This data visualization conveys how artificial intelligence (AI) and machine learning (ML) impacted healthcare in 2022 by displaying its effectiveness across multiple categories. I think the presentation of this data is very clear through this visual and shows a good representation of AI’s impact on the medical field. The visualization was produced by Insider Intelligence which is a market research company, and the data was supplied by a software company known as Innovaccer. I tried looking for the original data set used to produce this visual but was unsuccessful in my findings. I think the audience here would be the general public who may be curious about how effective AI is in the realm of medicine. An individual to come across this visualization would easily see the effectiveness on AI through the opinion of healthcare executives.
It is possible that this data is biased as it is solely looking at the opinions of those in the healthcare field so depending on whether they feel AI has a place in medicine they will likely answer accordingly. Those who are excited about the role of AI and the benefits it could have would likely say that it was effective regardless of whether it actually was. However, those health care workers who are strongly against the idea of AI in medicine are going to be more reluctant to say it had been effective in their practices or hospitals across those six categories. I think it would be interesting to compare these results to the job title of those providing the data. By drawing this comparison, it may be possible to see a correlation between what kind of people are or are not supporting AI. Overall, I do think this visualization is effective as it is very reader-friendly and can easily be interpreted. Immediately as a reader, I can see that the data generally did not populate in either extremes of the spectrum but rather was contained to the middle, which was reflective of “often effective” and “sometimes reflective”.
