Tag Archives: Smartphone Apps

TeleDentistry: Mobile Apps Improving Oral Health

Tele-dentistry allows patients to consult a licensed dentist via a mobile app, without having to leave their home or make an appointment. By sharing high-resolution photos of their teeth and flagging specific concerns, they can get a personalized assessment and practical advice for ongoing improvement of their oral health.

What is Teledentistry?

Teledental health is a very broad category of solutions that service patients oral health at a distance by doing it remotely.  People who do not have a dentist, lack access to a dentist or live far from a dental office can be helped with this level of care – via telephone or videoconferencing capability or other means mentioned above.  It’s the idea that these technologies can be leveraged to improve access to care, gather and exchange information with a licensed dentist, to provide and support dental care delivery, diagnosis, consultation, treatment, transfer of dental information and education.

Defining Teledentistry

Telemedicine refers to the “virtual visits” that take place between patients and clinicians via communications technology — the video and audio connectivity that allows “virtual” meetings to occur in real time, from virtually any location.

teledental visit can be a videoconference between a dentist and a patient regarding an urgent dental or oral health problem, and it can also give patients improved access to information about the importance of oral health.

With evolving technology, urgent oral or dental issues can be remediated – helping people to avoid expensive, time-consuming visits to the hospital Emergency Room or urgent care clinic by scheduling them at a dental care facility the next day. 

Technology: SCIENTISTS DEVELOP SMARTPHONE APP TO DETECT “DIABETES” (UCSF)

Overall, the algorithm correctly identified the presence of diabetes in up to 81 percent of patients in two separate datasets. When the algorithm was tested in an additional dataset of patients enrolled from in-person clinics, it correctly identified 82 percent of patients with diabetes.  

In the Nature Medicine study, UCSF researchers obtained nearly 3 million PPG recordings from 53,870 patients in the Health eHeart Study who used the Azumio Instant Heart Rate app on the iPhone and reported having been diagnosed with diabetes by a health care provider. This data was used to both develop and validate a deep-learning algorithm to detect the presence of diabetes using smartphone-measured PPG signals.  

Among the patients that the algorithm predicted did not have diabetes, 92 to 97 percent indeed did not have the disease across the validation datasets. When this PPG-derived prediction was combined with other easily obtainable patient information, such as age, gender, body mass index and race/ethnicity, predictive performance improved further.

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TELEHEALTH: “Smartphones Used to Monitor Heart Patients with Pacemakers”

In a first of its kind study, Cleveland Clinic researchers found Bluetooth-enabled pacemakers successfully transferred information to doctors 95% of the time through an app on the patient’s smartphone or tablet. In comparison, traditional bedside consoles were successful 77% of the time.

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