data intake and cleansing process. Then, data is risk-adjusted, grouped and calculated to provide information on cost, quality, access and value.
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1. Data IntakeThe data intake process involves securing and cleansing data from several sources (e.g., patient longitudinal records, claims data, health risk assessments, lab data, and HIE and public health data).
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2. Data ProcessingDuring data processing, 3M applies advanced algorithms to your raw data. This makes data suitable for measuring the value of care and predicting risks.
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3. Data AnalysisThe data analysis phase is when 3M runs several data integrity checks to assure the dataset is clean, complete and error-free.
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4. Data AssetThe result is a claims database that helps you identify opportunities to improve value, design an appropriate program and track your progress. Depending on your goals, your dataset can be enhanced with predictive metrics, budget trends and preventable ED visits.
The latest news on healthcare data
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Although cost is a common topic in health care, it is not commonly understood. As one man’s trash is another man’s treasure, similarly, in health care, one man’s cost is another man’s gain. Costs to a payer become revenue for a care provider, as do the co-payments and other shared costs paid by consumers. The perception of “cost” depends entirely on who is paying. Not only that, the definition of cost depends on who is measuring. And everyone measures it differently.
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One reader of my latest blog on segmenting health care consumers asked me if I knew of any tools to calculate a person’s chance of developing a particular disease. That question got me thinking again about the topic of risk in health and disease. I pulled a copy of John Last’s Dictionary of Epidemiology from my office bookshelf for a proper epidemiologist’s definition of risk.
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As the healthcare industry strives to converge all the data sources required to manage population health, the mass of data needed to do it well, and to both clinically and analytically inform, will require something of a science project. Let’s call it gravity. Dave McCrory first proposed the idea of “Data Gravity” back in 2010. The analogy is rather simple.
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Featured solutions
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The 3M APCD Solution Suite provides the tools and support necessary for developing and launching a statewide APCD, or other multi-payer database.
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The 3M Intelligent Data Asset is a claims-based dataset that provides the foundation for value-based care programs. It takes raw claims data and turns it into information that can help optimize both cost and quality.
