CareMate

Project Info

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Team Members


Ruoxuan Li , Yixuan Guo , Lingzhi , MASOOM PATEL , Chuchu , Ahmad AlHajji , Mike

Project Description


The epidemic has had a huge impact on australia. Depression and other mental health issues have risen and we witnessed a shortage in healthcare staff. The elderly are among this almost effected, yet they are among the most vulnerable. Access to medicine, treatment and othe important services has been a challenge for the elderly; including access to doctors.

Luckily, we have an excellent team with experience in AI, remote dignosis technology, and brings our solution-CareMate. It is a health care app designed for the elder, and integrates funtions like remote diagnosis and medicine/grocery delivery.

We always care.


#covid19 #theelder #health #care #pandemic #delivery #remotediagnosis

Data Story


Data was collected respectively in order to deduce why our app is significant during this pandemic.

Yearly age increase of data was analysed, seeing a significant increase in aged people over the past 2 decades.

We analysed the population of all states and the expenditure the government spends on aged care. This went hand in hand signifying that more the population, more expenditure. However with increase in population, the resources at the hospitals for aged people were declining.
Looking at the trend of Home/Residential/Transition Care, showed steep increase in Home Care.
Also we analysed the user experience in aged care with different symptoms.

For further details: https://docs.google.com/document/d/1jfTuS7_kJKLwCHeCc9loW6zLhLrwf3_AUQ-ydy92nqw/edit


Evidence of Work

Video

Homepage

Team DataSets

Aged care data

Description of Use See the data in github.

Data Set

Challenges

Predicting unusual and unexpected surges in demand for health services

How can publicly available data be used to predict unusual and unexpected surges in demand for health services that could be avoided and identify opportunities to intervene?

Go to Challenge | 4 teams have entered this challenge.

Data Driven IoT Insights for sustainable communities

How can data from connected devices on the wireless Internet of Things (IoT) network be used to make our community spaces - our homes, towns, cities or region - more efficient and sustainable?

Go to Challenge | 14 teams have entered this challenge.

Caring for the Aged in COVID Times

How can we reimagine the aged care experience

Go to Challenge | 18 teams have entered this challenge.

Find hidden gems within COVID-19 lockdown

The new restrictions on movement in Melbourne have caused increased stress for Victorians. How can we use currently available datasets to show our fellow Australians what is already available for their quality of life within their 5km radius?

Go to Challenge | 13 teams have entered this challenge.

Connecting our community in an emergency with mobile messaging

How can our local leaders use mobile messaging to connect with citizens in a safe, reliable, and effective way for emergency communications?

Go to Challenge | 16 teams have entered this challenge.