Which is better: sharing access to all health data across platforms so that interoperability is achieved, or protecting some data for the sake of privacy? Health data privacy experts Vince Kuraitis, founder of Better Health Technologies, and Deven McGraw, Chief Regulatory Officer at Ciitzen, are crowdsourcing opinions and insights on what they are calling The Health Data Goldilocks Dilemma. How much data protection is ‘juuuust right’? What should be regulated? And, by whom? The duo talks through their views on the data protection conversation and urge others to join in the conversation via their blog series called, “The Health Data Goldilocks Dilemma,” on The Health Care Blog.
Filmed at the HIMSS Health 2.0 Conference in Santa Clara, CA in September 2019.
This post is part of the series “The Health Data Goldilocks Dilemma: Privacy? Sharing? Both?”
In our previous post, we described the “Wild West of Unprotected Health Data.” Will the cavalry arrive to protect the vast quantities of your personal health data that are broadly unprotected from sharing and use by third parties?
Congress is seriously considering legislation to better
protect the privacy of consumers’ personal data, given the patchwork of
existing privacy protections. For the most part, the bills, while they may
cover some health data, are not focused just on health data – with one
exception: the “Protecting Personal Health Data Act” (S.1842), introduced by
Senators Klobuchar and Murkowski.
In this series, we committed to looking across all of the
various privacy bills pending in Congress and identifying trends,
commonalities, and differences in their approaches. But we think this bill,
because of its exclusive health focus, deserves its own post. Concerns about
health privacy outside of HIPAA are receiving increased attention in light of
the push for interoperability, which makes this bill both timely and
potentially worth of your attention.
For example, greater interoperability with patients means that even more medical and claims data will flow outside of HIPAA to the “Wild West.” The American Medical Association noted:
“If patients access their health
data—some of which could contain family history and could be sensitive—through
a smartphone, they must have a clear understanding of the potential uses of
that data by app developers. Most patients will not be aware of who has access
to their medical information, how and why they received it, and how it is being
used (for example, an app may collect or use information for its own purposes,
such as an insurer using health information to limit/exclude coverage for
certain services, or may sell information to clients such as to an employer or
a landlord). The downstream consequences of data being used in this way may
ultimately erode a patient’s privacy and willingness to disclose information to
his or her physician.”
The McKinsey “2,750 times” statistic is a pretty
good proxy for the amount of your personal health data that is NOT protected by
HIPAA and currently is broadly unprotected from sharing and use by third
However, there is bipartisan legislation in front of Congress that offers expanded privacy protection for your personal health data. Senators Klobuchar & Murkowski have introduced the “Protecting Personal Health Data Act” (S.1842). The Act would extend protection to much personal health data that is currently not already protected by HIPAA (the Health Insurance Portability and Accountability Act of 1996).
In this essay, we will look in the rear-view mirror to see
how HIPAA has provided substantial protections for personal clinical data — but
with boundaries. We’ll also take a look out the windshield — the Wild West of
unprotected health data.
Then in a separate post, we’ll describe and comment on the
pending “Protect Personal Health Data Act”.
On Episode 3 of HardCore Health, Jess & I start off by discussing all of the health tech companies IPOing (Livongo, Phreesia, Health Catalyst) and talk about what that means for the industry as a whole. Zoya Khan discusses the newest series on THCB called, “The Health Data Goldilocks Dilemma: Sharing? Privacy? Both?”, which follows & discuss the legislation being passed on data privacy and protection in Congress today. We also have a great interview with Paul Johnson, CEO of Lemonaid Health, an up-and-coming telehealth platform that works as a one-stop-shop for a virtual doctor’s office, a virtual pharmacy, and lab testing for patients accessing their platform. In her WTF Health segment, Jess speaks to Jen Horonjeff, Founder & CEO of Savvy Cooperative, the first patient-owned public benefit co-op that provides an online marketplace for patient insights. And last but not least, Dr. Saurabh Jha directly address AI vendors in health care, stating that their predictive tools are useless and they will not replace doctors just yet- Matthew Holt
Matthew Holt is the founder and publisher of The Health Care Blog and still writes regularly for the site.
This post is part of the series “The Health Data Goldilocks Dilemma: Privacy? Sharing? Both?”
In our initial blog post of February 20th, “For Your Radar – Huge Implications for Healthcare in Pending Privacy Legislation,” we broadly discussed six key issues for healthcare stakeholders in the potential federal privacy and data protection legislation. We committed to future posts comparing and contrasting specific legislative proposals.
The buzz around federal privacy legislation continues, but as of yet there appear to be no proposals or bills that have emerged as the lead bills.
In the meantime, the clock is ticking. As we mentioned in our February 20th post, a significant catalyst for federal privacy legislation is the desire of companies covered by the California Consumer Privacy Act (CCPA) to have that broadly-applicable, stringent state law preempted by a more company-friendly federal law. The CCPA, which sets stringent consent and other requirements for large companies, or companies collecting or monetizing large amounts of consumer data from California residents, goes into effect January 1, 2020 – less than six months from today.
Is it possible for a legislative body to move quickly on such a controversial topic? Again, California’s experience may be instructive. The CCPA was passed into law and signed on June 28, 2018, about a week after it was introduced. Lawmakers were in a rush in order to keep a popular and even stricter consumer privacy ballot initiative from being put before the California voters. (The sponsors of the ballot initiative agreed to withdraw it if the CCPA were enacted by the June 28th deadline.).
Two years ago we wouldn’t have believed it — the U.S. Congress is considering broad privacy and data protection legislation in 2019. There is some bipartisan support and a strong possibility that legislation will be passed. Two recent articles in The Washington Post and AP News will help you get up to speed.
Federal privacy legislation would have a huge impact on all healthcare stakeholders, including patients. Here’s an overview of the ground we’ll cover in this post:
Six Key Issues for Healthcare
We are aware of at least 5 proposed Congressional bills and 16 Privacy Frameworks/Principles. These are listed in the Appendix below; please feel free to update these lists in your comments. In this post we’ll focus on providing background and describing issues. In a future post we will compare and contrast specific legislative proposals.
A number of pundits are citing the systemic failure of ACOs, after additional Pioneer ACOs announced withdrawal from the program – Where do you weigh in on the prognosis for Medicare and Commercial ACOs over the next several years?”
Peter R. Kongstvedt
Whoever thought that by themselves, ACOs would successfully address the problem(s) of [cost] [care coordination] [outcomes] [scurvy] [Sonny Crockett’s mullet in Miami Vice Season 4]? The entire history of managed health care is a long parade of innovations that were going to be “the answer” to at least the first four choices above (Vitamin C can cure #5 but sadly there is no cure for #6). Highly praised by pundits who jump in front of the parade and declare themselves to be leaders, each ends up having a place, but only a place, in addressing our problematic health system.
The reasons that each new innovative “fix” end up helping a little but not occupying the center vary, but the one thing they all have in common is that the new thing must still compete with the old thing, and the old thing is there because we want it there, or at least some of us do. The old thing in the case of ACOs is the existing payment system in Medicare and by extension, our healthcare system overall because for all the organizational requirements, ACOs are a payment methodology.
Everywhere we turn these days it seems “Big Data” is being touted as a solution for physicians and physician groups who want to participate in Accountable Care Organizations, (ACOs) and/or accountable care-like contracts with payers.
We disagree, and think the accumulated experience about what works and what doesn’t work for care management suggests that a “Small Data” approach might be good enough for many medical groups, while being more immediately implementable and a lot less costly. We’re not convinced, in other words, that the problem for ACOs is a scarcity of data or second rate analytics. Rather, the problem is that we are not taking advantage of, and using more intelligently, the data and analytics already in place, or nearly in place.
For those of you who are interested in the concept of Big Data, Steve Lohr recently wrote a good overview in his column in the New York Times, in which he said:
“Big Data is a shorthand label that typically means applying the tools of artificial intelligence, like machine learning, to vast new troves of data beyond that captured in standard databases. The new data sources include Web-browsing data trails, social network communications, sensor data and surveillance data.”
Applied to health care and ACOs, the proponents of Big Data suggest that some version of IBM’s now-famous Watson, teamed up with arrays of sensors and a very large clinical data repository containing virtually every known fact about all of the patients seen by the medical group, is a needed investment. Of course, many of these data are not currently available in structured, that is computable, format. So one of the costly requirements that Big Data may impose on us results from the need to convert large amounts of unstructured or poorly structured data to structured data. But when that is accomplished, so advocates tell us, Big Data is not only good for quality care, but is “absolutely essential” for attaining the cost efficiency needed by doctors and nurses to have a positive and money-making experience with accountable care shared-savings, gain-share, or risk contracts.
The sharing of patient information in the US is out of whack — we lean far too much toward hoarding information vs. sharing it. While care providers have an explicit duty to protect patient confidentiality and privacy, two things are missing:
the explicit recognition of a corollary duty to share patient information with other providers when doing so is the patient’s interests, and
a recognition that there is potential tension between the duty to protect patient confidentiality/privacy and the duty to share — with minimal guidance on how to resolve the tension.
In this essay we’ll discuss:
1. A recent recognition in the UK
2. The need for an explicit duty to share patient information in the US
A recent analysis of the ACO market by Oliver Wyman market suggests we’re well on our way toward being “there.”
My personal take on this report:
Provocative, fresh, thoughtful, well reasoned, expansive — albeit a bit of a stretch
However, I suspect many others will describe it as:
Speculative, harebrained, unsupported, overly extrapolative, out-to-lunch, wishful to the point of being woo woo.
So now that I hopefully have your attention, what’s this report all about? In a nutshell:
The healthcare world has only gotten serious about accountable care organizations in the past two years, but it is already clear that they are well positioned to provide a serious competitive threat to traditional fee-for-service medicine. In “The ACO Surprise,” our analysis finds that 25 to 31 million Americans already receive their care through ACOs—and roughly 45 percent of the population live in regions served by at least one ACO.
Let’s dig in to the report. In this blog post, I’ll summarize their math, surface their critical assumptions and observations, and comment on their reasoning. I’ve indented direct quotations from the report.
While I don’t agree with all of Oliver Wyman’s math and assumptions, I applaud them for the process they have gone through. Please take my commentary as “quibbling at the edges” and that overall I’m on board with their methodology and conclusions.