The healthy pace: Alexa vs. card

Two messages that @medinfode pointed out this week: Alexa learns diagnostics and the German Handelsblatt reports a breakthrough in electronic patient records. In their random juxtaposition, they form a lesson about the importance of speed: the healthy pace makes the healthcare of the future.

Doctor Alexa

Message one: Amazon is working on Alexa recognizing possible diseases by the human voice. I have already reported on similar approaches in connection with Beyond Verbal. And Amazon is already in the spotlight here in the blog as one of the key players in healthcare. As early as 2017, Amazon applied for the corresponding patent on the algorithm. Now this has been granted. In a nutshell: It is well known that Alexa constantly listens to what happens in the environment of the smart loudspeakers. With this development step at stake, Amazon is moving on to scanning the voices of the environment for diseases: Coughs and sniffles, but apparently also depressions. We futurologists have long predicted this: emotion becomes a natural part of data collection and analysis.

The benefits for Amazon are obvious. Anyone who knows the physical sensation of a person can address him personally at a decisive point. If you hear coughing, you can play out personalized advertising. And what’s more, they can also suggest orders and sell healing products. And, by the way, this creates an almost perfect usecase for models with ultra-short delivery times. DocMorris is currently advertising its online services nationwide with the slogan “Those who should stay in bed should not have to go to the pharmacy”. This logic is already outdated here: If you have the right smart speaker, you don’t even have to go to your online pharmacy.

Doctor with card

The other success message – and yes, it is a success message: The most important players in self-administration in the health care system of Germany have agreed on a policy paper that should provide us with a first form of the electronic health card for everyday use by 2021. This is a) more than has been achieved in the past 15 years. But that’s b) just exactly what it is: a paper. We have agreed on what the doctor´s associations should process and what the Gematik should process.

The key data sound promising: the patient retains sovereignty over the data. We at 2b AHEAD predicted in a large study as early as 2015 that this is where the future lies. Uniform standards should ensure broad application. And at least the Federal Minister of Health can already be quoted with the statement that the card is after all only one of potentially many access routes. The network structure in the background is decisive. And the health insurances publicly agree: A deviation is no longer possible without loss of face. On the other hand, who hasn’t actually lost face in the years since 2004? No one has been disturbed yet.

The healthy pace

And here is the connection: The one factor that is repeatedly underestimated in prognoses on artificial intelligence is its learning speed. Once in the world, the growth of performance continues to accelerate. Prerequisite: A sufficient amount of data is generated in the system. The fact that this is the case is unlikely to be seriously debated with Alexas’ market penetration. The forecast is characterized by a healthy pace. Some people program network standards, while others use algorithms to evaluate large amounts of data. Some are imposing sanctions on doctors to purchase suitable reading devices, others are having algorithms evaluate large amounts of data. Some hope for Gematik’s first successfully completed project, others have algorithms evaluate large amounts of data.

Who wins? Exactly.

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