The total number of people suffering from ‘Diabetes’ has risen from a 108 million in 1980 to 422 million in 2014, and research reports show that the global prevalence of diabetes* among adults over 18 years of age has risen from 4.7% in 1980 to 8.5% in 2014. Diabetes prevalence has risen more rapidly in developing middle and lower-income countries and it has proved to be a major cause of early blindness, kidney failure, early heart attacks, early stroke, as well lower limb amputation leading to decreased productivity.
Diabetes is a chronic disease that occurs either when the pancreas does not produce enough insulin, or when the body cannot effectively use the insulin it produces. Insulin is a hormone that regulates blood sugar in the body. Hyperglycaemia or raised blood sugar is a common effect of uncontrolled Diabetes and over time leads to serious global damage to many of the body’s inner systems, especially the nerves and blood vessels. In 2014, 8.5% of adults aged 18 years and older had Diabetes. In 2012, Diabetes was the direct cause of 1.5 million deaths and high blood glucose levels were shown to be the cause of another 2.2 million deaths.
Reducing the burden of diabetes
This huge burden of diabetes can be reduced through increased awareness, adequate prevention, timely diagnosis, and prompt treatment. For the number of people suffering from Diabetes, with the available ratio of doctors and their time, it becomes extremely important that all patients suffering learn to manage the self with respect to awareness, prevention, and diagnostic assistance. This helps the crop of doctors to advise more patients and focus more on the right treatment.
Bots working with specific healthcare data can help such patients manage their disease (as here, Diabetes), and in turn, update the concerned doctor as to whether any attention or immediate treatment is required.
Quahog Bots communicate with such patients in natural language and is capable of answering patient queries on symptoms, the causes, diet and, other everyday questions. Based on the symptoms reported, bots can recommend relevant tests, and based on these test results can help detect a probable Diabetic or a more specific pre-diabetic scenario.
The in-built sync with the Quahog ReQo recommendation app will help the bot manage the required diet regime for the suffering patient. Compliant patients who check blood sugar levels on a regular basis can also share readings with the bot for any diet recommendation along with periodical analysis of past data recorded. This resultant data will become highly useful for the treating doctor who can read glycemic patterns of the patient and accordingly plan treatment, medication or required insulin management.
The bot application can be easily accessed on your mobile phone or your desktop. Doctors can use these bots as their personal ‘front desk service’ or as kiosks and thereby offer better management of the available doctor’s and patient’s time.