Could you share an example of COVID-19 research and how Tableau is being used?
Castor has made its EDC platform available for free to any non-profit research associated with Covid-19. And Tableau is an integral part of that. This is especially true in the case of the COVID-19 Predict study, a collaboration between doctors and researchers in the Netherlands to better understand and predict which COVID-19 patients should receive which treatment and which type of care. We’re ensuring the optimal allocation of limited hospital resources and making certain the most grievously ill patients receive the highest level of care.
Our EDC system is helping the Covid Predict consortium to easily capture data from multiple sources – it currently comprises more than five million data points. Algorithms for predicting disease outcomes are being created and tested with data that is retrieved in real-time through Castor’s API, which enables integration with a wide range of other platforms. These algorithms assist in predicting the probability that a patient will require intensive care, and if so, what the likely outcome will be.
Tableau enables people to understand all this quickly and easily. It provides an overview of admissions to the Intensive Care Unit (ICU), medium care unit, and hospital wards, as well as visualising patient outcomes and complications. One crucial dashboard, for example, shows the demographic age profile of admissions, the average admission duration, and the number of individuals either discharged from hospital, hospitalised, transferred, receiving palliative care, or who have sadly passed away.
This is remarkable and valuable work. What role has Tableau partner The Information Lab Netherlands played in supporting these projects?
All of this is made possible through the trusted partnership with Tableau, the expertise of The Information Lab, and Alteryx. In just a few days, for instance, The Information Lab created these incredibly powerful visualisations which are ultimately helping to reduce hospital crowding, protect staff, and prioritise patients that need to be hospitalised.
How important is it that healthcare providers become more data-driven?
Everyone needs to come together with a shared mission to see data as a trusted asset. Once data flows freely between researchers, clinicians and others, for example, it becomes possible to shrink research cycles and improve healthcare outcomes. Data is also everyone’s responsibility. We all need to be committed to using data to make better decisions.