Another close collaboration project, which falls under Research and Development, arose with the Santa Marta Hospital. The challenge is to use a data registry of cardiac patients who have undergone a surgical intervention and turn it into a useful clinical support tool, enabling information share and analysis.
Each year, an estimated 17 million people die globally from cardiovascular disease. According to 2020 data from the American Heart Association, about 80% of premature deaths can be prevented by controlling major risk factors and making timely and accurate clinical decisions. The creation of a digital cardiac platform, enabling real-time, hands-on clinical decision support and data analysis for healthcare professionals, is of utmost necessity. The passage from “paper” to digital is thus the milestone of this project, which intends to extract information from data effectively. A significant challenge arises from the outset: to make the data robust, reliable, and reproducible (enhancing the quality and quantity of data – standardization).
The development of predictive models for “Operation Risk” and “Post-Surgery Rehabilitation” integrated into the platform is a critical point in this project, which will leverage the artificial intelligence of the Genio framework and thus develop algorithms adapted through Machine Learning tools.
Another major challenge within this project arises from obtaining large-scale data to feed the database and make the model more robust. Therefore, it is a pressing need to create a collaborative network between hospitals, research, and technology centers, which will enable an integrated system of information sharing and make the predictive models more robust and reliable.