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.
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.
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).
Application of Statistics in Health Care
The application of statistics in healthcare is essential as it guides the decision-making processes. Statistical approaches are mainly used by healthcare organizations and medical research institutions to measure the performances and the trends in the operational processes. With the advancement in technology and the increased application of databases and data collection tools, healthcare institutions can collect that which can then be analyzed and the outcomes used in the determination of trends. In general, human service agencies, as well as governmental institutions, often use statistical information to determine the health factors that are likely to affect the population (Ward, Marsolo, & Froehle, 2015). Most of the healthcare research organizations use statistical approaches to test medications and to do research of conduct studies on some of the important health issues. With the increased application of statistics in healthcare, medical professionals, including nurses, physicians, doctors, and other healthcare workers, are always required to have basic knowledge in statistics, including data collection, data analysis, and interpretations of the outcomes. The purpose of this paper is to discuss the application of statistics in healthcare.
Description of the Application
Statistics is significant in healthcare, particularly when it comes to quality improvement processes. Statistical analysis often defines the policy-making processes that are geared towards the quality improvement processes. Healthcare research organizations are always involved in studies that are meant to enhance the quality of healthcare delivery processes. On the other hand, they are often engaged in undertaking research processes on appropriate medication that can be used to improve the lives of the patients. All the above research processes and studies mainly involve the application of statistics where there are collection and analysis of healthcare data.
For example, the American Center for Disease control normally uses the statistical methodologies to enhance the studies on drug tests where they collect and analyze data from the participants to determine effective outcomes. With the advancement in the operational approaches, most of the patients prefer quality services when it comes to the provision of medical services. To ensure quality improvement, healthcare institutions often apply statistics to determine the possible areas that ought to be addressed. In other words, healthcare data can be analyzed to determine specific areas that require adjustments. Additionally, the data can be analyzed using different statistical approaches to assess activities that need to be implemented to ensure quality delivery in the healthcare system.
In the healthcare system, pharmaceutical companies and hospitals should always understand the patients so that they can assess or evaluate the risks linked to a patient. They also need to establish the effectiveness of different treatments and, at the same time, assess the symptoms. Therefore, undertaking statistical research approaches is necessary to establish the best approaches to administering medication and enhancing the general treatment process. The application of statistics should involve using healthcare data collected over time and using the best statistical analysis characterized by the appropriate tests and hypotheses to determine the best treatment approaches that can lead to quality outcomes.
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With the increase in the number of patients in various healthcare institutions and the outbreak of infectious diseases, healthcare organizations struggle to deliver quality goods and services efficiently. The application of statistics, therefore, can help the companies gauge successes and failures in their performance. Managers for quality improvements often create service excellence standards to define or determine future results (Zulman et al., 2015). Therefore, reliable statistical information can be applied to plot the overall growth and viability. Data collected over a period can therefore be applied in the clinical trials for the new treatments and technologies to define the benefits as well as the risks of the product.
Utilization of Statistical Knowledge in Organizations
In my healthcare organization, statistical knowledge is applied in determining effective healthcare processes that can lead to quality patient outcomes. Through the collection and analysis of data, the organizational policymakers often determine the best processes to ensure quality patient outcomes. Also, in my organization, statistical knowledge is applied in the development of algorithms that can be used to enhance treatment processes (Zhang et al., 2015). The algorithm’s development often involves understanding healthcare data and how they can be transformed to enhance new knowledge development. Before engaging in statistical analysis, there is always the need to collect appropriate data through effective data collection techniques such as technology. In my organization, statistical data is obtained through a data collection process that involves capturing a patient’s information once they are enrolled in the healthcare systems. These data are cleaned and stored in the databases. Some of the patent’s data that are always collected include medical conditions, past treatment processes, medications that have been given, history of the diseases, age, and health condition. Statistical knowledge is used in day-to-day activities to determine the correct nurse to patient ratios and determine the best treatment approaches.
Statistical knowledge is essential in the healthcare system; it influences how policies are made and how healthcare processes should be conducted to enhance quality outcomes. Statistics is significant in healthcare, particularly when it comes to quality improvement processes. Statistical analysis often defines the policy-making processes that are geared towards the quality improvement processes. The application of statistics in healthcare is essential as it guides the decision-making processes. Statistical approaches are mainly used by healthcare organizations and medical research institutions to measure the performances and the trends in the operational processes.
Ward, M. J., Marsolo, K. A., & Froehle, C. M. (2015). Applications of business analytics in healthcare. Business horizons, 57(5), 571-582. Retrieved from: https://doi.org/10.1016/j.bushor.2014.06.003
Zhang, Y., Qiu, M., Tsai, C. W., Hassan, M. M., & Alamri, A. (2015). Health-CPS: Healthcare cyber-physical system assisted by cloud and big data. IEEE Systems Journal, 11(1), 88-95. Retrieved from: https://ieeexplore.ieee.org/abstract/document/7219371
Zulman, D. M., Chee, C. P., Wagner, T. H., Yoon, J., Cohen, D. M., Holmes, T. H., … & Asch, S. M. (2015). Multimorbidity and healthcare utilisation among high-cost patients in the US Veterans Affairs Health Care System. BMJ open, 5(4). Retrieved from: https://bmjopen.bmj.com/content/5/4/e007771.short
How Statistical Knowledge is utilized in a Healthcare Organization
In my healthcare institution, statistical knowledge is used to gather information on patients, healthcare practices and treatments, and to make informed decisions based on that information. In daily operation in my healthcare institution, data is obtained through various methods such as electronic health records, patient surveys, and clinical trials. Statistical methods such as data analysis and regression analysis are often used to identify patterns and relationships in the data, which can provide valuable insights into healthcare processes and patient outcomes.
Within my healthcare organization, data is gathered on a daily basis through various means including electronic health records, patient surveys, and clinical trials. Data analysis is always undertaken to interpret the data accurately, allowing healthcare professionals to determine meaningful patterns and relationships that can provide insight into the operations and the overall health of patients (Dash et al., 2019). Besides, in my department, Statistical knowledge is used in day-to-day operations for tasks such as quality control, determining patient risk factors, and enhancing patient outcomes. For example, statistical data analysis often help in determining the success rate of specific treatments, identify areas where quality improvement initiatives can be directed, and monitor advancement over time.
Statistical knowledge has been used to help healthcare organizations make informed decisions for many years, and my organization is no exception. With the aid of statistical analysis, healthcare professional within my department often finds it easy compare the success rate of different treatments and assess potential risks and benefits associated with new medications (Hardwicke & Goodman, 2020). Besides, they often use this information to accurately prioritize resources in order to effectively deliver patient care. Statistical knowledge helps medical professional make data-driven decisions which are essential for providing quality patient care while effectively managing our time and resources.
Statistical knowledge plays a critical role in healthcare organizations by providing evidence-based insights that drive decision making and improve patient outcomes. In general, knowledge of statistics helps healthcare professionals in improving the quality, safety, health promotion, and leadership of the healthcare services provided. In my healthcare organization, statistical knowledge is used in day-to-day operations for tasks such as quality control, determining patient risk factors, and enhancing patient outcomes.
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