Epilepsy is a neurological disease in which individuals suffer from uncontrollable seizure episodes. Over 65 million people worldwide live with the condition, and it can affect 1 in 26 people at some point in their lifetime. Correctly gathering information and identifying or diagnosing whether someone has epilepsy or not, as well as what type of epilepsy they have is important in the management or treatment of their epilepsy which helps to control their seizures.
Unfortunately, most individuals with epilepsy do not have their seizures properly evaluated and controlled. In April of 2012, a report by the Institute of Medicine (IOM) “Epilepsy Across the Spectrum” identified that standard definitions and guidelines towards the assessment of epilepsy syndromes do not exist. As a result, most patients with epilepsy cannot be diagnosed with a particular epileptic syndrome, with up to 40% of patients found to have misdiagnosed for their type of epilepsy. The report found that the lack of standard definitions and guidelines affects the proper education and training of healthcare professionals that encounter people with epilepsy.
- Could standardization of data collection, guided assessment, and differential diagnosis at the point-of-care be the key to the challenges we are facing today?
- Whether the hybrid of artificial intelligence algorithms combined with the experiential knowledge of people like you be the solution?