Week 2 - MBA 6601 - Public Health and AI

 Public Health is a field that is still growing. Since the pandemic it has been a topic of discussion in everybody's daily life. The same thing can be said with Artificial Intelligence. AI is a very new field and has made some crazy advances in the last few years since its conception. At work we had our annual safety and education day learning about what is new and research that is happening on our hospitals helicopters. While at the training we learned that we just recently flew a pig as a test patient. This pig was completely treated by AI, initiating blood, adjusting ventilator settings, establishing venous access, and monitoring vital signs to name a few advances that were done on this test flight. This was all with the assistance of AI, and very little human input. This is great advancement for both fields (University of Pittsburgh, at. el).

Just like in Air Medical treatments and transports there are a lot aspects that go into public health as well. Public health is sometimes a reactive study and needs to improve into a more proactive manner. This can be with disease surveillance. The amount of data collected can create issues with recognizing an outbreaks and thus delay the response to treatment or prevention to this outbreak. There are 1000's and sometimes millions of different raw data points being collected and this would take a long time for a human to interpret and analyze. This has been decreased with the advancement of computer and analyzing software, but still needs a humans input to interpret the results. This could be done significantly faster with the help of AI and computer. In turn this would reduce the response times for potential and current outbreaks leading to a decrease in infectious diseases. It would also decrease the amount of inaccuracies that sometimes go with human analysis (CDC, 2023).

The second advantage that I personally did not consider with AI advancements in the research of Public Health would the be subjection to bias being nearly eliminated. With issues being both positive and negative they are valid to explore. The elimination of all biases would allow for the purest form of data and analysis to be completed. But with AI having no human affection or understanding, at least right now, it could lead to legitimate ethical concerns. This is where the human interaction with research would need to be included. Oversight and using AI only as a tool is imperative to create ethical and unbiased research. Overall I think I'd agree that AI has just as much of a place in medicine as it does in business (MPH/MBA). Being in the dual program I can truly appreciate it. 

Works Cited:

Centers for disease control and prevention. (2023, July 3). Artifical Intelligence and machine llearning. Center for disease control and prevention.

https://www.cdc.gov/surveillance/data-modernization/technologies/ai-ml.html

University of Pittsburgh Center for Military Research. (n.d.) https://www.cmmr.pitt.edu/



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