Organizing for analytics in health care

​Several challenges should be addressed in order to effectively deploy and embed analytics in the organization’s culture, decision making processes, and operations. Aside from technical, data and skill considerations, there are political, cultural, and organizational pitfalls that can slow or stall the implementation of the program. By anticipating and planning for these pitfalls, executives can be better prepared to build support and maintain momentum.

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​The growing thirst for information – reliably accurate information – is dramatically changing the health care industry in many ways. Externally, the government, industry groups, payers, employers and patients are demanding more insightful information, accountability and transparency. Internally, there is increasing demand for clinicians and leaders to improve service quality, patient satisfaction and clinical outcomes. At the same time, health care providers are being constantly challenged to provide better results with fewer resources and at a lower cost.

These external and internal forces can induce greater performance risk and are driving health care organizations to develop a better understanding of their clinical and financial outcomes. The table stakes have changed in the “New Normal” - the ability to build enterprise information management and analytics capabilities that can provide new insights about patient populations that may be essential for organizations to thrive and ultimately, survive.

A key to promoting sustainable enterprise excellence can lie in the organization’s ability to harness the potential of clinical systems that can drive insights that enable informed decision making. Organizations that have excelled at building information management and analytical capabilities have realized tangible benefits such as: improving clinical outcomes, reducing insurance denials, reducing avoidable readmissions, and increasing the use of resources to help meet the growing demand for patient services – just to name a few. 

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