Introduction
Currently, statistical methods are used in every aspect of health services. Today, statisticians are involved in the design and analysis of studies on health services and their results, a traditional and widespread practice. In particular, the modern principles of clinical research were laid down and still correlate with the seven conditions for statistical drug research established in the Middle Ages by Amirdovlat Amasiaci.
Amirdovlat Amasiaci’s Conditions for Statistical Drug Research
The outstanding physician and naturalist Amirdovlat Amasiatsi paid special attention to conducting statistical research in the field of healthcare. The first condition he established for statistical testing was that the tested medicine was used in its pure form (Kaul et al., 2020). The second condition was that when testing one drug, it should be given to a patient close to the average (Kaul et al., 2020). The third condition was that one drug should only be examined for one disease, not two or more (Adamopoulou & Moussiades, 2020).
The fourth condition was that when a medicine turns out to be useful for several diseases, it should be checked whether this action is only for it (Esterwood & Saeed, 2020). The fifth condition is that the strength of the medicine should correspond to the strength of the disease. The sixth condition is to take into account the time of year when the medicine works. The seventh condition is that when these drugs are administered, their effect will be permanent.
Conclusion
The principles of statistical testing highlighted by Amirdovlat Amasiatsi are still used today. They are used in areas ranging from the statistical observation of different variables, such as the population’s morbidity, to the analysis, modeling, and forecasting of these indicators of drug effectiveness. The foundations laid by him for the correct formulation and planning of statistical research in the field of health services have contributed significantly to the advancement of medicine.
References
Adamopoulou, E., & Moussiades, L. (2020). Chatbots: History, technology, and applications. Machine Learning with Applications, 2(15), 97-120. Web.
Esterwood, E., & Saeed, A. (2020). Past epidemics, natural disasters, COVID-19, and mental health: Learning from history as we deal with the present and prepare for the future. Psychiatric Quarterly, 91(7), 1121-1133. Web.
Kaul, V., Enslin, S., & Gross, S. A. (2020). History of artificial intelligence in medicine. Gastrointestinal Endoscopy, 92(4), 807-812. Web.