Data gathering and analysis play a vital role in the accumulation of knowledge on healthcare. Medical studies are commonly based on numerical information, as it provides the foundation for key factors which are needed to be researched, such as prevalence and incidence rates, the effectiveness of interventions, and countless other aspects (Bruce et al., 2018). Health information is being actively collected for research purposes, as its practical application defines future breakthroughs. For example, mortality statistics can reveal critical underlying factors that cause variations in outcomes, such as the difference in lung cancer outcomes between the United Kingdom and Australia (Bruce et al., 2018). Comparing such data enables healthcare workers to determine a way through which this parameter can be influenced for the betterment of public health.
Quantitative research continues to prove its usefulness in disease studies throughout humanity’s history. Statistics can highlight the dangerous conditions that lead to poor outcomes and help scientists across different fields of specialization to cooperate in creating a feasible solution (Bruce et al., 2018). When a phenomenon reveals itself to healthcare professionals, they can utilize quantitative research to rationalize the ongoing event with precise calculations. For example, the connection between air pollution and the U.K. population’s health prompted the government to establish the National Air Quality Strategy based on statistical evidence (Bruce et al., 2018). Interpreting data is the key component of numerous improvements that have been implemented in society through such a mode of study. By using modern technology in the development of new solutions, humankind can progress in the field of medicine. In conclusion, statistics enable healthcare professionals to conduct qualitative research that establishes various connections between factors affecting one’s health and the outcomes stemming from them.
Reference
Bruce, N., Pope, D., & Stanistreet, D. (2018). Quantitative methods for health research: A practical interactive guide to epidemiology and statistics (2nd ed.). John Wiley & Sons.