stethoscope on computer keyboard

How Traditional Health Records Bolster Structural Racism

By Adrian Gropper, MD

As the U.S. reckons with centuries of structural racism, an important step toward making health care more equitable will require transferring control of health records to patients and patient groups.

The Black Lives Matter movement calls upon us to review racism in all aspects of social policy, from law enforcement to health. Statistics show that Black Americans are at higher risk of dying from COVID-19. The reasons for these disparities are not entirely clear. Every obstacle to data collection makes it that much harder to find a rational solution, thereby increasing the death toll.

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A frustrated woman sits at her desk, staring at her computer. Her head is resting in her hand

Patient-Directed Uses vs. The Platform

By Adrian Gropper, MD

This post originally appeared on The Health Care Blog.

This piece is part of the series “The Health Data Goldilocks Dilemma: Sharing? Privacy? Both?” which explores whether it’s possible to advance interoperability while maintaining privacy. Check out other pieces in the series here.

It’s 2023. Alice, a patient at Ascension Seton Medical Center Austin, decides to get a second opinion at Mayo Clinic. She’s heard great things about Mayo’s collaboration with Google that everyone calls “The Platform”. Alice is worried, and hoping Mayo’s version of Dr. Google says something more than Ascension’s version of Dr. Google. Is her Ascension doctor also using The Platform?

Alice makes an appointment in the breast cancer practice using the Mayo patient portal. Mayo asks permission to access her health records. Alice is offered two choices, one uses HIPAA without her consent and the other is under her control. Her choice is: Read More

DNA sequence

How the Internet and The Mapping of the Human Genome Disrupted the Teaching of Health Law: Does The 21st Century Really Change Everything?

This piece was part of a symposium featuring commentary from participants in the Center for Health Policy and Law’s annual conference, Promises and Perils of Emerging Health Innovations, held on April 11-12, 2019 at Northeastern University School of Law. The symposium was originally posted through the Northeastern University Law Review Online Forum.

Promises and Perils of Emerging Health Innovations Blog Symposium

We are pleased to present this symposium featuring commentary from participants in the Center for Health Policy and Law’s annual conference, Promises and Perils of Emerging Health Innovations, held on April 11-12, 2019 at Northeastern University School of Law. As a note, additional detailed analyses of issues discussed during the conference will be published in the forthcoming issue of the Northeastern University Law Review.

Throughout the two-day conference, speakers and attendees discussed how innovations, including artificial intelligence, robotics, mobile technology, gene therapies, pharmaceuticals, big data analytics, tele- and virtual health care delivery, and new models of delivery, such as accountable care organizations (ACOs), retail clinics, and medical-legal partnerships (MLPs), have entered and changed the healthcare market. More dramatic innovations and market disruptions are likely in the years to come. These new technologies and market disruptions offer immense promise to advance health care quality and efficiency, as well as improve provider and patient engagement. Success will depend, however, on careful consideration of potential perils and well-planned interventions to ensure new methods ultimately further, rather than diminish, the health of patients, especially those who are the most vulnerable.

In her post for the Promises and Perils of Emerging Health Innovations blog symposium, Jennifer S. Bard addresses many of the negative impacts of new health technologies, particularly as they apply to patient privacy. Bard points to special concerns in how we use health information related to DNA, mental health, and chronic illness. Throughout her piece, Bard also highlights the fact that law has not caught up to changes in technology and privacy issues, which causes more concern about how society and the healthcare system use these innovations.

How the Internet and The Mapping of the Human Genome Disrupted the Teaching of Health Law: Does The 21st Century Really Change Everything?

By Jennifer S. Bard

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Illustration of a person running away carrying "stolen" 1's and 0's

Measuring Health Privacy – Part II

This piece was part of a symposium featuring commentary from participants in the Center for Health Policy and Law’s annual conference, Promises and Perils of Emerging Health Innovations, held on April 11-12, 2019 at Northeastern University School of Law. The symposium was originally posted through the Northeastern University Law Review Online Forum.

Promises and Perils of Emerging Health Innovations Blog Symposium

We are pleased to present this symposium featuring commentary from participants in the Center for Health Policy and Law’s annual conference, Promises and Perils of Emerging Health Innovations, held on April 11-12, 2019 at Northeastern University School of Law. As a note, additional detailed analyses of issues discussed during the conference will be published in the 2021 Winter Issue of the Northeastern University Law Review.

Throughout the two-day conference, speakers and attendees discussed how innovations, including artificial intelligence, robotics, mobile technology, gene therapies, pharmaceuticals, big data analytics, tele- and virtual health care delivery, and new models of delivery, such as accountable care organizations (ACOs), retail clinics, and medical-legal partnerships (MLPs), have entered and changed the healthcare market. More dramatic innovations and market disruptions are likely in the years to come. These new technologies and market disruptions offer immense promise to advance health care quality and efficiency, as well as improve provider and patient engagement. Success will depend, however, on careful consideration of potential perils and well-planned interventions to ensure new methods ultimately further, rather than diminish, the health of patients, especially those who are the most vulnerable.

In this two-part post for the Promises and Perils of Emerging Health Innovations blog symposium Ignacio Cofone engages in a discussion centered on the importance of addressing patients’ concerns when introducing new health technologies. While privacy risks may not always be avoided altogether, Cofone posits that privacy risks (and their potential costs) should be weighed against any and all health benefits innovative technology and treatments may have. To do so, Cofone introduces the concept of using health economics and a Quality-Adjusted Life Year (QALY) framework as a way to evaluate the weight and significance of the costs and benefits related to health technologies that may raise patient privacy concerns.

Measuring Health Privacy – Part II

By Ignacio N. Cofone

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Illustration of cascading 1's and 0's, blue text on a black background

Measuring Health Privacy – Part I

This piece was part of a symposium featuring commentary from participants in the Center for Health Policy and Law’s annual conference, Promises and Perils of Emerging Health Innovations, held on April 11-12, 2019 at Northeastern University School of Law. The symposium was originally posted through the Northeastern University Law Review Online Forum.

Promises and Perils of Emerging Health Innovations Blog Symposium

We are pleased to present this symposium featuring commentary from participants in the Center for Health Policy and Law’s annual conference, Promises and Perils of Emerging Health Innovations, held on April 11-12, 2019 at Northeastern University School of Law. As a note, additional detailed analyses of issues discussed during the conference will be published in the 2021 Winter Issue of the Northeastern University Law Review.

Throughout the two-day conference, speakers and attendees discussed how innovations, including artificial intelligence, robotics, mobile technology, gene therapies, pharmaceuticals, big data analytics, tele- and virtual health care delivery, and new models of delivery, such as accountable care organizations (ACOs), retail clinics, and medical-legal partnerships (MLPs), have entered and changed the healthcare market. More dramatic innovations and market disruptions are likely in the years to come. These new technologies and market disruptions offer immense promise to advance health care quality and efficiency, and improve provider and patient engagement. Success will depend, however, on careful consideration of potential perils and well-planned interventions to ensure new methods ultimately further, rather than diminish, the health of patients, especially those who are the most vulnerable.

In this two-part post for the Promises and Perils of Emerging Health Innovations blog symposium, Ignacio Cofone engages in a discussion centered on the importance of addressing patients’ concerns when introducing new health technologies. While privacy risks may not always be avoided altogether, Cofone posits that privacy risks (and their potential costs) should be weighed against all health benefits innovative technology and treatments may have. To do so, Cofone introduces the concept of using health economics and a Quality-Adjusted Life Year (QALY) framework to evaluate the weight and significance of the costs and benefits related to health technologies that may raise patient privacy concerns.

Measuring Health Privacy – Part I

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Doctor types on a laptop

A Delicate Balance: Proposed Regulations May Upset the Tension between Accessibility and Privacy of Health Information

This piece was part of a symposium featuring commentary from participants in the Center for Health Policy and Law’s annual conference, Promises and Perils of Emerging Health Innovations, held on April 11-12, 2019 at Northeastern University School of Law. The symposium was originally posted through the Northeastern University Law Review Online Forum.

Promises and Perils of Emerging Health Innovations Blog Symposium

We are pleased to present this symposium featuring commentary from participants in the Center for Health Policy and Law’s annual conference, Promises and Perils of Emerging Health Innovations, held on April 11-12, 2019 at Northeastern University School of Law. Throughout the two-day conference, speakers and attendees discussed how innovations, including artificial intelligence, robotics, mobile technology, gene therapies, pharmaceuticals, big data analytics, tele- and virtual health care delivery, and new models of delivery, such as accountable care organizations (ACOs), retail clinics, and medical-legal partnerships (MLPs), have entered and changed the healthcare market. More dramatic innovations and market disruptions are likely in the years to come. These new technologies and market disruptions offer immense promise to advance health care quality and efficiency, and improve provider and patient engagement. Success will depend, however, on careful consideration of potential perils and well-planned interventions to ensure new methods ultimately further, rather than diminish, the health of patients, especially those who are the most vulnerable.

In his piece for the Promises and Perils of Emerging Health Innovations blog symposium, Oliver Kim emphasizes the important role trust plays in the provider-patient relationship. Kim unpacks the challenges that come with the introduction and incorporation of new health technology, and further cautions against the potential for erosion of trust when introducing third-parties into the relationship.

A Delicate Balance: Proposed Regulations May Upset the Tension between Accessibility and Privacy of Health Information

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Illustration of a street lined with houses

Genetic Discrimination in Housing and Lending: What’s the Risk?

By Kaitlyn Dowling, based on research by the Cyberlaw Clinic at the Berkman Klein Center for Internet & Society

Illustration of a gavel made out of a DNA helixIn a year-long series on Bill of Health, we’ll be exploring the legal scholarship on genetic non-discrimination. We’ll talk more about GINA and state laws protecting citizens from genetic discrimination. We hope these posts help shed light on this complex and ever-more-relevant area for legal scholars, policymakers, and the public at large. Read the previous posts in the series.

Nondiscrimination in Housing and Lending

Most states regulate the use of genetic information in some way, but protections are typically limited to employment and insurance. To most people, those two areas of protection seem obvious: it’s easy to see why your health insurer would want to know if you’re likely to become expensive to cover. Likewise, you can also understand why potential employers would want to know if they’re about to hire a worker who’s likely to need significant time off to attend to health issues. Only a select number of states ban genetic information discrimination in other contexts, like education, disability insurance, and life insurance.

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Photograph of a doctor in blue scrubs overlaid with an illustration of a padlock

Nudges or Shoves in the Secondary Use of Health Data: What is the More Desirable Approach? (Part 2)

By Marcelo Corrales Compagnucci, Janos Meszaros & Timo Minssen

This post is the second part in a two-part series about nudge theory, health data, and the U.K.’s National Data Opt-out System. You can read the first part here

Governments are always actively trying to improve their health care systems, and the secondary use of health data is one way of reaching this goal effectively. The secondary use of health data involves the use of health care data collected for a new purpose, such as research and policy planning. This data is usually collected from hospitals and health care systems – large databases containing administrative, medical, health care, and personal data from patients.

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ancestry dna kit box

Gamete Donor Anonymity is a Myth: Q&A With Seema Mohapatra

By some accounts, 26 million people have undergone direct-to-consumer (DTC) genetic or ancestry tests. While some of the results of these tests seem might seem obvious (I turned out to be half-Hungarian and half-Ashkenazi, to no one’s surprise), there have been a number of accounts in the media of test results that have been considerably more dramatic.

Some of the more shocking — and now shockingly common — scenarios are the ones in which a consumer finds out through a DTC test that they were donor-conceived, and that one or both of the parents who raised them are not their genetic relatives. Gamete donors, who often provide genetic material (eggs or sperm) with the promise of anonymity, are finding themselves the recipients of messages from genetic children they never intended to meet.

Gamete donors could argue that they have a right to privacy. But Prof. Seema Mohapatra suggests the idea of gamete donor privacy is no longer realistic, due to the state of genetic technology.

I sat down with Prof. Mohapatra to learn more about the many ethical and legal questions DTC genetic testing raises for donors, recipients, and clinics.

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Graphical image of a genetic screen merging with algorithmic code

Do You Own Your Genetic Test Results? What About Your Temperature?

By Jorge L. Contreras

The popular direct-to-consumer genetic testing site AncestryDNA claims that “You always maintain ownership of your data.” But is this true?  And, if so, what does it mean?

For more than a century, US law has held that data – objective information and facts – cannot be owned as property. Nevertheless, in recent years there have been increasing calls to recognize property interests in individual health information. Inspired by high profile data breaches and skullduggery by Facebook and others, as well as ever more frequent stories of academic research misconduct and pharmaceutical industry profiteering, many bioethicists and patient advocates, seeking to bolster personal privacy and autonomy, have argued that property rights should be recognized in health data. In addition, a new crop of would-be data intermediaries (e.g., Nebula Genomics, Genos, Invitae, LunaDNA and Hu.manity.org) has made further calls to propertize health data, presumably to profit from acting as the go-betweens in what has been estimated to be a $60-$100 billion global market in health data. Read More