7 Applications of IoT in Healthcare

The healthcare industry is experiencing a number of changes to its use of technology and the Internet of things. The nature of the Internet of things is powering far more than just smart home applications. With billions of devices which are now connected through cloud technology and the technology of convenience, investment in the Internet of things for healthcare applications is also starting to rise as well.

Here are seven of the top applications that use linked technology within the healthcare industry:

New hearing aids: The newest form of hearing aids are called hearables and these in your devices are completely changing the way that people who experience hearing loss are able to hear and interact with the world around them. The newest types of hearing aids come with Bluetooth compatibility and the ability to sync up with smartphones. What this can mean is that the average person wearing modern hearing aids can quite easily sync up their music, take a call and more. New in your devices is also collecting biometric data for fitness, offering new augmented reality systems through linked smartphone technology and more. Doppler Labs is a perfect example for hearables.

Mood changing devices:  Head Mounted and wearable devices can help us to improve our mood throughout the day. Through neurofeedback, a head-mounted device could send out low-intensity currents that can elevate moods throughout the day. Wearing one of these devices could one day be an alternative to pharmaceuticals. Thync is one such example along with Halo Neuroscience for improving brain performance.

Ingestible sensors: Digital health is on the rise, and a series of investments in ingestible cameras as well as health sensors could lead us all experiencing better health one day. One such example is Proteus Digital Health; these pills size sensors can help to keep track of medication doses in the future as well as alert patients when there are irregularities in their body. These types of sensors could one day help to regulate the symptoms of diabetes or provide an earlier warning for diseases.

Computer vision technology: Using vision algorithms, many drones and automated machines are now able to detect obstacles and navigate around them. A very good example is Skydio‘s drone, these types of vision algorithms are also being translated into devices that could help people who are visually impaired for navigation.

Improved charting: With improvements to data capturing and sharing, the healthcare industry may receive a huge boost in charting with patients. Augmented charting technology and healthcare with devices like Google glass and Augmedix could save doctors up to 15 hours of work week and lead to more readily accessible data as they are reviewing a patient.


Medication delivery: New medication delivery devices could improve the ability of patients for tracking their dosage. Numerical devices that can help patients with diabetes and connected inhalers that are helping people with asthma will help keep people on track with their treatments or let them know when they are potentially going over their dose.

Better tracking for Parkinson’s patients: New smartphone applications are now able to use smart phone system applications and activity trackers to provide round-the-clock monitoring on Parkinson’s patients. Project Blue Sky, a collaborative project by Pfizer and IBM uses a system of sensors, mobile devices and machine learning in planned clinical trials. This can lead to improved tracking for the disease and research data that could one day prove useful for predicting the way it progresses or even prevention methods.

These are seven of the top applications of the Internet of things making their way to health care now.

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Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.

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