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- lack of mental health data
lack of mental health data
data collection is the biggest challenge š§
welcome to introspection ft. harsehaj! āļø iām harsehaj, an 18 y/o always up to something in social good x tech.
this publication is a place for me to reflect on productivity, health and tech, and drop unique opportunities in the space right to your inbox daily. if youāre new here, sign up to tune in! š
btw, feel free to reply with topic ideas you want me to write about for future posts.
onto todayās topic: lack of mental health data š§
the current state of neurotech is the use and implementation of brain computer interfaces (bcis for short ā basically those headsets with wires coming from patches stuck to someoneās head).
bcis have shown really promising results with prosthetics and controlling them with the brain. they essentially track brainwave data and with this information, someone can then program a prosthetic arm or leg to bend in a certain way if the a certain brainwave pattern is recognized. š§®
why prosthetic development is doing so well as a result of neurotech and bcis is because it is very straightforward to identify these patterns and collect data for them. you can easily tell someone to think about moving their finger and youāll be able to see the reflection of that action in terms of brainwave frequency very quickly. šļø
with mental health, itās not so simple. this why there havenāt been any huge advancements in mental health diagnostics via bcis. collecting mental health data is the biggest challenge.
you can tell someone to move their finger. you canāt tell someone to be depressed. itās not as simple. depression isnāt something you can easily track as a concrete black and white. itās easy to say x, y, z changes were observed when a person moved their finger versus when they didnāt. but depression isnāt a definitive state that can be measured when itās on or off. it comes in waves, in different levels, and can always be present. it canāt just be turned off for the sake of data collection. šµāš«
since mental health condititons arenāt objective, that makes it significantly more challenging to collect data on it. but, for more accurate diagnostics you need objective metrics, which is always data. itās like a vicious cycle.
oh no! depression misdiagnosis is at 65%, we need to improve diagnostics ā we need more objective data ā letās get data from mental health states ā oh no! mental health isnāt objective, no data ā misdiagnosis rate at 65%.
iām unsure what exactly the solution is, but this is a problem iāve been researching into and exploring for the past 2 years now. neurotech has an insane potential to impact hundreds of millions of people in the mental health space.
i want to see it happen. š
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