UAA HLT 362 Application of Statistics in Health Care Questions

Introduction

Today, statistics is applied in all sectors to show trends in the markets and to enhance the planning processes for the success of an organization. Statistics involves the analysis of collected data to inform the decision-making processes. Healthcare organizations mostly use statistics to show the trends in the emergence and spread of diseases, plan for the medical operation processes, and control the treatment processes, among other activities meant to increase efficiency in the healthcare system. There is always the need for healthcare systems to enhance care delivery and ensure effective patient outcomes. As a result, healthcare institutions often engage in numerous research processes. Besides, in the modern clinical setups, there is the application of evidence-based practices to enhance, diagnosis, treatments, and overall patient care.

Importance of Statistical Knowledge in Healthcare

The knowledge of statistics is used in the modeling processes to formulate the best treatment approaches that are essential for specific types of patients. Statisticians often rely on clinical data to predict and inform any possible variation in the treatment and patient management (Jahan et al., 2016). For instance, whenever there is a disease outbreak, as in the coronavirus case, clinical data collected can be used to determine the possible future trends and the number of resources that may be required to manage the situation. Statisticians may also model a system or program that may show the best precautions to take to reduce the spread of the diseases through the application of data collected. Different processes in the health care system rely on statistical data. For example, when writing a treatment or medication report, healthcare professionals often use the data that have been collected over a given period (Milic et al., 2016). As a result, healthcare professionals need to have basic or advanced knowledge in statistics to create meaningful reports and make statistically significant conclusions. The modern treatment models rely on statistical data. For instance, the development of artificial intelligence that can facilitate the medication process depends on the data and statistical trends in the healthcare system.

Before a research process is considered medically significant, it must always pass through the statistical tests to ensure that it is

statistically significant. All the above processes require significant statistical knowledge to help in the accurate analysis of every scenario from study design, data collection, data analysis, interpretation, and writing of a comprehensive medical report. Most of the medical research companies such as Center for Disease Control (CDC) and World Health Organization (WHO) depend on the statistical knowledge when it comes to drug trials, research on various diseases and study of the best medical interventions mechanisms that can lead to effective patient outcomes (Milic et al., 2016). As a result, there are always teams of epidemiologists and biostatisticians who have advanced knowledge in statistics, nature of diseases, and other healthcare activities. With the use of data in the treatment process, there is always the need for healthcare workers to show competency in healthcare informatics.

The application of statistics in the healthcare system is significant to quality improvement. To ensure efficiency in the healthcare system, there is always the need for healthcare professionals in collaboration with the researcher to carry out research to determine areas that require improvements. The use of data can, therefore, informs the ideal solution to the problems facing healthcare institutions. Therefore, the result of the clinical analysis can be used to improve the quality of care and the general treatment processes. Research processes may inform the safety measures, health promotion, and best leadership approaches that can best improve general care.

With the emergence of diseases and different complications in the healthcare settings, the provision of healthcare services often turn to be a challenge; as a result, there is always the need for healthcare professionals to identify the right strategies that can be used to improve the treatment outcome and the general safety. Therefore, statistical knowledge is required to undertake research using the clinical data available to determine the best strategies that can be used to deal with the increasing problems.

UAA HLT 362 Application of Statistics in Health Care Questions

In my organization, given the introduction of technology and numerous research processes, I will mostly utilize statistics in almost all the activities, from data collection, clinical analysis, medical research, clinical reporting. The statistical knowledge will also be critical in the development of treatment and care models in line with the needs of the patients. In healthcare settings, the clinical data can be obtained from the databases. Also, in cases where there is the need to study health determinants within the communities, research models can be designed whereby data may be collected from the community members through surveys. Data analysis results are often used in the decision-making processes; they may be applied to inform quality improvement, tend in the operational processes, and the best treatment and care processes to be adopted.

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Conclusion

All these medical approaches rely on the application of data. With the development of modern technologies in the healthcare system, data collection is usually done to ensure that patient’s records are well updated for further treatment processes. Patient’s data are usually collected from the point of admission to the time of discharge. All the above activities are statistical approaches that are meant to collect data to inform decision-making processes.

References

Jahan, S., Al-Saigul, A. M., & Suliman, A. A. (2016). Attitudes to statistics in primary health care physicians, Qassim province. Primary health care research & development, 17(4), 405-414.

Milic, N. M., Masic, S., Milin-Lazovic, J., Trajkovic, G., Bukumiric, Z., Savic, M., … & Ilic, A. (2016). The importance of medical students’ attitudes regarding cognitive competence for teaching applied statistics: multi-site study and meta-analysis. PLoS One, 11(10), e0164439.

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Statistics is a significant element in healthcare today. Various medical assessments rely heavily on statistics to gather crucial data for enhancing care provision. For instance, statistical measurements like temperature, body mass index, and respiratory rates are used to diagnose various illnesses. Moreover, statistical analyses are carried out on data in electronic health records to identify health issues and plan to address them (Sharples, 2018). Statistical application of healthcare began with the creation of the Royal Statistical Society in 1834, with one of the pioneers of nursing, Florence Nightingale, being a member (CDC, 2011). The health body carried out statistical analysis to understand the epidemiology of diseases and enhance the field of public health. Florence Nightingale and the Royal Statistical Society contributed to the utilization of statistical evidence in healthcare. Statistical evidence was used to identify the reasons for significant death rates and to make informed decisions to improve healthcare provision.

Besides Florence Nightingale, who contributed significantly to the application of statistics in healthcare, other people have contributed to its advancement and utilization. According to CDC (2011), Alexandar Langmuir, a leader of the Center for Disease Control in 1961, emphasized the collection of data and applying the data in healthcare through public health surveillance. Another significant statistical contribution was made by Carl Norden. According to CDC (2011), Carl Norden was the first healthcare professional to implement the t-test in research when carrying out an epidemic-assistance investigation. In the modern-day, health researchers have significantly utilized the t-test in hypothesis testing when carrying out research. James Bryan also contributed to the use of the pie chart in representing data during research. He carried out an epidemic-assistance investigation that utilized data collection through public surveillance, as emphasized by Alexander Langmuir, and utilized the pie chart to portray the data. These contributions have significantly changed healthcare since they have advanced research to enhance the investigation of various health concerns and develop solutions.

References

CDC. (2011). History of statistics in public health at CDC, 1960-2010: The rise of statistical evidence. History of Statistics in Public Health at CDC, 1960–2010: the Rise of Statistical Evidence

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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I really enjoyed reading your discussion post and found it very educative! I for one found finding just one person who changed healthcare, but you went above and beyond to find many more. Statistics play a key role in healthcafre especially when finding new ways to better the clinic and to make new decisions. As you have shown, statistics have been proven to be effective when used properly and are responsible for aiding in countless great accomplishments within healthcare. Overall great post!

Statistics in the field of health care have been used to track patient data. This data is used to analyze and formulate knowledge (Helbig et al., 2021  ). The use of statistics has evolved over time, in the 18th century, it focused on mathematics and probability, then in the 19th century the use of statistics to collect data for knowledge and analyzing data to improve population health. Health statistics are used to understand risk factors for communities, track and monitor diseases, see the impact of policy changes, and assess the quality and safety of health care (National Library of Medicine). One example of how statistical application has greatly influenced the health care practice was in 1946 when the CDC established the U.S.

Public Health uses statistical methods and applied the techniques to analyzed death rates due to sanitary measures. Also in 1950, the CDC when epidemiologic investigations were only descriptive analysis with the Epidemic Intelligence Service was established. The EIS is a program created by the CDC in 1951 to investigate outbreaks in communities. EIS helps public health officials to investigate and control infectious disease outbreaks and respond to natural disasters and other threats to the public’s health. EIS officers conduct epidemiologic investigations of infectious disease outbreaks, respond to natural disasters or other emerging public health threats, conduct surveillance studies, design, implement, and evaluate surveillance systems, study infectious and chronic diseases, environmental and occupational health threats, injuries, birth defects, and developmental disabilities (CDC.org).