Chatbots are the Future
How can we effectively engage with open data using Chatbots?
Go to Challenge | 11 teams have entered this challenge.
Team Name:
Lucky Shot
Team Members:
Don't Make Me Wait
Project Info
Team Name
Lucky Shot
Team Members
6 members with unpublished profiles.
Project Description
A chatbot to help people make better decisions about where to go when they have a medical emergency.
Data Story
Medical emergencies are triaged by hospitals depending on the severity of the condition. This affects how long a patient must wait in an emergency department.
We use data from:
data.nsw.gov.au (Emergency department by Local Health District)
health.nsw.gov.au
Google APIs
Through a simple chatbot interaction, we help people find the hospital where they are likely to spend the least amount of time waiting to be treated.
As a result we hope to reduce bottlenecks in emergency department waiting rooms.
Team DataSets
Emergency Department waiting times in major NSW hospitals
An Emergency Department Patient Flow Model Based on Queueing Theory Principles [Jennifer L. Wiler, MD, MBA, Ehsan Bolandifar, PhD, Richard T. Griffey, MD, MPH, Robert F. Poirier, MD, and Tava Olsen, PhD]
Hospital Quarterly: Performance of NSW Public Hospitals July-September 2014, 2016, 2017
Challenge Entries
Save Lives With Data
How can we use data and technology to better the health of the Australian population, and what could be the economic impacts?
Go to Challenge | 35 teams have entered this challenge.
Data4Good
How can open data be used to make a social impact, contributing to the betterment of society? How can we improve prospects for children, and education, using open data? What sort of impact can be made on homelessness, mental health outcomes, or the environment, using open data?
Go to Challenge | 19 teams have entered this challenge.