Currently we can use smartphones to open doors, turn on lights, adjust thermostats, and set up digital video cameras, all of which benefit from an unprecedented level of device connectivity, the so-called "Internet of Things (IoT)." Not only can humans access the Internet, but the devices and applications around us can also. This provides new opportunities for us to make informed decisions, such as reducing the use of electricity.
Although the Internet of Things has already performed in the medical market, it is far less popular in the consumer electronics market. In the medical market, some preliminary signs have shown that if we can break through the current obstacles and establish a “biological Internet of Thingsâ€, the potential is endless.
To understand the limitations of the Internet of Things in the digital biomedical market, take a look at the current Electronic Medical Record (EMR). The original intention of EMR was to introduce medical information into the Internet era, but today's EMR is basically a failure. Because the staff of the doctor's office usually scans a large number of current medical reports and documents into PDF images when making EMR, it is impossible to conduct an electronic search. If this information is properly digitized, a simple search engine can give doctors incredible power: let them view a large number of medical records at the same time to tap into larger disease patterns.
Therefore, a major opportunity in the current medical market is to create new EMRs. For each test result, each data point is indexed and searched by a search engine, just as we can currently search for any information on the Internet. In addition, we need to further expand the information source to allow consumers to upload their own EMR data, such as genome sequencing data, or monitoring data for wearable devices. This will make EMR more practical.
More importantly, in addition to the patients themselves, other agencies are collecting biomedical information from consumers. For example, a large number of research databases store vast amounts of genetic information. But at the moment these databases are not connected to each other, and if they are connected, that is even more remarkable. Research institutions have begun to address this issue, such as the Global Alliance for Genomics and Health, which is developing tools to make these databases interoperable.
This is a great project. Ultimately, if these databases can be connected to each other, the value is much higher than the value of their respective independent existence. Because this creates a "network effect," the more connections between each element in a system, the higher its value.
In addition to public databases, some companies are also building large bioinformatics databases. For example, some companies offer genetic testing services that not only provide test results to users, but also store this information in their own databases. By analyzing these data, we can better understand the relevant trends from the national level. This information can help service providers to further optimize the test and make more accurate test results.
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