As a lifelong diabetic, I have been testing my glucose levels for decades. Over the years, the accuracy and simplicity of obtaining my figures has drastically improved. I used to determine a rough glucose range using a chemistry lab environment in my bathroom: comparing colors in a test tube to a printed color palette. Now I have a continuous blood glucose sensor which records my relative glucose levels every five minutes and wirelessly shares this information with my insulin pump, as well my wife and doctor. My health has improved and my wife worries less, but a more complete picture of my health would help. For example, the quality of my exercise and meal data varies wildly (mostly due to the effort required to keep them up to date). In addition, I do not have a way to pull all of them together in an easy and meaningful way. Many pharmaceutical, biotech and device customers are expressing interest in engaging new sources of data, including that from IoT, but live and scalable sources of IoT data that can be useful, rather than just a curiosity, are currently pretty meager.
To enable this next generation of healthcare analytics, Teradata has entered into a new partnership with healthcare IoT company Reemo, which links existing IoT platforms, as well as proprietary motion and gesture tracking, to provide in-home monitoring & communication with medical professionals. Combining Teradata’s extensive experience in industrial IoT and our deep knowledge of healthcare analytics with Reemo’s real time data removes the current barriers that have limited the adoption of the Internet of Things in healthcare. The result is practical and actionable insights through advanced analytics that can change current treatment paradigms; reduce unnecessary patient interventions; predict, intercede and prevent illness; or even create entirely new interventions.
Reemo’s focus is on improving the quality of life for seniors and patients with chronic pain or mobility illnesses, as well as their families, caregivers, and payers. These advances will be particularly meaningful for the growing elderly population, as adult children of the elderly living alone or in health-care facilities want to see how mom and/or dad are doing. Likewise, the caretakers in assisted living centers want to provide the best quality care, and ensure staff are focusing their time and attention where it is needed the most. Again, the integration of data poses a similar challenge in the setting of elderly care and chronic care conditions.
To combat that challenge, Reemo uses a holistic approach. It ranges from understanding how to keep a IoT sensor in place, to using that data to drive action from the user, family member and caregiver, thus delivering value to the businesses entrusted to improve the lives of the elderly. Because data is captured continuously in the patient’s natural setting, it can fill current gaps in real world data and, through advanced analytics, can lead to new insights and treatment paradigms.
Of course, the application of IoT data into healthcare will be meaningful for everyone. In my case, food intake, activity levels, insulin levels and corresponding glucose levels can be combined behind the scenes to proactively provide me with alerts and guidance based on my current and past readings. Rather than simple reminders to jog, this future solution will motivate me to exercise by projecting the improvements in my lab results. Likewise, it will help me realize that having dessert will have consequences that are both measurable, and visible to my family and doctor. This can be applied to anyone seeking to better their health and yes, sometimes the stick is more impactful than the carrot.
Sensors are undoubtedly going to continue to proliferate, and when they bring convenience to people, they will be adopted more and more. Collected real world data from these sensors, combined and correlated with traditional data collected in clinical settings, has enormous potential to drive improved care, sense of personal well-being and better outcomes. All of which can be measured in a virtuous circle.
Pete Obringer has been architecting large scale systems for decades, starting with financial services and ending in B2C websites. He began his Teradata journey as a customer at Cisco systems for 6 years, later became a Teradata employee 2 years ago supporting high-tech and manufacturing customers, and now drives partnerships creating real-world analytics powered by Teradata. He is married with two daughters.