Application of Statistics to Health Care Significance to Quality

Application of Statistics to Health Care Significance to Quality

Ensuring quality and efficient care is, by all means, the most important objective of statistics in health care. The vast majority of today’s healthcare research relies upon hypothesis-based statistical analysis. Essentially, researchers present a hypothesis concerning medical intervention. The hypothesis is then followed by gathering empirical data from medical cases and applying statistical analysis in order to evaluate the relevance of the hypothesis (Vandever. 2020). Regarding the fact that the hypotheses may concern all the aspects of patient experience, it becomes evident that statistics is a significant contributor to the quality of health care. For example, there is a study that applied statistical analysis in order to assess the quality of patients’ experiences both in public and private facilities (Fatima et al., 2018). The statistical data presented in the form of ranking provided practitioners with a perspective where private care is considered more patient-oriented and trustworthy. Hence, such studies help scholars and practitioners have a realistic perception of patient experience and, in the long-term perspective, contribute to their satisfaction within the setting.

Significance to Safety

One of the most challenging aspects of statistics and analysis is the ethical dilemma of securing one’s personal data used for the analysis. Currently, the vast majority of data for the statistics processing is collected through the systematization of the Electronic Health Records (EHR) filled in by the practitioners. However, according to researchers, since the introduction of wide EHR use, much progress has been made in the field of cybersecurity and encoding one’s sensitive data in the system through eliminating one’s name (McDermott et al., 2019). Hence, when used wisely and ethically, statistics present the quantitative interpretation of data solely while indicating no personal information.

Significance to Health Promotion

The demonstration of statistical data has already become an integral part of health promotion and public health administration. Since the establishment of the Centers for Disease Control and Prevention (CDC), people have obtained the chance to become more involved in public health while raising their awareness of the current health challenges tackling their community. The importance of statistics presented in the form of quantitative indicators such as percentage help draw the public’s attention to the information, as they tend to perceive information easier with the help of data. Hence, health promotion benefits significantly from the use of statistics.

Significance to Leadership

The employment of statistics within hospital settings and staff is crucial for the team’s productivity and long-term planning. When it comes to statistical analysis, some of the most important cases of statistical data include patient ratio and retention, patient-to-bed ratio, and readmission rates. A meticulous analysis of such data allows healthcare leaders to assess current gaps in terms of treatment and efficiency and create a roadmap of actions to improve the present scenario.

Acute Hospital and Statistics

Acute hospital facilities are to respond rapidly to various health scenarios in order to secure safe and efficient patient outcomes. As a result, it means that both administration and practitioners should have explicit access to current statistical data for the hospital, including the tabulation of data on the present hospital population, occupation rates, and the testing resources available for the patients. The data is primary obtained through the EHR system dilled in by the admission nurse and practitioner (Pasek, 2019). The system is connected to the overall facility’s electronic database, allowing the practitioners to access it anytime.

The first and the most common way of accessing statistical tools is the nurse’s interaction with the EHR. When working with patients, nurses have the ability to access all the previous information about the patient’s treatment in order not to waste time and focus more on the direct medical intervention. Another important daily interaction with statistics concerns filling the frequency charts and data sheets concerning medication intake plans and treatment schedules.