DataRobot Leverages AI to Assess Risk of Illness in Patients
Healthcare professionals are frequently confronted with the overwhelming responsibility of sorting through copious amounts of data from diverse origins to determine if a patient is susceptible to a particular ailment in the future or if they have already contracted it. This can be problematic when making critical decisions or identifying high-risk patients, resulting in wasted time, delayed diagnoses, and potentially adverse consequences.
To meet this challenge, the DataRobot AI Platform aims to integrate all types of data from different sources into a unified system across the organization. This platform delivers fast results while ensuring transparency, security and built-in control. In fact, the company says, “We’re leading the way in value-based AI—a unique and collaborative approach to AI.”
“DataRobot uses artificial intelligence to identify patients with a high probability of developing a particular disease, as well as appropriate treatments to improve outcomes,” the company says in a statement.
DataRobot uses artificial intelligence to enhance disease propensity modeling with the aim of identifying patients belonging to the risk group, improving results and reducing overall healthcare costs. By understanding the specific pathways of a patient’s disease and its potential progression, healthcare providers can use simulations to evaluate the effectiveness of different treatments in preventing serious outcomes. These predictions can be created early in the process and continuously updated as new information becomes available, allowing providers to adjust treatment plans, minimize adverse effects, and increase the patient’s chances of recovery.
It’s important to note that DataRobot’s predictive models are intended to complement the diagnoses made by doctors and healthcare providers, not to replace their medical expertise, the company claimed. The goal is to draw attention to high-risk patients or those who might otherwise be overlooked, allowing providers to consider follow-up.
