Az-otrope / flushots_dashboard

Create an Immunization Dashboard using synthetic data

flu_shots_2022_dashboard

Building a dashboard presenting flu shots distribution for 2022. The datasets used in this project are synthetic healthcare data generated by Synthea.

Metrics

A. Portion (%) of patients getting flu shots stratified by

• age
• race
• county
• overall

B. Running total of flu shots over the year 2022
C. Total number of flu shots given in 2022
D. A list of patients identifying whether they received the flu shots (so we can follow up)

Requirements

1. Patients must have been recently "Active at our hospital" (have 'encounters' within the last 2 years)
2. Patients must be at least 6 months old to receive the flu shots

Dashboard (Click for an interactive and downloadable Tableau file)

Figure 1. Immunization Distribution 2022 (Synthea data).

Figure 2. SQL query example.

Using the project

Option 1: Write your own SQL + Tableau (Result files act as a guidance)

1. Load raw data files to a database
2. Run the SQL script in src/queries or write your own.
3. Download the final result table
4. Use Tableau Public (web authoring) or Desktop version to create the dashboard

Option 2: Create a dashboard Tableau

1. Use the 'flushots-results.csv' file
2. Use Tableau Public (web authoring) or Desktop version to create the dashboard

Project Organization

├── README.md          <- The top-level README for developers using this project.
│
├── processed data     <- The final, canonical data sets for modeling.
│            
├── raw data           <- The original, immutable data dump.
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
│
├── src                <- Source code for use in this project.
│   └── queries        <- Scripts to train models and then use trained models to make predictions

Licensing, Authors, Acknowledgements

• The datasets and licensing are synthetically generated by project Synthea
• Project is inspired by Josh Matlock