Statistical Concepts in Healthcare

By Published on October 3, 2025
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QUESTION

Discuss why it is important for a person working in health care to understand statistical concepts. Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.   

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Subject Nursing Pages 2 Style APA
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Answer

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    Statistical Concepts in Healthcare

    Introduction

    Statistics forms a very critical aspect of not only the public health system but also general health practice. Through statistics, epidemiological data in healthcare is available. The data is used to map regions, and thus facilitate effective public health strategies that benefit the general public. Of note is that statistics is equally applied during patient care in the clinical environment (Sharples, 2018). Data from clinical trials, for instance, is used by healthcare practitioners to determine the efficacy and safety of new drugs, and hence allows the practitioners to settle for the best drug given the evidence.

    Importance of Statistical Concepts.

     Individuals in the healthcare field need to have adequate knowledge of the statistical concepts. This is largely due to the fact that most of the practices and procedures in healthcare are guided by research findings and statistical data. A good example is drug calculation and dosage adjustments. In as much as they may seem to be a basic concept, lack of statistical skills can easily result in a case of overdose and eventual harm or even death of a patient. Healthcare is characterized by research and evidence-based practices. This makes it very important for healthcare practitioners to appreciate the basic concepts of statistical methods that can enable them to take part in research.

    Example of the Use of Statistical Data

    The current practice in most healthcare institutions is the use of electronic health record systems. These systems are designed to operate on statistical frameworks in order to ensure data accuracy. The information generated from such a system is used by policymakers to guide decision-making and planning of health interventions (Miotto et al., 2018). The data is organized and summarised and can quickly be analysed to show trends and variations that are of great importance in public health.

    Conclusion

    Statistics is very important in any practice, and the healthcare field is no different. With the increased emphasis and reliance on evidence-based practice, data will become the core of healthcare practice thus necessitating the need for mastery of statistical concepts.

References

 

Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T. (2018). Deep learning for healthcare: review, opportunities and challenges. Briefings in bioinformatics, 19(6), 1236-1246.

Sharples, L. D. (2018). The role of statistics in the era of big data: Electronic health records for healthcare research. Statistics & Probability Letters, 136, 105-110.

 

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