BlueBeds

Inspiration

The COVID-19 pandemic is challenging the healthcare system capacity in many places in the world like Italy, New York, Spain or Ticino. ICU beds, ventilators and medical staff are the most crucial and rarest resources in this pandemic.

What we do

Our plan is to develop a system where each Swiss hospital specialized in intensive care can input information about their ICU bed availability and assessment to each case of COVID-19. The platform will also collect basic patient-data and runs a prediction model to estimate the length-of-stay of each patient in their respective ICU-bed. So, we have an estimate of when the bed will be free.

What we expect

We expect three main outcomes with this project: (i) at the hospital-level, our goal is to help with resource management (ii) at the policy-maker level, we aim to provide real-time information and predictions for decision-making (iii) at the population-level, we believe in transparency and the power of community.

What's next for BlueBeds

We are working to respond to this fight against the virus now. But we are confident that in the future we can base on our idea work on developing prediction models for different groups of disease. Considering that 19% of health expenses are spent on inpatients hospital in Switzerland, sharing experience between hospitals can improve assessment and create estimates which can help municipalities, insurances and cantons in the allocation of resource.

The Team

Pietro Ghezzi - pietroghezzi.ch@gmail.com
Natasha Savic - natashasavic@alumni.ie.edu
Lim Yee Teng - yeetenglim@gmail.com
Rachel Heyard - heyardr@gmail.com
Alexandra Stauffer - alexandra.v.stauffer@gmail.com Ana Szylovec - ap.szylovec@gmail.com

Built With

feathers.js
javascript
node.js
python
r
react.js

Submitted to

#VersusVirus

Created by

I helped in contextualizing our project in the framework of Swiss Healthcare System. I also provide some inputs related to literature review.

Ana Paula Szylovec
I was part of the Data Science team. Together with our medical expert Alexandra, I created a training dataset with ~10k medical records of Swiss mock-Covid-19 patients to be used for predictive modelling. Rachel and me co-developed Machine Learning models (Python & R), that predict how long an admitted patient is going to stay hospitalised. I think we hit an important topic as the entire world is looking at the demand side of this pandemic (how many patients are there?) and we are shedding light on the supply side (how many beds are available today & in the FUTURE?).

Natasha Savic
I recruited this awesome complementary team, explained the project idea and together we realized a great solution to solve a critical problem.
Developed the fullstack web application using React.js for the frontend and Feathers.js for the backend.

Pietro Ghezzi
eHealth Software Engineer with experience in healthcare software development
Together with Natasha, we were the Data Science Team. I discussed the potential and limitations of prediction models in the team, wrote up documentation on how the data can be collected and used, and together with Natasha tried to implement first models as good as possible, given the limited data-accessibility.

Rachel Heyard
I'm the UI/UX Designer of the team alongside with James Mitchell. I worked with the team to conduct a user experience and user journey. I designed the app interface, thought about the logo and the name BlueBeds as well as edited the video. Amazing teamwork! :)

Yee Teng Lim
UI/UX Designer with Filmmaking Background who loves Tech! Let's make something awesome together. :)
As a member of the research team, I provided the medical background information and supported Natasha creating the training data set. With Ana and Pietro, we thought about our health systems needs and tried to implement our ideas in our product.

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