Will Blockchain Technology Usher in a Healthcare Data Revolution?
The hacker collective known as the Dark Overlord first surfaced in June 2016, when it advertised more than 600,000 patient files from three U.S. healthcare organizations for sale on the dark web. The group, which also attempted to extort ransom from its victims, soon offered another 9 million records pilfered from health insurance companies and provider networks across the country.
Since 2009, federal regulators have counted nearly 5,000 major data breaches in the United States alone, affecting some 260 million individuals.
Last October, apparently seeking publicity as well as cash, the hackers stole a trove of potentially scandalous data from a celebrity plastic surgery clinic in London—including photos of in-progress genitalia- and breast-enhancement surgeries. "We have TBs [terabytes] of this shit. Databases, names, everything," a gang representative told a reporter. "There are some royal families in here."
Bandits like these are prowling healthcare's digital highways in growing numbers. Since 2009, federal regulators have counted nearly 5,000 major data breaches in the United States alone, affecting some 260 million individuals. Although hacker incidents represent less than 20 percent of the total breaches, they account for almost 80 percent of the affected patients. Such attacks expose patients to potential blackmail or identity theft, enable criminals to commit medical fraud or file false tax returns, and may even allow hostile state actors to sabotage electric grids or other infrastructure by e-mailing employees malware disguised as medical notices. According to the consulting agency Accenture, data theft will cost the healthcare industry $305 billion between 2015 and 2019, with annual totals doubling from $40 billion to $80 billion.
Blockchain could put patients in control of their own data, empowering them to access, share, and even sell their medical information as they see fit.
One possible solution to this crisis involves radically retooling the way healthcare data is stored and shared—by using blockchain, the still-emerging information technology that underlies cryptocurrencies such as Bitcoin. And blockchain-enabled IT systems, boosters say, could do much more than prevent the theft of medical data. Such networks could revolutionize healthcare delivery on many levels, creating efficiencies that would reduce medical errors, improve coordination between providers, drive down costs, and give researchers unprecedented insights into patterns of disease. Perhaps most transformative, blockchain could put patients in control of their own data, empowering them to access, share, and even sell their medical information as they see fit. Widespread adoption could result in "a new kind of healthcare economy, in which data and services are quantifiable and exchangeable, with strong guarantees around both the security and privacy of sensitive information," wrote W. Brian Smith, chief scientist of healthcare-blockchain startup PokitDok, in a recent white paper.
Around the world, entrepreneurs, corporations, and government agencies are hopping aboard the blockchain train. A survey by the IBM Institute for Business Value, released in late 2016, found that 16 percent of healthcare executives in 16 countries planned to begin implementing some form of the technology in the coming year; 90 percent planned to launch a pilot program in the next two years. In 2017, Estonia became the first country to switch its medical-records system to a blockchain-based framework. Great Britain and Dubai are exploring a similar move. Yet in countries with more fragmented health systems, most notably the U.S., the challenges remain formidable. Some of the most advanced healthcare applications envisioned for blockchain, moreover, raise technological and ethical questions whose answers may not arrive anytime soon.
By creating a detailed, comprehensive, and immutable timeline of medical transactions, blockchain-based recordkeeping could help providers gauge a patient's long-term health patterns in a way that's never before been possible.
What Exactly Is Blockchain, Anyway?
To understand the buzz around blockchain, it's necessary to grasp (at least loosely) how the technology works. Ordinary digital recordkeeping systems rely on a central administrator that acts as gatekeeper to a treasury of data; if you can sneak past the guard, you can often gain access to the entire hoard, and your intrusion may go undetected indefinitely. Blockchain, by contrast, employs a network of synchronized, replicated databases. Information is scattered among these nodes, rather than on a single server, and is exchanged through encrypted, peer-to-peer pathways. Each transaction is visible to every computer on the network, and must be approved by a majority in order to be successfully completed. Each batch of transactions, or "block," is date- and time-stamped, marked with the user's identity, and given a cryptographic code, which is posted to every node. These blocks form a "chain," preserved in an electronic ledger, that can be read by all users but can't be edited. Any unauthorized access, or attempt at tampering, can be quickly neutralized by these overlapping safeguards. Even if a hacker managed to break into the system, penetrating deeply would be extraordinarily difficult.
Because blockchain technology shares transaction records throughout a network, it could eliminate communication bottlenecks between different components of the healthcare system (primary care physicians, specialists, nurses, and so on). And because blockchain-based systems are designed to incorporate programs known as "smart contracts," which automate functions previously requiring human intervention, they could reduce dangerous slipups as well as tedious and costly paperwork. For example, when a patient gets a checkup, sees a specialist, and fills a prescription, all these actions could be automatically recorded on his or her electronic health record (EHR), checked for errors, submitted for billing, and entered on insurance claims—which could be adjudicated and reimbursed automatically as well. "Blockchain has the potential to remove a lot of intermediaries from existing workflows, whether digital or nondigital," says Kamaljit Behera, an industry analyst for the consulting firm Frost & Sullivan.
The possible upsides don't end there. By creating a detailed, comprehensive, and immutable timeline of medical transactions, blockchain-based recordkeeping could help providers gauge a patient's long-term health patterns in a way that's never before been possible. In addition to data entered by their caregivers, individuals could use app-based technologies or wearables to transmit other information to their records, such as diet, exercise, and sleep patterns, adding new depth to their medical portraits.
Many experts expect healthcare blockchain to take root more slowly in the U.S. than in nations with government-run national health services.
Smart contracts could also allow patients to specify who has access to their data. "If you get an MRI and want your orthopedist to see it, you can add him to your network instead of carrying a CD into his office," explains Andrew Lippman, associate director of the MIT Media Lab, who helped create a prototype healthcare blockchain system called MedRec that's currently being tested at Beth Israel Deaconess Hospital in Boston. "Or you might make a smart contract to allow your son or daughter to access your healthcare records if something happens to you." Another option: permitting researchers to analyze your data for scientific purposes, whether anonymously or with your name attached.
The Recent History, and Looking Ahead
Over the past two years, a crowd of startups has begun vying for a piece of the emerging healthcare blockchain market. Some, like PokitDok and Atlanta-based Patientory, plan to mint proprietary cryptocurrencies, which investors can buy in lieu of stock, medical providers may earn as a reward for achieving better outcomes, and patients might score for meeting wellness goals or participating in clinical trials. (Patientory's initial coin offering, or ICO, raised more than $7 million in three days.) Several fledgling healthcare-blockchain companies have found powerful corporate partners: Intel for Silicon Valley's PokitDok, Kaiser Permanente for Patientory, Philips for Los Angeles-based Gem Health. At least one established provider network, Change Healthcare, is developing blockchain-based systems of its own. Two months ago, Change launched what it calls the first "enterprise-scale" blockchain network in U.S. healthcare—a system to track insurance claim submissions and remittances.
No one, however, has set a roll-out date for a full-blown, blockchain-based EHR system in this country. "We have yet to see anything move from the pilot phase to some kind of production status," says Debbie Bucci, an IT architect in the federal government's Office of the National Coordinator for Health Information Technology. Indeed, many experts expect healthcare blockchain to take root more slowly here than in nations with government-run national health services. In America, a typical patient may have dealings with a family doctor who keeps everything on paper, an assortment of hospitals that use different EHR systems, and an insurer whose system for processing claims is separate from that of the healthcare providers. To help bridge these gaps, a consortium called the Hyperledger Healthcare Working Group (which includes many of the leading players in the field) is developing standard protocols for blockchain interoperability and other functions. Adding to the complexity is the federal Health Insurance and Portability Act (HIPAA), which governs who can access patient data and under what circumstances. "Healthcare blockchain is in a very nascent stage," says Behera. "Coming up with regulations and other guidelines, and achieving large-scale implementation, will take some time."
The ethical implications of buying and selling personal genomic data in an electronic marketplace are doubtless open to debate.
How long? Behera, like other analysts, estimates that relatively simple applications, such as revenue-cycle management systems, could become commonplace in the next five years. More ambitious efforts might reach fruition in a decade or so. But once the infrastructure for healthcare blockchain is fully established, its uses could go far beyond keeping better EHRs.
A handful of scientists and entrepreneurs are already working to develop one visionary application: managing genomic data. Last month, Harvard University geneticist George Church—one of the most influential figures in his discipline—launched a business called Nebula Genomics. It aims to set up an exchange in which individuals can use "Neptune tokens" to purchase DNA sequencing, which will be stored in the company's blockchain-based system; research groups will be able to pay clients for their data using the same cryptocurrency. Luna DNA, founded by a team of biotech veterans in San Diego, plans a similar service, as does a Moscow-based startup called the Zenome Project.
Hossein Rahnama, CEO of the mobile-tech company Flybits and director of research at the Ryerson Centre for Cloud and Context-Aware Computing in Toronto, envisions a more personalized way of sharing genomic data via blockchain. His firm is working with a U.S. insurance company to develop a service that would allow clients in their 20s and 30s to connect with people in their 70s or 80s with similar genomes. The young clients would learn how the elders' lifestyle choices had influenced their health, so that they could modify their own habits accordingly. "It's intergenerational wisdom-sharing," explains Rahnama, who is 38. "I would actually pay to be a part of that network."
The ethical implications of buying and selling personal genomic data in an electronic marketplace are doubtless open to debate. Such commerce could greatly expand the pool of subjects for research in many areas of medicine, enabling the kinds of breakthroughs that only Big Data can provide. Yet it could also lead millions to surrender the most private information of all—the secrets of their cells—to buyers with less benign intentions. The Dark Overlord, one might argue, could not hope for a more satisfying victory.
These scenarios, however, are pure conjecture. After the first web page was posted, in 1991, Lippman observes, "a whole universe developed that you couldn't have imagined on Day 1." The same, he adds, is likely true for healthcare blockchain. "Our vision is to make medical records useful for you and for society, and to give you more control over your own identity. Time will tell."
Health breakthroughs of 2022 that should have made bigger news
As the world has attempted to move on from COVID-19 in 2022, attention has returned to other areas of health and biotech with major regulatory approvals such as the Alzheimer's drug lecanemab – which can slow the destruction of brain cells in the early stages of the disease – being hailed by some as momentous breakthroughs.
This has been a year where psychedelic medicines have gained the attention of mainstream researchers with a groundbreaking clinical trial showing that psilocybin treatment can help relieve some of the symptoms of major depressive disorder. And with messenger RNA (mRNA) technology still very much capturing the imagination, the readouts of cancer vaccine trials have made headlines around the world.
But at the same time there have been vital advances which will likely go on to change medicine, and yet have slipped beneath the radar. I asked nine forward-thinking experts on health and biotech about the most important, but underappreciated, breakthrough of 2022.
Their descriptions, below, were lightly edited by Leaps.org for style and format.
New drug targets for Alzheimer’s disease
Professor Julie Williams, Director, Dementia Research Institute, Cardiff University
Genetics has changed our view of Alzheimer’s disease in the last five to six years. The beta amyloid hypothesis has dominated Alzheimer’s research for a long time, but there are multiple components to this complex disease, of which getting rid of amyloid plaques is one, but it is not the whole story. In April 2022, Nature published a paper which is the culmination of a decade’s worth of work - groups all over the world working together to identify 75 genes associated with risk of developing Alzheimer’s. This provides us with a roadmap for understanding the disease mechanisms.
For example, it is showing that there is something different about the immune systems of people who develop Alzheimer’s disease. There is something different about the way they process lipids in the brain, and very specific processes of how things travel through cells called endocytosis. When it comes to immunity, it indicates that the complement system is affecting whether synapses, which are the connections between neurons, get eliminated or not. In Alzheimer’s this process is more severe, so patients are losing more synapses, and this is correlated with cognition.
The genetics also implicates very specific tissues like microglia, which are the housekeepers in the brain. One of their functions is to clear away beta amyloid, but they also prune and nibble away at parts of the brain that are indicated to be diseased. If you have these risk genes, it seems that you are likely to prune more tissue, which may be part of the cell death and neurodegeneration that we observe in Alzheimer’s patients.
Genetics is telling us that we need to be looking at multiple causes of this complex disease, and we are doing that now. It is showing us that there are a number of different processes which combine to push patients into a disease state which results in the death of connections between nerve cells. These findings around the complement system and other immune-related mechanisms are very interesting as there are already drugs which are available for other diseases which could be repurposed in clinical trials. So it is really a turning point for us in the Alzheimer’s disease field.
Preventing Pandemics with Organ-Tissue Equivalents
Anthony Atala, Director of the Wake Forest Institute for Regenerative Medicine
COVID-19 has shown us that we need to be better prepared ahead of future pandemics and have systems in place where we can quickly catalogue a new virus and have an idea of which treatment agents would work best against it.
At Wake Forest Institute, our scientists have developed what we call organ-tissue equivalents. These are miniature tissues and organs, created using the same regenerative medicine technologies which we have been using to create tissues for patients. For example, if we are making a miniature liver, we will recreate this structure using the six different cell types you find in the liver, in the right proportions, and then the right extracellular matrix which holds the structure together. You're trying to replicate all the characteristics of the liver, but just in a miniature format.
We can now put these organ-tissue equivalents in a chip-like device, where we can expose them to different types of viral infections, and start to get a realistic idea of how the human body reacts to these viruses. We can use artificial intelligence and machine learning to map the pathways of the body’s response. This will allow us to catalogue known viruses far more effectively, and begin storing information on them.
Powering Deep Brain Stimulators with Breath
Islam Mosa, Co-Founder and CTO of VoltXon
Deep brain stimulation (DBS) devices are becoming increasingly common with 150,000 new devices being implanted every year for people with Parkinson’s disease, but also psychiatric conditions such as treatment-resistant depression and obsessive-compulsive disorders. But one of the biggest limitations is the power source – I call DBS devices energy monsters. While cardiac pacemakers use similar technology, their batteries last seven to ten years, but DBS batteries need changing every two to three years. This is because they are generating between 60-180 pulses per second.
Replacing the batteries requires surgery which costs a lot of money, and with every repeat operation comes a risk of infection, plus there is a lot of anxiety on behalf of the patient that the battery is running out.
My colleagues at the University of Connecticut and I, have developed a new way of charging these devices using the person’s own breathing movements, which would mean that the batteries never need to be changed. As the patient breathes in and out, their chest wall presses on a thin electric generator, which converts that movement into static electricity, charging a supercapacitor. This discharges the electricity required to power the DBS device and send the necessary pulses to the brain.
So far it has only been tested in a simulated pig, using a pig lung connected to a pump, but there are plans now to test it in a real animal, and then progress to clinical trials.
Smartwatches for Disease Detection
Jessilyn Dunn, Assistant Professor in Duke Biomedical Engineering
A group of researchers recently showed that digital biomarkers of infection can reveal when someone is sick, often before they feel sick. The team, which included Duke biomedical engineers, used information from smartwatches to detect Covid-19 cases five to 10 days earlier than diagnostic tests. Smartwatch data included aspects of heart rate, sleep quality and physical activity. Based on this data, we developed an algorithm to decide which people have the most need to take the diagnostic tests. With this approach, the percent of tests that come back positive are about four- to six-times higher, depending on which factors we monitor through the watches.
Our study was one of several showing the value of digital biomarkers, rather than a single blockbuster paper. With so many new ideas and technologies coming out around Covid, it’s hard to be that signal through the noise. More studies are needed, but this line of research is important because, rather than treat everyone as equally likely to have an infectious disease, we can use prior knowledge from smartwatches. With monkeypox, for example, you've got many more people who need to be tested than you have tests available. Information from the smartwatches enables you to improve how you allocate those tests.
Smartwatch data could also be applied to chronic diseases. For viruses, we’re looking for information about anomalies – a big change point in people’s health. For chronic diseases, it’s more like a slow, steady change. Our research lays the groundwork for the signals coming from smartwatches to be useful in a health setting, and now it’s up to us to detect more of these chronic cases. We want to go from the idea that we have this single change point, like a heart attack or stroke, and focus on the part before that, to see if we can detect it.
A Vaccine For RSV
Norbert Pardi, Vaccines Group Lead, Penn Institute for RNA Innovation, University of Pennsylvania
Scientists have long been trying to develop a vaccine for respiratory syncytial virus (RSV), and it looks like Pfizer are closing in on this goal, based on the latest clinical trial data in newborns which they released in November. Pfizer have developed a protein-based vaccine against the F protein of RSV, which they are giving to pregnant women. It turns out that it induces a robust immune response after the administration of a single shot and it seems to be highly protective in newborns. The efficacy was over 80% after 90 days, so it protected very well against severe disease, and even though this dropped a little after six month, it was still pretty high.
I think this has been a very important breakthrough, and very timely at the moment with both COVID-19, influenza and RSV circulating, which just shows the importance of having a vaccine which works well in both the very young and the very old.
The road to an RSV vaccine has also illustrated the importance of teamwork in 21st century vaccine development. You need people with different backgrounds to solve these challenges – microbiologists, immunologists and structural biologists working together to understand how viruses work, and how our immune system induces protective responses against certain viruses. It has been this kind of teamwork which has yielded the findings that targeting the prefusion stabilized form of the F protein in RSV induces much stronger and highly protective immune responses.
Gene therapy shows its potential
Nicole Paulk, Assistant Professor of Gene Therapy at the University of California, San Francisco
The recent US Food and Drug Administration (FDA) approval of Hemgenix, a gene therapy for hemophilia B, is big for a lot of reasons. While hemophilia is absolutely a rare disease, it is astronomically more common than the first two approvals – Luxturna for RPE65-meidated inherited retinal dystrophy and Zolgensma for spinal muscular atrophy - so many more patients will be treated with this. In terms of numbers of patients, we are now starting to creep up into things that are much more common, which is a huge step in terms of our ability to scale the production of an adeno-associated virus (AAV) vector for gene therapy.
Hemophilia is also a really special patient population because this has been the darling indication for AAV gene therapy for the last 20 to 30 years. AAV trafficks to the liver so well, it’s really easy for us to target the tissues that we want. If you look at the numbers, there have been more gene therapy scientists working on hemophilia than any other condition. There have just been thousands and thousands of us working on gene therapy indications for the last 20 or 30 years, so to see the first of these approvals make it, feels really special.
I am sure it is even more special for the patients because now they have a choice – do I want to stay on my recombinant factor drug that I need to take every day for the rest of my life, or right now I could get a one-time infusion of this virus and possibly experience curative levels of expression for the rest of my life. And this is just the first one for hemophilia, there’s going to end up being a dozen gene therapies within the next five years, targeted towards different hemophilias.
Every single approval is momentous for the entire field because it gets investors excited, it gets companies and physicians excited, and that helps speed things up. Right now, it's still a challenge to produce enough for double digit patients. But with more interest comes the experiments and trials that allow us to pick up the knowledge to scale things up, so that we can go after bigger diseases like diabetes, congestive heart failure, cancer, all of these much bigger afflictions.
Treating Thickened Hearts
John Spertus, Professor in Metabolic and Vascular Disease Research, UMKC School of Medicine
Hypertrophic cardiomyopathy (HCM) is a disease that causes your heart muscle to enlarge, and the walls of your heart chambers thicken and reduce in size. Because of this, they cannot hold as much blood and may stiffen, causing some sufferers to experience progressive shortness of breath, fatigue and ultimately heart failure.
So far we have only had very crude ways of treating it, using beta blockers, calcium channel blockers or other medications which cause the heart to beat less strongly. This works for some patients but a lot of time it does not, which means you have to consider removing part of the wall of the heart with surgery.
Earlier this year, a trial of a drug called mavacamten, became the first study to show positive results in treating HCM. What is remarkable about mavacamten is that it is directed at trying to block the overly vigorous contractile proteins in the heart, so it is a highly targeted, focused way of addressing the key problem in these patients. The study demonstrated a really large improvement in patient quality of life where they were on the drug, and when they went off the drug, the quality of life went away.
Some specialists are now hypothesizing that it may work for other cardiovascular diseases where the heart either beats too strongly or it does not relax well enough, but just having a treatment for HCM is a really big deal. For years we have not been very aggressive in identifying and treating these patients because there have not been great treatments available, so this could lead to a new era.
Regenerating Organs
David Andrijevic, Associate Research Scientist in neuroscience at Yale School of Medicine
As soon as the heartbeat stops, a whole chain of biochemical processes resulting from ischemia – the lack of blood flow, oxygen and nutrients – begins to destroy the body’s cells and organs. My colleagues and I at Yale School of Medicine have been investigating whether we can recover organs after prolonged ischemia, with the main goal of expanding the organ donor pool.
Earlier this year we published a paper in which we showed that we could use technology to restore blood circulation, other cellular functions and even heart activity in pigs, one hour after their deaths. This was done using a perfusion technology to substitute heart, lung and kidney function, and deliver an experimental cell protective fluid to these organs which aimed to stop cell death and aid in the recovery.
One of the aims of this technology is that it can be used in future to lengthen the time window for recovering organs for donation after a person has been declared dead, a logistical hurdle which would allow us to substantially increase the donor pool. We might also be able to use this cell protective fluid in studies to see if it can help people who have suffered from strokes and myocardial infarction. In future, if we managed to achieve an adequate brain recovery – and the brain, out of all the organs, is the most susceptible to ischemia – this might also change some paradigms in resuscitation medicine.
Antibody-Drug Conjugates for Cancer
Yosi Shamay, Cancer Nanomedicine and Nanoinformatics researcher at the Technion Israel Institute of Technology
For the past four or five years, antibody-drug conjugates (ADCs) - a cancer drug where you have an antibody conjugated to a toxin - have been used only in patients with specific cancers that display high expression of a target protein, for example HER2-positive breast cancer. But in 2022, there have been clinical trials where ADCs have shown remarkable results in patients with low expression of HER2, which is something we never expected to see.
In July 2022, AstraZeneca published the results of a clinical trial, which showed that an ADC called trastuzumab deruxtecan can offer a very big survival benefit to breast cancer patients with very little expression of HER2, levels so low that they would be borderline undetectable for a pathologist. They got a strong survival signal for patients with very aggressive, metastatic disease.
I think this is very interesting and important because it means that it might pave the way to include more patients in clinical trials looking at ADCs for other cancers, for example lymphoma, colon cancer, lung cancers, even if they have low expression of the protein target. It also holds implications for CAR-T cells - where you genetically engineer a T cell to attack the cancer - because the concept is very similar. If we now know that an ADC can have a survival benefit, even in patients with very low target expression, the same might be true for T cells.
Look back further: Breakthroughs of 2021
https://leaps.org/6-biotech-breakthroughs-of-2021-that-missed-the-attention-they-deserved/
Repairing Cells and Longevity Myths with Dr. Charles Brenner
Meet Charles Brenner, the Longevity Skeptic. Brenner, a leading biochemist at City of Hope National Medical Center in L.A., has been attending the largest longevity conferences with one main purpose: to point out that some of the other speakers are full of it.
Brenner is "throwing cold water" on several scientists in the field of aging, accusing them of hyping various fountains of youth, despite limited evidence for these therapies.
In this podcast episode, Brenner sat down with Leaps.org to discuss his groundbreaking work on metabolism and his efforts to counter what he considers to be bad science.
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In addition to bringing his candor to conferences, Brenner is applying it in academic journals, publishing a paper in September, "A Science-Based Review of the World's Best-Selling Book on Aging," in which he pans the author of this bestseller, David Sinclair, a Harvard biologist, for talking up the potential for humans to live far past 100. These aspirations may sound nice, but they're not backed by science, Brenner says. He's had high-profile debates online with Sinclair and Aubrey de Grey, a prominent biomedical gerontologist.
Meanwhile, in his own lab work, Brenner is credited with identifying a vitamin precursor called NR that seems to enable repair of cellular damage that happens as we get older - a major discovery that he's helped turn into a supplement, commercialized with a company called ChromaDex.
Whether it's possible to extend human lifespan is a pressing question as investments in longevity startups are projected to increase from $40 billion to $600 billion over the next three years. The field of biological aging seems split on the question of whether "anti-aging" therapies can significantly lengthen our natural lifespans, as Sinclair believes. Brenner, Morgan Levine of Altos Labs and Matt Kaeberlein of the University of Washington have argued that the only realistic goal is to extend one's window of healthy years, or healthspan, rather than trying to break the biological ceiling of our species.
Brenner is an intriguing figure in these debates. Although he’s been introduced in public appearances as a longevity skeptic, he calls himself an optimist.
Links:
Charles Brenner, City of Hope
Charles Brenner on Twitter
Charles Brenner's debate with Aubrey de Grey
Brenner's paper, "A Science-Based Review of the World's Best-Selling Book on Aging"
Peter Attia's recent blog on NR supplements
Brad Stanfield's recent reaction to "David Sinclair vs Charles Brenner"
ChromaDex NR supplement