Telemedicine

Telemedicine helps eliminate time and distance barriers that occur when patients live far from quality care. It improves remote patient access to medical services.

Telemedicine – clinical care, at a distance.

Telemedicine is the exchange of medical information from one site to another via some form of electronic communication including email, fax, specialty application, video and other forms of telecommunications technology. The goal of telemedicine is to improve a patient’s clinical health status by providing more efficient and rapid assessment of a patient’s health data.

Telemedicine is a growing field. The use of telemedicine has spread rapidly and is becoming integrated into the ongoing operations of hospitals, specialty departments, home health agencies, private physician offices as well as consumer homes and workplaces.

Telemedicine can be applied to many different healthcare use cases. Some scenarios in which telemedicine applies include using telemedicine for consultations or “second opinions,” for remote patient monitoring, for peer-to-peer support and for education. In all of these cases, technology is at the forefront to deliver support, advice, and information.

Telemedicine can give people who live in remote areas, are homebound, are in school or in other ways not able to access healthcare support, access to healthcare that would likely not be accessible otherwise.

Why use Glooko for your Telemedicine solution?

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Glooko enables timely care delivery to patients and health plan members with diabetes. Glooko’s Population Management application enables healthcare providers to track, manage and engage with their diabetes patients from afar, without those patients needing to engage face-to-face. Through the power of the mobile cloud, care teams can remotely access everything from patient blood glucose data to how their carb intake, medications and exercise correlate to their blood glucose fluctuations. Additionally, they can see this data on an individual or population-level, with flags that risk-stratify patients with an affinity toward hyper or hypoglycemia patterns. With this data, healthcare providers gain insights to help them determine what type of treatments, such as medication, diet and exercise, they should recommend to a patient based on their diabetes-relevant data.