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Challenge Overview

INTRODUCTION
This is the fourth in a series of challenges to develop a desktop web application to enable artificial intelligence aided dental diagnosis and treatment planning.  We will be using IBM’s Watson to provide the computer learning aspect of the application.

USE CASE
Dental offices and individual practitioners who wish to increase diagnostic accuracy and create evidence based treatment plans.  Staff should be able to upload radiographs, pocket depth probing scores, and high definition photographs for Watson to review and aid the dental professional in diagnosis.  Once the diagnoses are established and confirmed, a treatment plan would be co-created with Watson.

REQUIREMENTS
For this challenge, you will be updating the existing project with the additions/changes listed below.  The project is built on the MEAN (Mongo, Express, Angular, Node) stack.

Diagnosis Detail
At the bottom of this screen, the current “Create Treatment Plan” button simply saves the diagnosis.  Update this functionality to navigate to the view with the treatment plans.

Treatment Plans
Add treatment plan functionality back into the system.  These should be accessible once clicking the button mentioned above.

Treatment plans should be able to be created according to the condition/treatment mapping spreadsheet located in the challenge forums. We’ll need need this mapping loaded into the database for reuse and additions later in the project.  This data corresponds to the information entered by the user for the diagnosis.

In addition to the data in the spreadsheet:
-- 5+mm probing depths with bleeding on probing requires scaling and root planing (by quadrant) - warrants a condition of periodontal disease
-- Oral pathology requires a referral to a specialist

We’ll be using the Watson Tradeoff Analytics service for suggesting treatment plans based on the information specified in the diagnosis. In the challenge forums you’ll find a spreadsheet containing a fee schedule for available procedures.  We’ll need these loaded into the database in order to pass these to the tradeoff analytics service for analysis.

In the user interface we’ll need a toggle to switch between insurance and regular fee schedules.  Generated treatment plans should be editable following creation.

SETUP
-- See the challenge forums for details on adding yourself to the BlueDot Dental GitLab Group
-- Fork the repository and use the tc4 branch for the basis of development
-- Add harrywynn as a member of your forked repository with Reporter access
-- Tradeoff Analytics API credentials are located in the challenge forums



Final Submission Guidelines

-- Dump of procedure fee schedule and condition/treatment mappings collections from the database
-- Any other sample data required to run your submission
-- Upload your source project and supporting files as a zip archive

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