HLT-362V Applied Statistics for Health Care Professionals Course Syllabus
HLT-362V Applied Statistics for Health Care Professionals Course Syllabus
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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.
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.
Applied Statistics for Health Care Professionals
Course Code Type Duration Credit Hours
HLT-362V v:1 Credit Based 35 Days 3.0
This is an introductory course on concepts of statistics, emphasizing applications to health care professions. The course is designed to prepare students to understand concepts of statistics and the appropriateness of statistical methods used in published research papers and a variety of settings. Areas of emphasis include an introduction to the statistical analysis concepts of variable/reliability factors; P values; experimental design; descriptive statistics, including mean, median, and mode; sampling methods; and power analysis.
You must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly. Papers with numerous misspelled words and grammatical mistakes will be penalized. Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes.
Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages.
Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor.
The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.