Application of Statistics in Health Care

Application of Statistics in Health Care

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Application of Statistics in Health Care

The Healthcare system and practices are constantly changing to improve the quality of care delivered to the patients. Evidence-based practices help in identifying the areas that need to improve based. However, the first step in the change process requires identification of the needs, and this is achieved by gathering relevant data, analyzing and interpreting them. Therefore, statistical application is critical in healthcare delivery. Meaningful data analysis allows clinicians and other healthcare providers to make an informed decisions. It becomes easy to justify the change process when having enough data to support the need. The current paper discusses the significance of statistical applications in healthcare.

Significance of Statistical Application to Quality and Safety

According to Petrie & Sabin (2019), the statistical application helps in improving safety and the quality of healthcare delivery. For example, the introduction of the Medicaid readmission program aimed at reducing the cases of patients readmitted 30 days after discharge. In such cases, the hospitals must record the number of people admitted in the hospitals, those discharged, and the ones who are readmitted within 30 days to determine the readmission rate. Each hospital needs to keep the rate below the recommended national value. In such a case, the statistical applications help in promoting quality healthcare delivery. Similarly furthermore, analysis can be done to determine the major contributing factors to the increased cases of readmissions. While there could be many factors, their impact on the health issue varies, and so the statistical analysis helps the hospital to determine the most significant burden to be prioritized.

Furthermore, Vellido (2019) indicates that statistical applications involve creating charts, and this helps in identifying the signals on the areas of concern. Similarly, the laboratory units in the hospitals are required to chart temperatures and other variables over time. The trends in the variables can be used to determine whether any of the outcomes lie outside the expected range. In the same way, the hospital can monitor incidences of mortalities and readmissions within thirty days to identify days with outrageous outcomes. The abnormal record can raise the alarm that eventually leads to an inquiry process with the goal of improving the quality of healthcare services to the patients.

Evidence-based practices development depends mainly on data analysis and statistical applications. As the nurses and other healthcare providers interact with the patients, they determine the key health determinants. The data collected are then used in determining the key areas in the population that needs to be addressed. For example, various studies have indicated the incidences of childhood obesity are on the rise, and this necessitates urgent interventions. In such a case, data on the life patterns among the population are collected and used to determine the best approaches to addressing the issue. The case illustrates how statistical applications are useful in promoting population health. Health promotional activities begin with analyzing the life patterns among the people in a community and using the information to develop a customized response. Also, as part of the public health promotion, statistical applications have been used to track the Covid-19 infection rates, and this has been used to guide the healthcare policy and response measures.

Statistics Knowledge and Application

Obtaining data for statistical analysis is also essential; using dubious methods could result in unrealistic data. The data to be analyzed in this case were obtained from the hospital health records systems. The healthcare institution uses an electronic health system and so captures various (Suman & Prajapati, 2018). Also, the data may be collected through the interviews from the interactions between the healthcare providers and the patients. The approach provides comprehensive data that health the healthcare providers understand the magnitude of the burden presented by the healthcare issue.

Statistical knowledge is important and is used on a daily basis. Healthcare providers interact with data on a daily basis, beginning from scheduling the patients and offering the best clinical care (Suman & Prajapati, 2018). Understanding the patients’ flow allows the healthcare facilities to determine the number of healthcare providers required to facilitate the smooth flow of the patients. In terms of decision-making, the data on the number of patients scheduled for a given day can be used to decide on the number of observation rooms and consultation units needed to effectively attend to the patients. Besides, by analyzing the amount of time taken in the consultation room by the patients, the healthcare providers are able to manage their queues accordingly.

Conclusion

Finally, statistical applications are part of the daily experiences in the healthcare delivery process. The healthcare providers interact with their patients and gather relevant data, which are analyzed and used to make decisions on how to improve the experiences of the patients. Statistical analysis helps organizations make appropriate decisions, improve the quality of healthcare delivery and identify warning indicators in their daily operations.

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