Transforming Ultimo
How can Ultimo transform sustainably into an entrepreneurial/innovation precinct? How can we determine what support entrepreneurs need to succeed?
Go to Challenge | 4 teams have entered this challenge.
HealthLink
Project Info
Team Members
5 members with unpublished profiles.
Project Description
Data is not the key to the future.
Data does not define success.
The key to the future, what defines success, is people.
We are a data integration platform tailored for the healthcare industry, standardising the way health data is shared and incentivising collaboration between hospitals, researchers, and service providers.
Data Story
Data integration from various data sources takes 80% of a data scientist's time. We will unlock and connect these numerous data sources (including AIHW hospital records, ABS (SA3) demographic data and geospatial data) from numerous formats into a smart format like GeoJSON.
This enables users to focus on finding answers from the data; to establish new correlations, make more informed predictions for resourcing allocation, and better combat broader challenges such as antibiotic resistance and disease spread. Through this, users are incentivised to add their own data to the platform and collaborate.
In our proof-of-concept, we illustrate the significant improvement achieved via data integration and the statistical analysis such as multinomial logistic regression since made possible.
Team DataSets
ABS - Statistical Demographic Data
Description of Use This data was used to join demographic data with local government areas. This aggregation of data is to prove the concept of multiple intput datasets to visualise various data sources on our platform.
ABS - Australian Statistical Geography
Description of Use These boundaries were used to aggregate demographic data with health statistics from other data sources. The ABS statistical boundaries are used to integrate various data sources within a spatial context
Australia Institute of Health and Welfare
Description of Use This data provided the fundamental spatial dataset of hospital locations and heath related data Australia wide. We joined the datasets to assist with visualising the data. By joining attribute data using the hospital name as the common linking key, we are able to visualise trends on a spatial scale as opposed to the current tabular form.
Challenge Entries
Bounty: Mix and Mashup
How can we combine the uncombinable?
Go to Challenge | 61 teams have entered this challenge.
Healthy Communities Challenge
How might we assist councils to build healthier and stronger communities?
Go to Challenge | 49 teams have entered this challenge.
Chatbots are the Future
How can we effectively engage with open data using Chatbots?
Go to Challenge | 11 teams have entered this challenge.
Bounty: Industry meets Academia
How can we overcome the cultural differences between business and researchers to encourage innovation and collaboration?
Go to Challenge | 12 teams have entered this challenge.
What do you want from government data challenge?
How should NSW government best provide data to the developer community? Show how our data can be made more usable for developers. What quality or format or standardisation issues does government need to fix or to consider? What developer community needs does the government need to support better?
Go to Challenge | 13 teams have entered this challenge.
Bounty: Integrating AIHW
How can we integrate AIHW and other data sources in interesting ways?
Go to Challenge | 28 teams have entered this challenge.
Spatial data challenge
How can spatial data be leveraged to provide the best community outcome? How can this mapping data be used to deliver value to the people of NSW?
Go to Challenge | 14 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.
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.