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Tag: Health Data

The European Digital Health Ecosystem Matures | Roberto Ascione, Healthware International

By JESSICA DAMASSA, WTF HEALTH

European health startups and health tech investors are turning their attention to a new market: Europe. Where the US healthcare system once seemed the only path to mass adoption, now the European healthcare market, with its proliferation of Big Pharma and med device companies, has opened itself up to the digital health community — offering EU startups the chance to grow and mature closer to home. Watching the space closely is on of Europe’s first, loudest, and most ardent supporters of digital health, Roberto Ascione, CEO of Healthware International. How does he see the market taking shape? What’s next for European healthcare companies in terms of scaling and integrating new revenue streams based on the digital transformation of healthcare? Listen in to find out.

Filmed at the Frontiers Health Conference in Berlin, Germany, November 2018.

Jessica DaMassa is the host of the WTF Health show & stars in Health in 2 Point 00 with Matthew HoltGet 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.

THCB Spotlights | Lygeia Ricciardi, CTO of Carium Health

By ZOYA KHAN

Today, THCB is spotlighting Lygeia Ricciardi. As the former Director of Consumer e-Health at the ONC, Lygeia tells us about patient access to health data and the ONC and CMS’s new rules on interoperability. But now, she’s the CTO of Carium Health, going from a “consumer activist consultant-type” to actually working with a startup. Carium provides a platform for consumer empowerment and engagement, helping to guide individuals through their health care and wellness journeys.

We Are Not A Dashboard: Contesting The Tyranny Of Metrics, Measurement, And Managerialism

By DAVID SHAYWITZ

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.)

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Patient-Directed Access for Competition to Bend the Cost Curve

By ADRIAN GROPPER, MD

Many of you have received the email: Microsoft HealthVault is shutting down. By some accounts, Microsoft has spent over $1 Billion on a valiant attempt to create a patient-centered health information system. They were not greedy. They adopted standards that I worked on for about a decade. They generously funded non-profit Patient Privacy Rights to create an innovative privacy policy in a green field situation. They invited trusted patient surrogates like the American Heart Association to participate in the launch. They stuck with it for almost a dozen years. They failed. The broken market and promise of HITECH is to blame and now a new administration has the opportunity and the tools to avoid the rent-seekers’ trap.

The 2016 21st Century CURES Act is the law. It is built around two phrases: “information blocking” and “without special effort” that give the administration tremendous power to regulate anti-competitive behavior in the health information sector. The resulting draft regulation, February’s Notice of Proposed Rulemaking (NPRM) is a breakthrough attempt to bend the healthcare cost curve through patient empowerment and competition. It could be the last best chance to avoid a $6 Trillion, 20% of GDP future without introducing strict price controls.

This post highlights patient-directed access as the essential pro-competition aspect of the NPRM which allows the patient’s data to follow the patient to any service, any physician, any caregiver, anywhere in the country or in the world.

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ONC & CMS Proposed Rules – Part 3: Data Requirements

Matt Humphrey
Dave Levin

By DAVE LEVIN, MD and MATT HUMPHREY

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.  

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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.

New Shared Data

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.

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Interoperability and Data Blocking | Part 1: Fostering Innovation

By DAVE LEVIN MD 

The Office of the National Coordinator (ONC) and the Centers for Medicare and Medicaid (CMS) have published proposed final rules on interoperability and data blocking 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, controversial topics, and open to interpretation, we invite readers to respond with their own ideas, corrections, and opinions.

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Health IT 1.0, the basic digitalization of health care, succeeded in getting health care to stop using pens and start using keyboards. Now, Health IT 2.0 is emerging and will build on this foundation by providing better, more diverse applications. Health care is following the example set by the rest of the modern digital economy and starting to leverage existing monolithic applications like electronic health records (EHRs) to create platforms that support a robust application ecosystem. Think “App Store” for healthcare and you can see where we are headed.

This is why interoperability and data blocking are two of the biggest issues in health IT today. Interoperability – the ability of applications to connect to the health IT ecosystem, exchange data and collaborate – is a key driver of the pace and breadth of innovation. Free flowing, rich clinical data sets are essential to building powerful, user-friendly applications.  Making it easy to install or switch applications reduces the cost of deployment and fosters healthy competition. Conversely, when data exchange is restricted (data blocking) or integration is difficult, innovation is stifled.

Given the importance of health IT in enabling the larger transformation of our health system, the stakes could hardly be higher. Congress recognized this when it passed the 21st Century Cures Act in 2016. Title IV of the act contains specific provisions designed to “advance interoperability and support the access, exchange, and use of electronic health information; and address occurrences of information blocking”. In February 2019, ONC and CMS simultaneously published proposed rules to implement these provisions.

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HIPAA RFI Comments: Patient Privacy Rights

Deborah C. Peel
Adrian Gropper

By ADRIAN GROPPER and DEBORAH C. PEEL

Among other rich nations, US healthcare stands out as both exceptionally privatized and exceptionally expensive. And taken overall, we have the worst health outcomes among the Western Democracies.

On one hand, regulators are reluctant to limit private corporate action lest we reduce innovation and patient choice and promote moral hazards. On the other hand, a privatized marketplace for services requires transparency of costs and quality and a minimum of economic externalities that privatize profit and socialize costs.

For over two decades, the HIPAA law and regulations have dominated the way personal health data is used and abused to manipulate physician practice and increase costs. During these decades, digital technology has brought marvels of innovation and competition to markets as diverse as travel and publishing while healthcare technology is burning out physicians and driving patients to bankruptcy.

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Despite Youth On Farm, Abbott Ventures Chief Avoids Spreading Manure

By MICHAEL MILLENSON 

Abbott Ventures chief Evan Norton may have spent part of his youth on a farm, but there’s no manure in his manner when speaking of the medical device and diagnostics market landscape. The key, he says, is to avoid being blindsided by the transformational power of digital data.

“We’ve been competing against Medtronic and J&J, so that has the risk of us being disintermediated by other players that come into the market,” Norton told attendees at MedCity Invest, a meeting focused on health care entrepreneurs. “Physicians are coming to us and asking for access to data for decisions, and they don’t care who the manufacturer [of the device] is. Are we enabling data creation?”

Abbott, said Norton, wrestles with whether they are simply data creators or want to get paid for providing algorithmic guidance on how the data is used. (Full disclosure: I own Abbott shares.) Other panelists agreed making sense of the digital data deluge remains the central business challenge.

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Google Is Quietly Infiltrating Medicine — But What Rules Will It Play By?

By MICHAEL L. MILLENSON 

With nearly 80 percent of internet users searching online for health-related information, it’s no wonder the catchphrase “Dr. Google” has caught on, to the delight of many searchers and the dismay of many real doctors.

What’s received little attention from physicians or the public is the company’s quiet metamorphosis into a powerhouse focused on the actual practice of medicine.

If “data is the new oil,” as the internet meme has it, Google and its Big Tech brethren could become the new OPEC. Search is only the start for Google and its parent company, Alphabet. Their involvement in health care can continue through a doctor’s diagnosis and even into monitoring a patient’s chronic condition for, essentially, forever. (From here on, I’ll use the term Google to include the confusing intertwining of Google and Alphabet units.)

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Creating an Infrastructure of Health Data to Support Amazon’s Leap into Healthcare

Claudia Williams, Manifest MedEx, Amazon

By CLAUDIA WILLIAMS 

Amazon has transformed the way we read books, shop online, host websites, do cloud computing, and watch TV. Can they apply their successes in all these other areas to healthcare?

Just last week, Amazon announced Comprehend Medical, machine learning software that digitizes and processes medical records. “The process of developing clinical trials and connecting them with the right patients requires research teams to sift through and label mountains of unstructured clinical record data,” Fred Hutchinson CIO Matthew Trunnell is quoted saying in a MedCity News article. “Amazon Comprehend Medical will reduce this time burden from hours to seconds. This is a vital step toward getting researchers rapid access to the information they need when they need it so they can find actionable insights to advance life-saving therapies for patients.”

Deriving insights from data and making those available in a user-friendly way to patients and clinicians is just what we need from technology innovators. But these tools are useless without data. If an oncology patient is hospitalized, her provider may not be informed of her hospitalization for days or even weeks (or ever). And the situation is repeated for that same patient receiving care from cardiologists, endocrinologists, and other providers outside of her oncology clinic. When it comes to personalized health and medicine, both the quantity and quality of data matter. Providers need access to comprehensive patient health data so they can accurately and efficiently diagnose and treat patients and make use of technology that helps them identify “actionable insights.”

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