The scholar is almost euphoric when he talks about the many uses of this medical evidence: “In the future, we will be able to treat kidney disease even more effectively, individually and accurately,” he says with confidence.
“We will see the emergence of smart therapies that are tailored to the individual needs and characteristics of the patient,” he adds. “It will be possible to develop personalized treatments that use not only existing clinical trial data, but also valuable real-time information from fitness monitoring devices, dialysis machines and other devices.”
Even today, Usvyat’s team regularly analyzes hundreds of data points to predict which patients may need hospital care and which patients are at increased risk of infection. Preventing these events leads to improved patient outcomes and quality of life, which also benefits health systems.
At the patient’s bedside
However, these data are not only useful for clinical prediction, but also help in organizational matters: for example, traffic data can be used to improve route planning for clinical or home visits to patients, while weather data can be used by analysts to identify patients who, due to adverse weather conditions in their area, are unlikely to attend the next dialysis session. Patient life data can also be used to determine if dialysis at home might be a reasonable treatment option for them.