Design
In this page, we define the main scenario and reasoning on why such an app is being developed. Furthermore, three story boards are given as use-case examples of our app.
Scenario
Antibiotic abuse is a serious issue that has to be addressed. Many people lack the knowledge essential to distinguish between viral and bacterial infections, which leads to the overuse of antibiotics in cases when they are not necessary. Additionally, patients frequently forget to finish their antibiotic courses, which results in inadequate treatment and may contribute to the growth of antibiotic-resistant germs. In light of this, an intelligent interface will be developed to address these problems. [1]
The main objective of this project is to develop a chatbot application with knowledge about antibiotics that uses a large language model (LLM). A chatbot was chosen to be implemented due to its responsiveness and its ease of use when trying to look for information or understand a concept related to antibiotics. This chatbot will help users comprehend their particular symptoms, guide them on the best course of action and encourage prudent antibiotic use.
To help people who are visually impaired, the chatbot comes equipped with a text-to-speech functionality to help these people utilise the chatbot more comfortably. Additionally, the website allows the user to select from a list of abbreviations and notations whilst providing an explanation of what such terminology means. Such a feature will therefore allow users to clarify any misconceptions when understanding the prescription given to them by their doctor. Furthermore, the website features a map which showcases the nearest pharmacies, and the fastest routes to them. In addition to this, current research [2] mentions that elderly people are willing to learn more on how to utilise modern technology. Given this, the website was designed in a simplified manner to facilitate ease of use to elderly people. This in turn led to a multi-modal approach, this meaning that it provides both textual and auditory features to the user, while still retaining simplicity and user-friendliness. By promoting improved use of antibiotics in healthcare and informed decision-making, the Antibio-Advisor website hopes to be a helpful tool in the battle against antibiotic resistance.
Designs
01
Story Board 1
In this story board, an elderly individual is experiencing health complications and is unsure about whether or not to use antibiotics. Thus, they visit the Anitbio-Advisor website, and press the "Let's Chat" button. Upon clicking on the button, the website will direct the user to the chat-bot section whereby the user can converse freely with it. Communicating with the chatbot will allow the user to draw some form of conclusion on whether they should consult medical professional or avoid anti-biotics.
02
Story Board 2
In this story board, an elderly individual is unsure on what the doctor's prescription on his Antibiotic medication box means (For Example: 1-0-1). Hence, an individual can visit the Antibio-Advisor website and scroll down to the Abbreviation / Notation section. In this section, the individual can then choose from a set list of abbreviations and notations. Upon selecting one of the abbreviations or notations, an explanation is displayed to the user to better describe the doctor's prescription. In cases where the abbreviation or notation is not present in the given list, the user is free to discuss it with the chatbot.
03
Story Board 3
In this story board, after communicating with the chat bot on the Antibio-Advisor website, an individual wants to locate the nearest pharmacy. Consequently, the individual can scroll down to the "Find Nearby Pharmacies" section. They can then click on the nearest pharmacy marker on the map and a route from the individual's location to the pharmacy's location is displayed.
References
[1] World Health Organization, "Antimicrobial resistance," [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance. [Accessed: Oct. 2, 2023].
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[2] E. Vaportzis, M. G. Clausen, and A. J. Gow, "Older Adults Perceptions of Technology and Barriers to Interacting with Tablet Computers: A Focus Group Study," Frontiers in Psychology, vol. 8, p. 1687, 2017, doi: 10.3389/fpsyg.2017.01687. [Accessed: Oct. 2, 2023].