Medical Applied Analytics
This real-time, data-driven storytelling application helps nurses and doctors to interpret their patients’ data through comprehensive visuals. Consequently, it helps healthcare providers to draw up a suitable and complete treatment plan more quickly.
Healthcare providers are increasingly suffering from excessive workloads. Registration burden is one of the biggest causes for two reasons. Firstly, patient data is generated from a wide variety of sources and diagnostic tests. These data are typically entered – and also reviewed –at different (digital) locations, causing the data from these various sources to be poorly integrated. Related data are therefore often not visible in one place. Secondly, there is a data overload, which causes more distraction than clarity. The healthcare providers lose track of how their patients are doing, which complicates decision making on how to provide appropriate care. The UMC Utrecht came to us with the question: How can we use data in a smart way to significantly reduce the workload of healthcare providers?
Together we found the answer in Daniel Kahneman’s quote: “No one ever made a decision because of a number. They need a story”. As with the Big Data 4 Small Babies project, we used data analytics to help healthcare providers to interpret all data faster and to create a visual story. UrSmartStatus allows for directly filtering information that is not important for daily care, and insightfully compares the patient’s status with patients from the past. Consequently, it helps healthcare providers to draw up a suitable treatment plan more quickly without missing out on anything.
* This application was made in collaboration with the UMC Utrecht designers
Open source (React, Python)