susu_fast_track_gem

SusuFastTrackGem

AUSDRISK tool for health professionals to access patients' risk of type 2 diabetes.

Installation

To install this gem using terminal :

1. Install rbenv by typing the following into terminal: brew install rbenv

2. Set up rbenv by typing into the terminal:

   rbenv init

   Close the terminal

3. Open terminal and check that rbenv is properly installed by entering the following into the terminal: curl -fsSL https://github.com/rbenv/rbenv-installer/raw/master/bin/rbenv-doctor | bash

There should be no errors.

1. Enter the following into the terminal: rbenv install 2.7.0

5.Enter the following into terminal:

rbenv global 2.7.0

6.Enter the following into terminal:

ruby --version

version 2.7.0 should show, ruby is successfully installed.

1. And then execute:

   $ bundle install

Or install it yourself as:

$ gem install susu_fast_track_gem

Software Requiremets

The computer must be a MAC OS and follow the installation instrutions as above under installation.

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/susu_fast_track_gem. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the code of conduct.

License

The gem is available as open source under the terms of the MIT License.

Code of Conduct

Everyone interacting in the SusuFastTrackGem project's codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.

User interaction with application

Menu : Health care professional will have the option to :

1. Do the AUSDRISK test
2. View patient data
3. View diabetes targets
4. Exit the test

If the user selects 1: The user will go through the ausdrisk quiz in which they either answer yes or no questions or select the options using 1,2 or 3 .

If the user selects 2: THe user will be able to view data.They have the option to -

Look up all patient history. The user must type in the patient's name to search for the history

Update the patient. The user must type in the patient's name then manually type in their new score.

Delete the patient. The user must type in the patient's name.

If the user selects 3 The app will open some documentation regarding glucose targets for non diabetics.

Referenced sources

Australian type 2 diabetes risk assessment tool (AUSDRISK) link:https://www1.health.gov.au/internet/main/publishing.nsf/Content/chronic-diab-prev-aus/$File/austool5.pdf

Blood glucose levels: https://www.diabetesaustralia.com.au/blood-glucose-monitoring

Source code repository

https://github.com/ssfung/fast-track-gem.git

Statement of Purpose

This application is created for health professionals such as doctors, nurses or pharmacists to help quickly determine a patient's risk of type two diabetes following the AUSDRISK assessment tool. This AUSDRISK tool is a questionnaire assessing a patient's lifestyle habits, waist measurement, age, medical history and ethnicity in order to determine their risk. These are important factors which can be modified in order to reduce a patient’s risk of type 2 diabetes. The tool will tally up all the points collected and place the patient in low, medium and high risk.

Healthcare professionals can use this application as a means to accurately add up the patient's risk rather than manually completing it hence reducing the risk of miscalculation which may be common during 15 minute consultations at the doctors.

The application has the ability to store patient's name and their score, update their score by manually entering it and to also delete the patient's record. There is also a table included which is to outline the normal HBA1C range and blood glucose range as a friendly reminder for the healthcare professional if they are looking for a quick reference guide.

Doctors can access this tool by visiting my github page and download via the terminal line to their computers. After installing the program, they are able to use the menu to go to do the following options:

1. Ausdrisk tool
2. View the patient's records, by searching for the patient's first name. A patient's score can also be updated by firstly searching for the patient’s first name then inputting the new score. Lastly the clinician can also have their patient’s record deleted if needed.
3. Table for healthy range diabetes parameters for non diabetics
4. Doctors can exit this program

Features

1. Ausdrisk quiz The AUSDRISK quiz is comprised of if loops to prompt a yes or no answer from the user. There is also a case statement for the user to select options 1-3 if a yes or no answer is not required. In order to prevent errors such as typing in a number or non-valid answer when a yes/no answer is required, the loop will put ‘wrong user input’ and repeat the original question until a valid input is attained.

2. Storing patient details such as name, ethnicity, gender and score
   The user's details are initially blank then as the user goes through the quiz, details such as ethnicity, gender are saved. This step is especially important, as the user has to have the ethnicity and gender saved in order to answer the waist measurement question. The points accumulated are saved at each step of the quiz by adding the points the patient gained in each step to the total. This reduces the use for asking the same question again at the waist measurement step (gender and ethnicity are required in order to answer this question).

3. Storing, updating patient details After the AUSDRISK quiz is done, patient's details are pushed into a CSV file and recorded. This allows a user to view the history of other patients. Another feature that is used is to update the patient's score. The csv data is put into an array which can be accessed via asking for the patient's name and searching for that array. User can override the previous history by entering the new value. Furthermore, the patient's details can be deleted by using delete function for arrays. The user then is returned to the view patient page and can exit then.

Control Flow (UML GRAPH)

Project Management tool (Trello)

Please use the link below to see how I planned the app: https://trello.com/b/zsc3W9gX/terminal-app

Manual Testing

Manual testing was done to test the app. Please kindly click the link below to view: https://docs.google.com/spreadsheets/d/1PtMvniPatgDjO9aTjCvsZXQBiMGvjynCTeK8o0_nDos/edit#gid=0