Diagnosis Stratification Tool (DST)

Diagnosis Stratification� (DST)

is an algorithm based clinical evaluation tool that can identify undiagnosed patients with a high likelihood of having a Long Term Condition (LTC). It uses past medical history of a patient and estimates the probability of each patient to have an LTC.

A CASE FINDING TOOL FOR CLINICIANS

To put it simply, the algorithms are based on AI and use millions of clinical patterns from patients with a LTC during training. Once training is completed, the same algorithms can be applied to patients that do not have a diagnosed LTC but present similar patterns to patients with a LTC. Depending on how closely those patterns correlate, a probability percentage is calculated. The table below shows the number of patients identified with undiagnosed conditions for three confidence intervals for various LTCs in England. Patients within the 90% confidence interval would benefit from accurate diagnosis, patients up to 80% may be invited to clinics and patients up to 70% may be invited for targeted screening programmes.