This document discusses how sharing health and environmental data can promote well-being. It describes using monitoring results from wastewater treatment plants to profile plant performance over time. Machine learning models could help speed up the verification and quality assurance process for environmental data. For data to effectively support health, it needs to be reliable, timely, and presented in a way that is easy to understand and can inform decision-making.

1. Sharing Health &
Environment Data to
PromoteWellbeing
Fiona O’Rourke f.orourke@epa.ie
ENVIRONMENT, HEALTH &WELLBEING CONFERENCE 2018
6th November 2018

2. Introduction
Visualisation
Earth
Observation
Spatial
Analysis
Data Analysis
Working with others

3. Data for
prevention
 UrbanWasteWater Score-carding
 Use monitoring results from before and after the treatment plant
to continuously profile how a plant is performing
Stable Improving
Starting to
deteriorate
Deteriorating

4. Data for action
Time Quality

5. Data for action
Data Sources
Machine Learning Model
Output
Classification, prediction etc

6. Data for action
Can we use machine learning to speed up the
verification and QA process?
Data Sources
Machine Learning Model
Output
Classification,
prediction etc
QA andVerification

7. Data for action
Can we use machine learning to speed up the
verification and QA process?
Part of QA and
Verification
process

8. Sharing Data
for Health
Reliable
Timely
Helps you to
act
As close as possible to when it
actually happened
Good enough quality
Easy to understand and use to
act or to make a decision
Questions: f.orourke@epa.ie