![]() For the most part, these apps use artificial intelligence to collect data remotely but still rely on high-cost healthcare providers for clinical analysis and, more importantly, coaching. While digital health apps have lowered the barriers to provider encounters, scalability is still limited, and cost remains an issue. To date, the digital health landscape is still focused on developing products to bridge gaps between healthcare providers and diabetes users. However, for chronic conditions like diabetes, it’s all the small decisions made throughout daily life by the patients themselves that drive successful management. These apps have increased the frequency of encounters between providers and patients from a few times a year to multiple touchpoints within a week or even a day. These are valuable improvements, but much more lies ahead. They leveraged this new telehealth medium to reach patients outside of the healthcare setting and leveraged AI to increase patient monitoring and help medical guidance in the real world. ![]() In the virtual Scientific Sessions of Endocrine Society 2021 held this past week, a symposium entitled “ Data Overload - How to Integrate Diabetes Technology Into Your Research and Practice ” highlighted the current status of diabetes management mobile apps. Op-Med is a collection of original articles contributed by Doximity members.ĭigital health apps for diabetes have made strides in addressing key challenges from access to engagement and cost of diabetes care. ![]()
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