HLT 362 Assignment Application of Statistics in Health Care
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.
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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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.
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.
Topic 1 DQ 2
Aug 15-19, 2022
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.
REPLY TO DISCUSSION
An understanding of statistics is essential if the numerous reports and documents issued within the healthcare industry are to be scrutinized and considered critically. There has been an increase in the development of research-based and evidence-based practice (EBP) in healthcare over the last two decades. Understanding statistics and analysis helps healthcare personnel make sense of the research studies that underpin EBP and enables practitioners to undertake their investigations. Health care practices are not based on research and are not assessed, planned, and evaluated to see if it makes a difference in patient care, leading to unsafe practices and patient harm (Scott & Mazhindu, 2014).
In the operating room, we use statistical data to evaluate patient care, such as that related to patient positioning pressure injuries. Statistics are also used to develop quality measures or metrics related to surgical on-time starts, operating room turnover times, surgeon block utilization, case cancellations on the day of surgery, and patient through-put times. Other applications of statistics in the operating room are staffing plans, cost per case, materials management, and resource allocation. This data is used for best practices in patient care, operational room efficiency, and value-based healthcare practices within the hospital.
Scott, I. & Mazhindu, D. (2014). Statistics for Healthcare Professionals: An Introduction. Thousand Oaks, California: SAGE Publications, Ltd.
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.
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.