How Fit Is Your Healthcare Data?

Michelle Blackmer

Guest post by Michelle Blackmer, director of marketing, healthcare, Informatica.

Several weeks into the New Year, our fitness resolutions are still top of mind. Whether tracking calories or steps, we are asking ourselves questions like “how many pounds have I lost?”, “how many calories did I eat?” and “how many steps did I take?” To take the guesswork out of it and to hold ourselves accountable, many of us put a Fitbit, Nike Fuel or Jawbone on our wish lists. Our physical fitness has become data-driven; these devices create data that provide insight, enable us to visualize patterns and generate millions of bytes of data, which helps account for the anticipated annual 40 percent growth in big data. However, this is only the tip of the iceberg for data-driven healthcare.

Health information leaders must continue to assess their business resolutions and take stock of their healthcare data fitness. This is especially important since an alarming 40 percent of healthcare executives gave their organizations a grade of “D” or “F” on their preparedness to manage the data deluge. What’s more is that none felt their organization deserved an “A.”

Successful transformation to value-driven care requires an investment in enterprise information management. However, healthcare organizations are tightening their belts and bracing for the hit to their bottom lines in response to the health reform law that took effect on January 1, 2014. Instead of scaling back, healthcare organizations must invest in the fitness of their data. After all, if the wrong data is analyzed (i.e., inaccurate, incomplete, missing or even unnecessary), organizations are going to make the wrong decisions. What is the cost of making the wrong decision?

Assess your data fitness. Ask yourself the following questions:

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