Customer Problem: A vast majority of Type-2 diabetes patients fail to follow the ADA recommended self-management guidelines for their disease. This includes measuring blood-glucose daily, taking medications and injecting insulin, engaging in moderate daily physical activity, watching diet for low calorie nutrition, regular checkups for eyes and feet. The situation is particular grave with older (above 65) adult population who have significant difficulties in doing the required guidelines as most lack cognitive resources, have weak problem-solving skills, and often forget. Consequently lack of doing what is necessary is causing deaths, diabetes related strokes, retinal and feet neuropathy and hospital readmission as well as incurring escalating costs ($174 billion nationally). Factors contributing to our health care system’s failure to treat diabetes include 1) barriers to controlling BG, 2) PCP’s lack of time to provide continuous patient care, 3) ineffective prevention and communication tools for physicians and patients, and 4) rising costs to provide treatment in ER and hospital readmission.
Technology:
DCL has pioneered two distinct technologies to address the above customer problem.
1. The PST platform uniquely combines data from several ambient sensors as well as body-wearable sensors to provide a rich data set of the activity of the patient as it relates to diabetes self-management. Our software monitors patient’s BG levels, medication usage, physical and sedentary activity, diet information, sleep and stress levels and generates messages as a feedback to alter patient behavior. Using text messages along with tailored weekly health newsletter, this technology has shown remarkable results in pilot studies.
2. From the various data that has been collected, we have also built an Artificial Intelligence based system using neural networks called Predictive Modeling Engine (PME) that models the subject’s behavior and can now predict blood-glucose levels 24 hour in advance. Such technology can provide warnings to subject as well as care givers (health plans) preventing glaucoma attacks or other fatal events. A web portal provides physicians access to their entire patient’s vital data in a dashboard. PST and PME together is a powerful means to lower cost of chronic disease management.
Technology:
DCL has pioneered two distinct technologies to address the above customer problem.
1. The PST platform uniquely combines data from several ambient sensors as well as body-wearable sensors to provide a rich data set of the activity of the patient as it relates to diabetes self-management. Our software monitors patient’s BG levels, medication usage, physical and sedentary activity, diet information, sleep and stress levels and generates messages as a feedback to alter patient behavior. Using text messages along with tailored weekly health newsletter, this technology has shown remarkable results in pilot studies.
2. From the various data that has been collected, we have also built an Artificial Intelligence based system using neural networks called Predictive Modeling Engine (PME) that models the subject’s behavior and can now predict blood-glucose levels 24 hour in advance. Such technology can provide warnings to subject as well as care givers (health plans) preventing glaucoma attacks or other fatal events. A web portal provides physicians access to their entire patient’s vital data in a dashboard. PST and PME together is a powerful means to lower cost of chronic disease management.