YouSaid · the spoken record

Sonal Chokshi

lines on the record: 66
first: 2019-01-16
most recent: 2019-01-16
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“But that's exactly the opposite of what it actually is. There are very few sentences that a licensed professional, a nurse practitioner, anyone, can say to a patient that starts with, I can't do that, that's a HIPAA violation. There are very few mental health and sexual health carve-outs, but most of the time I am in the right when I can ask my doctor and she can send me all of my information in any digital format I request as long as she's got it to my Gmail account and it's not a HIPAA violation. I think very few people know that HIPAA violation.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“As a way to say, stop what we're doing, let's get the lawyers involved. Yeah, privacy is important, but that's exactly the context I've always heard it in as sort of a you can't do this because of HIPAA.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“That somebody could get access to their data and direct it to an app or direct it to where they want to go or be the conduit that creates the interoperability between two clinicians, which unfortunately is sometimes the case. Well, that's actually the spirit of HIPAA. Stability. Yes. Instead, it's been used kind of as a weapon.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“So you brought up HIPAA, and that's something that everyone hears about. We talk about in the context of privacy, but you're saying it's an opportunity for people to, because of HIPAA, they can have data. So throw your mind back to 1996 when it was about 10% of American adults had access to the internet. This was a time when we weren't sure what was really going to be the impact of technology on healthcare.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“People have under the Hipporite of Access. They've got loads of capabilities that they don't know how to exercise because the friction that you're talking about is still very prominent. And I don't think it's people that are trying to put friction in front of patients. I think they just haven't been taught or don't know any better. I think most people at Medical Record Systems and Hospital and HIM facilities want to do the right thing on behalf of patients. We were talking about the car analogy. One of the things that other industries have done is surface information voluntarily so that the lights on the dashboard and the accelerometer and all of that navigation engagement system, they are meant to be used. Now imagine if all of that was dark and you had to open up the hood and look underneath and know how to discern that information.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“Well, and there's much less friction for sharing this type of information. So you think about all the data you can quickly share on Facebook or LinkedIn or something like that, that's really trivial to do. If you try to do this 10 years ago, 15 years ago, you could come to a doctor with a bunch of CDs or DVDs, and they could load it in. But by the time they've done that thing, your appointment's over.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“When I think about my parents and how they narrate their oral histories, so much of medicine is about oral histories. And they're immigrants to this country. They're well educated, but they somehow do this weird thing where they feel like they have to have this best behavior and you can't actually report the problems. And it drives me insane because my dad will call me and be like, oh, yeah, I didn't tell the doctor this. Why? Oh, it didn't come up. And I'm like, your job is to report your history. That's why they're asking you all these questions. You don't have to do this model minority thing. You're behaving well for the doctor, for God's sake. And I get really upset because I love my parents. There is a break in the existing healthcare system where there is an over-reliance on oral histories as part of the medical experience that I would think if I could just send them in with like all of our notes, then that alone would be a huge improvement to the doctor to have that context.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“One of the things that is a driver is we've got 10,000 boomers aging into age 65 and having a different sort of user experience. Because people are living longer doesn't mean we are living healthy longer. And so they're going to be dealing with lots of issues that their forebears didn't have to deal with because people didn't live this long. I mean, a hundred years ago or 120 years ago, the average lifespan was about 48. Now we've artificially extended that to about, let's say, 83. And these are approximate numbers. But who's to say that we're really improving the quality of life? So people are going to retire and become more engaged than their parents were in their own health care. And I know my parents go to a doctor and say, here's what I can share with you. Now save my life, please. I think the next future generations are going to be much more engaged.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“But then when something happens, you're diagnosed with something or your child or your mom is diagnosed with something, that will trigger engagement, let me tell you. And then people should have immediate access to the data and information that they need to make a decision. And that structurally hasn't been the case. And that actually, I think, is this moment that we're living through right now where there's changing expectations about what we should have access to. And so healthcare is rather slow in taking up this new culture of access, but I think it is changing, and I think it has to change.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“And you're absolutely right that most people don't want to engage in their health. Most people don't want to know what's going on. They're not necessarily ready to look into the mirror of data. I call it standing naked in front of the mirror of data. A lot of us aren't ready. Yeah, it's a little too much.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“And so that data that is sort of the clinical equivalent for the car is something that the mechanic needs to be able to improve things. What I think really is missing is sort of having the alignment of incentives. So you want your car to work, you obviously want your body to work. And your provider wants people to help. But then how can that person do that if they don't have all the information? And so I think really now the question is how can people who really have the incentive to take care of themselves finally use modern technology to let that data actually help if we do it for cars we should be able to do it for people.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“You know, I mean, and you have a fair about data cards. You have dashboard lights that come on when there are problems. And then you actually go to professional and you give them a full run of what's going on. You have a lot of sense of the car because you're driving all the time.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“Difference in medium, not actually in kind. What are the structural reasons? First of all, I'm coming at this a little skeptically because A, I always hear people talk about data on healthcare. And I understand it's important, but I'm skeptical because quite honestly, as a user, I barely know when my car registration is due. I don't really think having control in my healthcare data is really the thing I need next on my list. Luckily, I'm a healthy person, so maybe that's part of the reason. But still, I really can't see a lot of people really using data. So let's talk about why this matters really.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“Think about the vestigial elements of where the whole healthcare system came from, origin's 50, 100 years ago from fee for service, like doctors coming to your house. And data then is writing something in a notebook. We have electronic medical records now, but it's really not radically different. It's basically a doctor writing or provider taking down some notes.”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“We're in this position because most of healthcare has grown up believing that they own the data. So professionals generally collect and hold the clinical data that drives a lot of clinical care. And yet patients now have an expectation to have access to data in the modern world. Plus, there's a whole part of data that isn't even part of the clinical record. And so how might we bring all of these sources of data together?”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source
“Share their own health data, and last but not least, and in fact he's the first voice you'll hear after mine and Susanna's, we have Vijay Pande, general partner on ASICs and ZBio. With this whole problem of dark data, and I don't mean to make it sound sinister, but it is kind of sinister because it's hidden from worldview. Why are we in this position in the first place?”
2019-01-16 · a16z Podcast · a16z Podcast: Dark Data in Healthcare · IDENTIFIED FROM THE TRANSCRIPT · source