The medical innovation frontier website “the Medical Futurist†recently analyzed and summarized the top ten issues that may arise in the rapid development of digital healthcare and the emergence of disruptive technologies. Doctors, patients, regulators, and all other stakeholders must be prepared for the upcoming changes. For this reason, the following is compiled.
Opportunities and challenges coexist. Now, more and more people have more opportunities to get better treatment than ever before. We are now able to treat some diseases that we thought were incurable before, and made other diseases become controllable. But at the same time, there are some issues that deserve attention. For example, countries around the world are facing shortages of doctors, and the cost of medical services in developed countries is skyrocketing. The following are the ten most important issues we will face in the digital healthcare arena.
First, medical equipment is hacked
Cardiac pacemakers and insulin pumps have been proven to be hacked. Security experts warn that in the near future, large-scale patients may be murdered because of device vulnerabilities. The question now is what we can do to protect wearable devices that are connected to our physiological systems so that they are not remotely attacked and controlled by hackers. Companies developing these technologies should ensure product safety while users should be vigilant at all times.
Second, privacy leaks
The privacy we share is far more than we think, and I think that so many services and apps have been granted access to personal information. With the popularity of augmented reality, if all of this personal information can be easily obtained by someone you just met, what will happen? The lives of this generation of children have been uploaded to the Internet by themselves or others. Although such a large amount of data contributes to the improvement of medical standards, how can it prevent some enterprises and governments from abusing it? Imagine if you ate raw meat, then your insurance company got this information and immediately raised your premium because the food you ate was unhealthy.
Third, the patient self-diagnosis
Many patients go online to search for their symptoms and treatments, after which the patient is likely to accept the wrong information and feel that his illness is serious. In the near future, patients can complete scans, blood tests, and even genetic analysis in some companies or their own homes, and then use some known public algorithms to analyze their own data. This will make the misinterpretation of information, wrong treatment, and self-medication more serious. So can we convince patients to submit rich data to professional doctors to improve treatment levels, rather than arbitrarily trusting a data analysis company?
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