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This is a very naive. As a techie that became a physician and I'm now back in the tech world, it took me a long time to understand a fundamental difference in a

This is a very naive. As a techie that became a physician and I'm now back in the tech world, it took me a long time to understand a fundamental difference in approach. The medical world moves very very slowly and it seems very very inefficent to a tech person. It is a necessary evil. In medical world, lives are at stake. The ethos is first, do no harm. It is inherently and arguably necessarily slow to change. The ethos in tech is just fundamentally different. Move quickly, break things. Its an Agile mindset of quick changes, pivots, rapid advances. Inefficiencies get identified and are tackled. Medical world is different. The inefficiences are a feature not a bug. They are there to exactly do what they are doing, slow the rate of change. Clinical trials is one place where both worlds collide, the fast pace technical innovation world is about to interface to the slowly changing medical world. All of these guys frustrations is exactly about that. He might think the solutiom is to speed up clinical trials phases. It isn't. Even if you did, sooner or later you will still come to another traffic stop of slow changes and inefficiencies because the medical world moves at a different pace, and necessarily so. When lives are directly involved the burden of proof to enact changes have to necessarily be very very high. And what techies do not understand and probably keep asking is "doee it have to be so?". Yes it does. We didnt arrive here by accident. Even if we started healthcsre industry anew, it will inevitably end up in this slow-changing equilibrium. When lives are directly involved, better to leave things as is, than change and make worse. The burden of proof for even the slightest of changes is extremely high. what's optimal for health is indeed a slowly changing world. It is not for lack of talent or intelligence, as this author naively suggests. If you want to solve problems with quickly, don't go near that world. Stick to the world of optimizing ads

aaron695 4y ago
naijaboiler 4y ago
To add to this comment. An analogy would be trying to drive highway speeds on a crowded downtown roads with heavy foot traffic, street vendors, open stores. Noticing inefficiencies in how cars are passing through is missing the point. The point of highways is to move people quickly. The point of crowded downtowns streets is to move people slowly so they can shop, interact and spend money. If this efficiency-optimizing author were to take his SV mindset to tackle thise inefficiencies at industry scake, what this author will quickly find out is that it is an impossible task. The industry itself is necessarily slow and its not by accident. It can be fast when it absolutely needs to be e.g Covid vaccines. That alone should let you know those inefficiencies are only inefficiencies to you because you are naive to what the industry is actually optimizing for. At best, you sound like the impatient driver honking on a crowded street, aggressively driving into every available opening thinking you're optimizing for efficiency. You arent.
i_am_toaster 4y ago
This isn’t the government, it doesn’t need to be painfully slow to ensure it continues working properly. I’m having a hard time responding in a constructive manner because it’s a bit infuriating to hear someone make excuses for such a corrupt industry. Have you ever worked with one of these companies? I just don’t see how it’s possible for someone to see it firsthand and then come to the conclusion that the inefficiencies and high rate of error in data collection/management are not just preferential, but even required outcomes. I will note that you addressed none of the points made in the article. My assumption is that either you feel the need to attack the authors conclusion, having no defense of your own, or you’ve foregone reading the text altogether.
- naijaboiler 4y ago
  I read the text. The author sees the trees, misses the forest. At the micro level, the inefficiences are glaringly obvious and pervasive. But they exist and continue to exist for a reason. It isn't because people are stupid or corrupt, it is because that's what the industry optinizes and incentvizes for. That doesn't mean things can't get better or there aren't things to improve on, it's just that this author doesn't seem to understand the big picture yet which makes me very dubious of such a person's ability to execute any meaningful changes
  - i_am_toaster 4y ago
    Just to be clear on this point — you think that the healthcare industry optimizes for inefficiency? Edit: After looking at your post history, I realize you just want to tell people they are wrong and you are smarter than them. Don’t bother responding, I don’t care what you have to say.
    - naijaboiler 4y ago
      yes tech people are often ill-informed about medical world. And i do end up posting a lot on topics where such gross misinformation is on full display. I read tons and tons of posts on here, I respond to a very tiny few. And I stay away from commenting on areas outside of my competence. And yes, the ones I comment on are predominantly, ones where people with incomplete (or totally absent) perspective of a field that's outside their area, feel overly confident enough to comment on those areas. So many of my posts is indeed calling out the naivety of such posts. It's only an "inefficiency" from the perspective of the person who doesn't understand what the system is optimizing for. This author is ML engineer commenting on a field he is relatively new to and doesn't yet fully understand. To a person wanting to drive highway speeds in a crowded downtown street, everything would seem 'inefficient'. In reality, they aren't. The objectives are just different. Once you understand the larger objective, you start seeing what the true problems are, you start understanding that some things that look like inefficiencies at first glance, are actually features serving a purpose within a larger context, that you initially didn't understand.
mleonhard 4y ago
Can you share specific things that need to happen slowly and why that slowness helps protect study participants? Some things mentioned in the article clearly increase risk to participants: manually re-assembling translated documents, using custom software and paper forms, and diluting important documentation with boilerplate. Other things seem to purely increase cost: starting meetings with smalltalk, overcharging for server hosting, and cronyism.
deleted 4y ago
[deleted]

aaron695 4y ago

naijaboiler 4y ago

To add to this comment. An analogy would be trying to drive highway speeds on a crowded downtown roads with heavy foot traffic, street vendors, open stores. Noticing inefficiencies in how cars are passing through is missing the point. The point of highways is to move people quickly. The point of crowded downtowns streets is to move people slowly so they can shop, interact and spend money. If this efficiency-optimizing author were to take his SV mindset to tackle thise inefficiencies at industry scake, what this author will quickly find out is that it is an impossible task. The industry itself is necessarily slow and its not by accident. It can be fast when it absolutely needs to be e.g Covid vaccines. That alone should let you know those inefficiencies are only inefficiencies to you because you are naive to what the industry is actually optimizing for. At best, you sound like the impatient driver honking on a crowded street, aggressively driving into every available opening thinking you're optimizing for efficiency. You arent.

i_am_toaster 4y ago

This isn’t the government, it doesn’t need to be painfully slow to ensure it continues working properly. I’m having a hard time responding in a constructive manner because it’s a bit infuriating to hear someone make excuses for such a corrupt industry. Have you ever worked with one of these companies? I just don’t see how it’s possible for someone to see it firsthand and then come to the conclusion that the inefficiencies and high rate of error in data collection/management are not just preferential, but even required outcomes. I will note that you addressed none of the points made in the article. My assumption is that either you feel the need to attack the authors conclusion, having no defense of your own, or you’ve foregone reading the text altogether.

naijaboiler 4y ago
I read the text. The author sees the trees, misses the forest. At the micro level, the inefficiences are glaringly obvious and pervasive. But they exist and continue to exist for a reason. It isn't because people are stupid or corrupt, it is because that's what the industry optinizes and incentvizes for. That doesn't mean things can't get better or there aren't things to improve on, it's just that this author doesn't seem to understand the big picture yet which makes me very dubious of such a person's ability to execute any meaningful changes
- i_am_toaster 4y ago
  Just to be clear on this point — you think that the healthcare industry optimizes for inefficiency? Edit: After looking at your post history, I realize you just want to tell people they are wrong and you are smarter than them. Don’t bother responding, I don’t care what you have to say.
  - naijaboiler 4y ago
    yes tech people are often ill-informed about medical world. And i do end up posting a lot on topics where such gross misinformation is on full display. I read tons and tons of posts on here, I respond to a very tiny few. And I stay away from commenting on areas outside of my competence. And yes, the ones I comment on are predominantly, ones where people with incomplete (or totally absent) perspective of a field that's outside their area, feel overly confident enough to comment on those areas. So many of my posts is indeed calling out the naivety of such posts. It's only an "inefficiency" from the perspective of the person who doesn't understand what the system is optimizing for. This author is ML engineer commenting on a field he is relatively new to and doesn't yet fully understand. To a person wanting to drive highway speeds in a crowded downtown street, everything would seem 'inefficient'. In reality, they aren't. The objectives are just different. Once you understand the larger objective, you start seeing what the true problems are, you start understanding that some things that look like inefficiencies at first glance, are actually features serving a purpose within a larger context, that you initially didn't understand.

mleonhard 4y ago

Can you share specific things that need to happen slowly and why that slowness helps protect study participants? Some things mentioned in the article clearly increase risk to participants: manually re-assembling translated documents, using custom software and paper forms, and diluting important documentation with boilerplate. Other things seem to purely increase cost: starting meetings with smalltalk, overcharging for server hosting, and cronyism.

deleted 4y ago

[deleted]