Advances in AI have created new opportunities for health care wearables to be leveraged as tools to provide clinicians with meaningful insights that they can act upon. The previous generation of wearables merely generated immense streams of data that needed to first be analyzed before actionable insights could be obtained. This is now changing.
The combination of edge computing and artificial intelligence now makes it possible for the collected data to be filtered in real time by AI so that meaningful trends and patterns can be identified. These can then be sorted in terms of their clinical relevance and timely action can be taken based on the insights obtained.
Arjun Mahajan at Harvard Medical School explains this potential in a vivid way. He says that visiting a doctor is similar to a movie trailer while leveraging data from a health care wearable is like having access to all the action in the movie. The wearable gives a clinician the entire picture, making it possible to provide better care once the entire picture is clear.
Wearable technology powered by AI has immense potential in remote patient monitoring. In rural areas, access to specialists is often limited and patients often have to travel long distances to see clinicians. This increases the cost of medical care and creates opportunities for missed appointments. Wearables can come in handy by providing a continuous stream of data that has been filtered to deliver just what is needed for clinical decisions to be made.
In this case, AI takes care of all the data analysis and relieves clinicians from having to pore over raw data in search of actionable insights. This makes it easier for the technology to be adopted on a large scale since no additional work is being imposed on already overloaded professionals.
When this technology is looked at in this way, it becomes clear that AI systems can play a vital role in supporting the work that health care professionals do and are unlikely to replace them, as some fear. Before widespread adoption can happen, several challenges have to be addressed or workarounds found.
For example, hospitals need to upgrade their systems so that they move away from handling episodic data (such as the information collected when a patient visits a doctor) to systems that can handle continuous data streams as it comes in through connections with the wearables that patients use.
As the right systems are put in place, the full potential of AI-powered wearables can be harnessed in the health care system. For companies like Apple Inc. (NASDAQ: AAPL) that have carved out a reputation for making reliable health care wearables, lots of opportunities exist if they deepen their reach in this area.
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