Patients Condition / Weather

Problem Statement

How clinical diagnoses correlate to weather patterns.

Methodology

Iteratively

• Data Wrangle
• Hypothesize
• Extract insights or correlation

Given a dataset of clinical conditions found in a list of clinical encounters (inpatient or outpatient)

Steps

Extract / Ingest EMR data

• This is ingested from synthetic realistic data from Synthetic Mass | Synthea
• Conditions are represented SNOMED CT codes
• FHIR formats are available for future improvements.

Extract weather data

• From Geo located patient encounters and diagnosis date.
• Extract weather data from Open-Meteo historical APIs

Do Exploratory Data Analysis

• Top 3 conditions

Data Pipeline

Using Fake but Realistic Data from Synthea

Jason Walonoski, Mark Kramer, Joseph Nichols, Andre Quina, Chris Moesel, Dylan Hall, Carlton Duffett, Kudakwashe Dube, Thomas Gallagher, Scott McLachlan, Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record, Journal of the American Medical Informatics Association, Volume 25, Issue 3, March 2018, Pages 230–238, https://doi.org/10.1093/jamia/ocx079