Office of the National Coordinator (ONC) and the Centers for Medicare and
Medicaid (CMS) have proposed final rules on
interoperability, data blocking, and other activities as part of implementing
the 21st Century Cures Act. In this series, we will explore ideas
behind the rules, why they are necessary and the expected impact. Given that
these are complex and controversial topics are open to interpretation, we
invite readers to respond
with their own ideas, corrections and opinions.
Interventions to Address Market Failures
Many of the rules proposed
by CMS and ONC are evidence-based interventions aimed at critical problems that
market forces have failed to address. One example of market failure is the long-standing inability for health care
providers and insurance companies to find a way to exchange patient data. Each
has critical data the other needs and would benefit from sharing. And, as CMS
noted, health plans are in a “unique position to provide enrollees a complete
picture of their clams and encounter data.” Despite that, technical and
financial issues, as well as a general air of distrust from decades of haggling
over reimbursement, have prevented robust data exchange. Remarkably, this happens
in integrated delivery systems which, in theory, provide tight alignment between
payers and providers in a unified organization.
With so much attention
focused on requirements for health IT companies like EHR vendors and providers,
it is easy to miss the huge impact that the new rules is likely to have for
payers. But make no mistake, if implemented as proposed, these rules will have
a profound impact on the patient’s ability to gather and direct the use of
their personal health information (PHI). They will also lead to reduced
fragmentation and more complete data sets for payers and providers alike.
Overview of Proposed CMS Rules on Information
Sharing and Interoperability
The proposed CMS rules
affect payers, providers, and patients stating that they:
Require payers to make
patient health information available electronically through a standardized,
open application programming interface (API)
Promote data exchange
between payers and participation in health information exchange networks
Require payers to provide
additional resources on EHR, privacy, and security
Require providers to comply
with new electronic notification requirements
Require states to better
coordinate care for Medicare-Medicaid dually eligible beneficiaries by
submitting buy-in data to CMS daily
Publicly disclose when
providers inappropriately restrict the flow of information to other health care providers and payers
With the application deadline for Bayer’s G4A Partnerships program coming up on Friday, I thought I’d throw out a little inspiration to would-be applicants by featuring an interview I did with one of last year’s program participants at the grand-finale Launch Event.
Not only was this a great party, but a microcosm of the G4A program experience itself: a way to meet Bayer execs en-masse, an opportunity to sell directly to key decision-makers across Bayer’s various global business units, and a chance to feed off the energy of like-minded innovators eager to see ‘big health care’ change for the better.
While the G4A program itself has changed a bit this year to be more streamlined and to allow for bespoke deal-making that may or may not involve giving up equity (my favorite new feature), startups questioning whether or not they have what it takes should take a look at some alums.
There’s a playlist with nearly two dozen interviews waiting for you here if you’re REALLY up for some procrastinating, or you can click through and just check out my chat with Joe Curcio, CEO of KinAptic. A healthtech startup taking wearables to the bleeding edge, Joe shows us a mock-up of the KinAptic ‘smart shirt’ which features their real innovation: printed ink electronics that look and feel like screenprinting ink, but work bi-directionally to both collect data from the body AND apply signals back to it. Is it AI-enabled? Did you have to ask? Listen in for a mindblowing chat about how this tech can change diagnostic analysis and treatment and completely redefine our current limitations when it comes to healthcare wearables.Once you’re inspired, don’t forget to head over to www.g4a.health and fill out your own application for this year’s partnership program.
Jessica DaMassa is the host of the WTF Health show & stars in Health in 2 Point 00 with Matthew Holt
The dashboard is the potent symbol of our age. It offers the elegant visualization of data, and is intended to capture and represent the performance of a system, revealing at a glance current status, and pointing out potential emerging concerns. Dashboards are a prominent feature of most every “big data” project I can think of, offered by every vendor, and constructed to provide a powerful sense of control to the viewer. It seemed fitting that Novartis CEO Dr. Vas Narasimhan, a former McKinsey consultant, would build (then tweet enthusiastically about) “our new ‘control tower’” – essentially a multi-screen super dashboard – “to track, analyse and predict the status of all our clinical studies. 500+ active trials, 70+ countries, 80 000+ patients – transformative for how we develop medicines.” Dashboards are the physical manifestation of the ideology of big data, the idea that if you can measure it you can manage it.
I am increasingly concerned, however, that the ideology of big data has taken on a life of it’s own, assuming a sense of both inevitability and self-justification. From measurement in service of people, we increasingly seem to be measuring in service of data, setting up systems and organizations where constant measurement often appears to be an end in itself.
My worries, it turns out, are hardly original. I’ve been delighted to discover over the past year what feels like an underground movement of dissidents who question the direction we seem to be heading, and who’ve thoughtfully discussed many of the issues that I stumbled upon. (Special hat-tip to “The Accad & Koka Report” podcast, an independent and original voice in the healthcare podcast universe, for introducing me to several of these thinkers, including Jerry Muller and Gary Klein.)
The Office of the National Coordinator (ONC) and the Centers for Medicare and Medicaid (CMS) have proposed final rules on interoperability, data blocking, and other activities as part of implementing the 21st Century Cures Act. In this series, we will explore the ideas behind the rules, why they are necessary and the expected impact. Given that these are complex and controversial topics open to interpretation, we invite readers to respond with their own ideas, corrections, and opinions. In part five of this series, we look at how competition unlocks innovation, and how the proposed rules may disrupt the balance between innovation, intellectual property (IP), and supporting business models.
The recent publication of proposed rules by ONC and CMS set off a flurry of activity. In anticipation of their implementation, the health care industry is wrestling with many questions around business models. What practices inhibit competition and innovation? How do we balance the need for competition while protecting legitimate intellectual property rights? How can vendors ensure profit growth when pricing is heavily regulated? In this article, we will examine how competition unlocks innovation and the possible disruptions the proposed rules may bring for innovation, intellectual property (IP) and supporting business models.
In most markets, innovation is driven forward by competition. Businesses compete on equal footing, and their investment in R&D drives innovation forward. Innovation in health care has been dramatically outpaced by other markets, leading to an urgent need for both disruptive and evolutionary innovation.
What is inhibiting health care innovation? The rules identify a combination of tactics employed in health care that restrict the free flow of clinical data, such as:
These tactics slow innovation by contributing to an
environment where stakeholders resist pushing the boundaries — often because
they are contractually obligated not
to. The legislation and proposed rules are designed to address the ongoing
failure of the market to resolve these conflicts.
As the rules are finalized, we will continue to monitor whether
the ONC defines these practices as innovation stifling and how they will
implement regulations — both carrot and stick — to move the industry forward.
The Office of the National Coordinator (ONC) and the Centers for Medicare and Medicaid (CMS) have proposed final rules on interoperability, data blocking and other activities as part of implementing the 21st Century Cures Act. In this series, we will explore ideas behind the rules, why they are necessary and the expected impact. Given that these are complex and controversial topics open to interpretation, we invite readers to respond with their own ideas, corrections and opinions.
When it comes to sharing health data, the intent of the 21st Century Cures Act is clear: patients and clinicians should have access to data without special effort or excessive cost. To make this a reality, the act addresses three major areas: technical architecture, data sets and behaviors. Part two of our series looked at how APIs address technical issues while part three covered the new data requirements. In this article, we delve into information blocking. A companion podcast interview with ONC expert Michael Lipinski provides an even deeper dive into this complex topic.
Blocking Comes in Many Forms
The Public Health Services Act (PHSA) broadly defines information blocking as a practice that is “likely to interfere with, prevent, or materially discourage access, exchange, or use of electronic health information.” The overarching assumption is information will be shared though the Act does authorize the Secretary to identify reasonable and necessary exceptions.
The proposed rules focus on “technical requirements as well as the actions and practices of health IT developers in implementing the certified API.” Information blocking can come in a variety of forms. It can be direct and obvious (“No you can’t have this data ever!”) or indirect and subtle (“Sure, you can have the data, but it will cost you $$$ and we won’t be able to get to your request for at least 12 months.”). The proposed rules are designed to address both. This passage illustrates some of the concerns:
“Health IT developers are in a
unique position to block the export and portability of data for use in
competing systems or applications, or to charge rents for access to the basic
technical information needed to facilitate the conversion or migration of data
for these purposes.”
Three government experts on a health tech conference panel discuss
the urgency of releasing actionable data; all are women. A more senior
official, another woman, gives a TED-style talk making the same case. And a
four-person, private-sector panel debates privacy and ethics; three of the four
Health Datapalooza, a conference begun with government
sponsorship a decade ago, proclaims its goal as “data liberación” – freeing
health data from deep within federal agencies and giving it to patients and
entrepreneurs. But in 2019, women’s “liberación” seems to have become an
Interestingly, while women’s status in tech was the focus of
a plenary panel on diversity and inclusion, the panelists seemed oblivious to
the robust participation of women in their own meeting.
To put some data behind my subjective impressions, I went
back and examined the list of speakers, who came from a wide range of organizations
and included individual patient activists. I counted 89 men and 99 women. Liberación,
The Office of the National Coordinator (ONC) and the Centers for Medicare and Medicaid (CMS) have proposed final rules on interoperability, data blocking and other activities as part of implementing the 21st Century Cures Act. In this series, we will explore the ideas behind the rules, why they are necessary and the expected impact. Given that these are complex and controversial topics open to interpretation, we invite readers to respond with their own ideas, corrections and opinions. In part three of this series, we look at how the new USCDI draft helps foster innovation.
The U.S. Core Data for Interoperability
(USCDI) draft is a step forward toward expanding the 21st Century
Cures Act. The Cures Act was helpful in moving the needle for interoperability
and defining data blocking. The latest draft of the USCDI is meant to further specify
what data should be shared freely.
In this article, we’ll look at the data added
to the Common Clinical Data Set (CCDS) used for ONC certification. We’ll walk
through the proposed plan to add more data over time. And we’ll explore why
this is a step in the right direction toward increased data sharing.
The bulk of the datasets in the USCDI comes
from the Common Clinical Data Set (CCDS), which was last updated in 2015. The
new USCDI draft adds two types of data:
Clinical notes: both structured
and unstructured. EHRs store these notes differently, but both are important
and helpful in data analysis.
Provenance: an audit trail of the data, showing where it
came from. It is metadata, or information about the data, that shows who
created it and when.
The Fast Healthcare Interoperability Resources (FHIR) have created standards around APIs used to access health care data. APIs developed under the FHIR standard aligns with the USCDI to meet the proposed certification rules. The USCDI draft recommends using a FHIR compliant API to access the data.
Google’s Verily has a $1Billion dollar investment fund and a nearly limitless talent pool of data scientists and engineers at the ready. So, how are they planning to invest in a better future for health? Luba Greenwood, Strategic Business Development & Corporate Ventures for Verily explains how the tech giant is thinking about the big data opportunity in healthcare – and, more importantly, what they see as their role in helping scale it in unprecedented ways. Where should other health tech investors place their bets, then? Luba’s previous successes investing in digital health and health technology while at Roche give her a unique perspective on the ‘state-of-play’ in healthcare investment…but has the game changed now that she’s in another league at Verily? Listen in to find out!
Filmed at the Together.Health Spring Summit at HIMSS 2019 in Orlando, Florida, February 2019.
Jessica DaMassa is the host of the WTF Health show & stars in Health in 2 Point 00 with Matthew Holt.
Get a glimpse of the future of healthcare by meeting the people who are going to change it. Find more WTF Health interviews here or check out www.wtf.health.
Imagine solving wicked problems of patient matching, consent, and a patient-centered longitudinal health record while also enabling a world of new healthcare services for patients and physicians to use. The long-awaited Notice of Proposed Rulemaking (NPRM) on information blocking from the Office of the National Coordinator for Health Information Technology (ONC) promises nothing less.
Having data automatically follow the patient is a laudable goal but difficult for reasons of privacy, security, and institutional workflow. The privacy issues are clear if you use surveillance as the mechanism to follow the patient. Do patients know they’re under surveillance? By whom? Is there one surveillance agency or are there dozens in real-world practice? Can a patient choose who does the surveillance and which health encounters, including behavioral health, social relationships, location, and finance are excluded from the surveillance?
The security issues are pretty obvious if one uses the National Institutes of Standards and Technology (NIST) definition of security versus privacy: Security breaches, as opposed to privacy breaches, are unintentional — typically the result of hacks or bugs in the system. Institutional workflow issues also pose a major difficulty due to the risk of taking responsibility for information coming into a practice from uncontrolled sources. Whose job is it to validate incoming information and potentially alter the workflow? Can this step be automated with acceptable risk?
It’s not hard to see how surveillance as the basis for health information sharing would be contentious and risk the trust that’s fundamental to both individual and public health. Nowhere is this more apparent than in the various legislative efforts currently underway to expand HIPAA to include behavioral health and social determinants of health, preempt state privacy laws, grant data brokers HIPAA Covered Entity status, and limit transparency of how personal data is privately used for “predictive analytics”, machine learning, and artificial intelligence.
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.