BI In Healthcare

1463 Words 6 Pages
Introduction
In the past decade, the healthcare industry has seen many changes and challenges, especially with the Affordable Care Act. The policy promises to bring inexpensive health care to all American’s. Additionally, the act places further emphasis on the pay for performance model, which pays physicians, based on the quality, effectiveness and patients total care experience. For this reason, institutions are using Business Intelligence (BI) and analytics to aid with measuring process, outcome and patient fulfillment. Organizations are aware that accurate and reliable data is and will continue to be an integral part of the BI solution. However, a survey by Teksystems conducted in 2014, stated that roughly 58 percent of physician practices
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This in turn, results in confusion as to what type of BI solution should be purchased to perform needed functions of the company. Others have an expensive low use BI tools, of which the company does not see a full return on its investment (Ashrafi, Kelleher & Kuilboer, 2014). According to Weber (2013), several healthcare organizations have a notion that programs that work for other industries may not work in healthcare. Likewise, organizations are spending more money on patient centered healthcare software’s, then BI tools specific to analytical reporting (Weber, 2013). Horstmeier (2014) believes BI vendors find healthcare to have the most multifaceted data, and as a result, not many solutions are healthcare …show more content…
Data collection using the tools might help identify if treatment costs are appropriate and in line with competitors. In various cases, it can determine if a particular treatment can be administered by a nurse practioner versus a doctor to help keep costs down. However, its initial implementation cost, especially for those in small practices makes it un-attractable. Mitigating the cost to leadership is an added challenge. Sanders (2013) recommends structuring the BI implementation and pricing in three months’ increments to allow customers to identify the return on investment quicker.
Lack of Business Intelligence Professionals in the Field
More than 45 percent of individuals surveyed by TEKsystems, believed lack of qualified individuals with BI experience delayed implementing the solution (Manos, 2014). Research of thirty-two (32) institutions by Zheng, Zhang and Li stated only four offered explicit courses covering BI and decision support (2014). These days finding overall qualified BI analyst is like finding a needle in a haystack. In the future this will changes, as institutions work hand in hand with organizations to fill in the gap.
Organizations Using Business

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