shaneahern/patient-enrollment

Pine Park Health Coding Challenge

Coding Exercise

A simple React app with an Express.js server has been setup to help you get started. You should fork this repo and complete the following tasks. You may use any libraries you like to complete the challenge.

Please limit yourself to no more than 2 hours for this project, we want to be sure to respect your time. We appreciate you taking the time to complete this challenge and look forward to reviewing your submission.

Getting Started

Before getting started, you will need to have nodejs installed on your machine, this project has been setup to work with nodejs version 18.17.0. If you use asdf we've included a .tool-versions file to help you get setup if you're not using asdf you can install nodejs here.

To start both the React app and the Express.js server, run the following commands in the root of the project:

1. npm install
2. npm run dev

Exercise Tasks

Task 1: Display all the patients in the database on the /patients route in the React application

Acceptance criteria:

• Patients are displayed as a table with the following columns:
  • id
  • name
  • enrollmentStatus
• Table has a header above it that says of "Patients"

Task 2: Add a button that will create a patient in our in-memory datastore

Acceptance criteria:

• Button is labeled "Add Patient" and is located above the table of patients in the right hand corner
• The form to create a new patient accepts the following required inputs:
  • name (text field)
  • enrollment status (dropdown with options: "Prospect", "Insurance Eligibility Verified", "Enrollment Contract Signed", "Patient Record Created", "Intake Appointment Scheduled")
• When the form is submitted, the patient is added to the in-memory datastore and the table of fakeDatabaseData is updated to include the new patient

Task 3: Display the risk adjustment score for each patient in the table of patients

Acceptance criteria:

• Display the computed risk adjustment score (RAF Score) for each patient in a new column named "RAF Score" in the table of
• Compute the risk adjustment factor score (RAF Score) for each patient by using their patientRiskProfile records & the following equation

  RAF Score = ∑(demographicCoefficients) + ∑(diagnosisCoefficients)
  

• If no risk profile data exists, display "N/A" in the column

Task 4: Calculate & display the risk profile segment that has the highest average score across all patients

Acceptance criteria:

• Display the risk profile segment name ("CFA", "CFD", "CNA", etc.) that has the highest average RAF Score across all patients. The segment name along with the average score for that segment should be displayed below the patients table.
• The same equation as task 3 will be used to calculate the RAF score but this time records should be grouped by segmentName instead of patientId when calculating the RAF score