by Karen Wolfe
“Given the avalanche of information that has become available to businesses over the past several years, data-driven decision-making (DDDM), the practice of basing business decisions on data analysis rather than intuition, has become a critical tool to help organizations reduce risk, avoid costly mistakes and take advantage of opportunities.” In Workers’ Comp, there are scores of reasons to seek council from the data.
If data quality is inconsistent, incomplete, or has errors, conclusions derived from it cannot be trusted by those who would rely on it for decision-making. For instance, medical provider performance analysis relies heavily on provider data accuracy. Missing data items such as NPI (National Provider Identifier from CMS, Centers for Medicare and Medicaid Services) prevents accurate individual or entity identification. Individual providers cannot be accurately distinguished. Still other data quality issues are concerning.
Karen Wolfe is the founder and President of MedMetrics®, LLC, a Workers’ Compensation, predictive analytics-informed medical loss management and technical services company. MedMetrics offers intelligent medical management systems that link analytics to operations, thereby making insights actionable and the results measureable. firstname.lastname@example.org