An Analytic Strategy for the New Medical Center Essay

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As Albizu University anticipates setting up a Medical Center, the stakeholders need to consider the analytic strategy to ensure that they make effective decisions. Stakeholders’ effective decisions trigger establishing a medical center that offers quality and improved performance. Therefore, for the stakeholders to optimize the initiative of starting a medical center, they must have profound knowledge of healthcare analytics (An, 2013).

The analytic strategy helps the stakeholders discover the organization’s current state, identify gaps, and implement the plan (Strome, 2013). Parties establishing the medical center must have precise prognoses, procedures, and patient data. The start-up’s sponsors should then analyze the collected data to depict its implication for delivering competent patient care and ameliorating patient experience. An insight into the development of the analytical strategy for the new medical center is outlined to the stakeholders.

First, before the investors in the medical center establish the venture, detailed analytics for the facility should be conducted. Notably, the team responsible for bringing about the medical center must assess the society’s healthcare problems, availability of relevant data to make informed decisions, understanding of data representation, and application of various techniques and tools to implement the strategy. After the stakeholders have familiarized their requirements, quality goals, business problems, and identified data items, they can appropriately select analytics models that provide the information required to make decisions (Strome, 2013). For instance, through the analytic strategy, the stakeholders can determine the cost incurred to maximize the output of the time, resources, and talents invested. The process allows the decision-makers to purchase or hire tools that work best to provide care for patients seeking medical aid from the center.

Secondly, when dealing with analytic strategy, the stakeholders must agree on the organization’s IT systems governance. Moreover, the stakeholders analyze the organization’s future operations to forecast the institution’s performance in the future stages. Thus, the organization’s data should be available, accurate, and legally owned by the company. Proper and safe storage of the company’s data by IT support is crucial in guaranteeing the availability of researched and reported data components (Strome, 2013). As stated above, effective data governance is fundamental to the predictions of an organization’s future performance; hence, facilitating the implementation of strategies that favor productivity in the future stages. Properly governed data can be referred to in the future to guide the management when deciding on the right technology, resources, and processes to apply to meet the anticipated outcome.

Finally, the present analytic evaluation of the establishment reveals the gaps in the things that are yet to be done. Identifying these gaps creates possible ways to advance the organization’s standards by challenging the stakeholders to discover approaches to fill the identified gaps. These improvements may include areas such as training healthcare service providers, installation of new software, and improving the infrastructure. The stakeholders gain a chance to exploit available opportunities to improve healthcare service delivery. To achieve advanced healthcare delivery, the stakeholders must implement strategies covering priority gaps for the patients and the organization. Moreover, at the execution stage, the management team decides to deal with gaps that can be dealt with quickly and those that do not require a considerable cost of implementation. Clear focus and intentions of the stakeholders when opening up a medical center form the foundation of all activities to be carried out to ensure that the organization’s objectives are met.

References

An, J. Y. (2013). Book review: Healthcare analytics for quality and performance improvement. Healthcare Informatics Research, 19(4), 324-325.

Strome, T. L. (2013). Healthcare analytics for quality and performance improvement. John Wiley & Sons.

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