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How to Create a Data Driven Culture in Your Post Acute Agency

Posted by fivebyfive on January 09, 2015

Elliot WoodBy Elliott Wood, Medalogix COO

Authors Hastie, Tabshiani, and Freidman preface The Elements of Statistical Learning with their most famous quote: “In God we trust, all others bring data.”

Authors Hastie, Tibshiani, and Freidman preface The Elements of Statistical Learning with their most famous quote: “In God we trust, all others bring data.”

More than ever, post-acute organizations must rely on injecting data into every level of decision-making.post acute nurse Applying this commitment to data as a north star can either halt company decision-making or empower organizations to thrive. It’s all in how you do it.

Surprisingly, the most effective way to create and sustain a post acute data-driven culture is not concluding evidence-based answers, but instead socializing important questions you need your employees to solve.

A data-driven culture is a questioning culture, educating and empowering team members to answer company challenges. Organizations that give their staff a license to solve, demanding that data support their conclusions, will leapfrog competitors by their own internal genius.

Socializing a company-wide effort to answer questions in favor of delivering answers helps rally employees toward a common goal. It charges them to discover. With that license also comes responsibility and ownership, providing autonomy to workers and recognizing their efforts to improve the company. Engagement becomes less about perks and work, but instead a collaborative mission to do something new, driven by facts and information.

Data can become a vehicle for redefining your post acute organization’s culture. The rapid changes in post acute demand that agencies define their protocol and process on current facts and actively seek to replace assumptions with proof. Whether numbers lie is debatable, but growing engagement through autonomy and the ability to influence is not. And if it is rooted in data, isn’t everyone better because of it?

If you liked this article, you may be interested in, “Predictive analytics can be complicated. Technology that effectively initiates and leverages it makes it simple and valuable.”

   

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