If you don’t know where you’re going, you might land somewhere else. It may at first seem like a senseless phrase, but research, planning, and goal-setting are important directional steps in both our personal lives and in business. The alternative is to react impulsively as events occur and conditions change following no particular plan or strategy. That sort of seat-of-the-pants approach insures landing off course.
Past is prologue
Even more importantly, without analysis of past performance, organizations will miss opportunities for designed excellence. If you don’t know here you’ve been, you could land somewhere else. Actions might be habit-based and detrimental in this fast-paced world.
Decisions and actions will be miscalculated when they are based on mere recollection of the past. Analyzing and understanding the past using technology tools is the way to gain insights that lead to knowledgeable actions going forward. That means analyzing the past to identify pivotal conditions and develop competitive or profitable responses.
Analytics of past performance will notify organizational leaders of conditions that could lead to strategic actions. Alerts are sent to the right persons at the right time regarding current situations with pre-planned initiatives.
Simply studying the past is not enough. Too many organizations stop at the data analysis stage, missing the opportunity to maximize efficiency, accuracy, and profitability gained through applying analytics-informed insights. The insights gained through analysis should be conveyed to those making daily decisions for the organization. Still, there is a prerequisite to successfully leveraging analytics to inspire intelligent action.
For instance, incomplete medical provider data can be explained by the fact that in the past only an address and tax ID were necessary to pay a bill. But now analysts are asked to determine which providers are best, particularly for treating and appropriately managing injured workers. The decision cannot be made based on an address and tax identifier. Making judgements based on inaccurate and incomplete data is perilous. In particular, medical provider data is often too lacking in quality and accuracy to be used in assessing medical quality.
Missing and misleading data
Provider name and address remain critical to performance analysis. However, the address on the bill should be the treatment rendering address rather than a PO Box. Granted, medical providers often list the PO Box because it is the location of accounts receivable, but it is no longer acceptable as the only address. The rendering address is important to convenience for injured workers and employers, but it also is important in distinguishing individual providers and their practice patterns.
CMS (Centers for Medicare and Medicaid Services) requires physician NPI (National Provider Identification) on all bills, as do all general health payers. The Workers’ Comp industry has not followed suit but now it must require NPI numbers. The NPI is essential for recognizing individual providers in all their rendering locations found in the data and distinguishing individual providers in group or facility settings.
The NPI is also crucial for assigning medical specialties when that significant data element is missing as it often is. Fortunately, the specialty can be ascertained from the CMS NPI. By insuring the organization’s data includes these few data elements, identifying the best medical providers and establishing outcome-based networks is straightforward and reliable.
Understanding the past is essential to intelligent development and execution of organizational planning. Analytics relies on accurate and complete data to inform the best business strategies. Moreover, accurate and complete data is the tipping point because without it, the organization will land somewhere else.
Karen Wolfe is the founder and President of ®, 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 measurable.