The Impact of Handwashing on Hospital Mortality Rates: Using Machine Learning

by Shivam Kashyap

this research readdresses the issue of the germ theory and its founder Dr. Ignaz Semmelweis and his discovery about the impact of hand washing on mortality rates in hospitals. Ensuring that the findings of Semmelweis are authentic and pointing at the importance of the sanitary measures in the healthcare systems, the analysis of the historical records and the use of the modern statistical methods are the key goals of the research

Our methodology includes:

  1. Data Collection: A study by assembling statistics of mortality, which occurred in hospitals, as well as the ones that occurred after the implementation of handwashing  procedures.
  2. Statistical Analysis: Analyze the data using the modern statistical techniques such as hypothesis testing and confidence interval estimation.
  3. Visualization: To provide a clear understanding of the results and the extent to which hand washing affects mortality, it will be pertinent to use graphical display of the data.

Consequently, the results correlate to Semmelweis’ findings, identifying a significant decrease in mortality rates after implementation of washing procedures. In the same way, the concerns and skepticism which refute Semmelweis reveal the challenges which can be faced when introducing new medical practices.

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Such conclusions highlight the importance of hygiene measures in reducing the rates of HAIs and improving values for the patients. The study also reminds of the necessity of basing all medical decisions on science and readiness to adopt new procedures stemming from empirical evidence. Besides, the study contributes to the historical perspective of medical advancements and the unceasing efforts to improve the standards and safety of health care delivery.

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