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One concern is the reliability of user posts on social media. It is unlikely that a normal user will post about diseases on a regular basis, for example weekly. You are more likely to get info from dedicated groups such as a city’s health organizations or groups on social media related to a certain medical condition, for example diabetes or cancer. Then you could more easily spot specific trends. There may be a limited number of such groups in a certain city, however.
Furthermore, misinformation is rampant on social media, and even news sites may make mistakes. For example, there may be a health scare on a measles outbreak which make it look like the disease is happening more often than it actually is. There may be a number of posts with stories or untrue statistics on local diseases. How will the web app deal with this misinformation? Will there be a way to filter the content even further?
The text was updated successfully, but these errors were encountered:
One more issue is that, there may be a variety of drugs to treat a disease. How will the web app know which ones to recommend to the pharmacist? Will it recommend all the varieties? Will it only recommend drugs that the pharmacy normally stocks?
One concern is the reliability of user posts on social media. It is unlikely that a normal user will post about diseases on a regular basis, for example weekly. You are more likely to get info from dedicated groups such as a city’s health organizations or groups on social media related to a certain medical condition, for example diabetes or cancer. Then you could more easily spot specific trends. There may be a limited number of such groups in a certain city, however.
Furthermore, misinformation is rampant on social media, and even news sites may make mistakes. For example, there may be a health scare on a measles outbreak which make it look like the disease is happening more often than it actually is. There may be a number of posts with stories or untrue statistics on local diseases. How will the web app deal with this misinformation? Will there be a way to filter the content even further?
The text was updated successfully, but these errors were encountered: