Assignment: Statistics and It’s Importance

Assignment: Statistics and It’s Importance

Assignment: Statistics and It’s Importance

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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.

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 & development17(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 One11(10), e0164439.

Topic 4 DQ 2

Sep 5-9, 2022

Describe the difference between research and quality improvement. Provide a workplace example where qualitative and quantitative research is applied and how it was used within your organization. When replying to peers, discuss how these research findings might be incorporated into another health care setting.

REPLY TO DISCUSSION

II

Irene Igbinosa

Sep 10, 2022, 1:28 PM

Read

While research leads to Quality Improvements (QI), the purpose of performing analysis is to find new knowledge about the effect of a medicine, treatment, or procedure. (Helbig 2018) QI then is developed a plan and initiating into a program. The reason for QI is to provide cost-efficient and better care to our clients. QI is data-driven and usually done to improve the quality of care provided to patients(Helbig, 2018)

Six Sigma is a way to streamline the process to increase favorable outcomes. This has two main focuses. The first focus is the waste reduction in the process that increases processing times.

The second focus is on the elimination of defects or risk reduction.

My ER housed our blood culture bottles in our locked pharmacy room behind the nurses’ station. IV supplies are housed in carts throughout the department. When the nurse or tech plans to start an IV and obtain diagnostic lab draws, all collections are housed on the coaches. If the provider requested to have blood culture samples removed, the person had to walk across the unit to access the locked pharmacy room and pick up the blood culture bottles. This added extra time and a delay in obtaining the time-sensitive lab draw. I timed myself through the day and realized I was wasting 5 minutes per blood culture dray per person. I then multiply this by four staff members and the total times an average of 15 patients in a 12-hour shift for one day. The entire time wasted was 400 minutes for one day shift in our ER.

I brought this to our Clinical Manager and showed her the rough data collected and the impact of time that could be spent better well served. She evaluated the data and then moved the culture bottles to the IV start cart to decrease this time. The additional time is better spent at the bedside caring for our patients.

References

Helbig, J. (2018). Applied Statistics for Health Care. Grand Canyon University. https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/4

  • BM

Bhavisha Modi

replied toIrene Igbinosa

Sep 10, 2022, 2:01 PM

Unread

Irene,

Your “The first focus is the waste reduction in the process that increases processing times” and “The second focus is on the elimination of defects or risk reduction” examples were remarkable.

Bhavisha.

  • BN

Bernadette Nneji

replied toIrene Igbinosa

Sep 10, 2022, 2:30 PM

An example of the use of quantitative study in that is health-related is an investigation to determine the educational and psychological effects of of the pandemic on US medical students and their reactions to the AAMC recommendation to pause medical students clinical rotations with in-person patient care. The authors sent a cross-sectional survey via email to medical students in their clinical training years at six clinical schools during the initial peak phase of the COVID-19’s impact on medical education; ethical obligations during a pandemic; infection risk; anxiety and burnout; willingness and needed preparations to return to clinical rotations.

Reference

 

Stokes, D., (2020). Senior medical students in COVID-19 response: an opportunity to be proactive. Acad Emerg Med. 2020;27(4):343-5.