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."
A new injection is helping stave off RSV this season
In November 2021, Mickayla Wininger’s then one-month-old son, Malcolm, endured a terrifying bout with RSV, the respiratory syncytial (sin-SISH-uhl) virus—a common ailment that affects all age groups. Most people recover from mild, cold-like symptoms in a week or two, but RSV can be life-threatening in others, particularly infants.
Wininger, who lives in southern Illinois, was dressing Malcolm for bed when she noticed what seemed to be a minor irregularity with this breathing. She and her fiancé, Gavin McCullough, planned to take him to the hospital the next day. The matter became urgent when, in the morning, the boy’s breathing appeared to have stopped.
After they dialed 911, Malcolm started breathing again, but he ended up being hospitalized three times for RSV and defects in his heart. Eventually, he recovered fully from RSV, but “it was our worst nightmare coming to life,” Wininger recalled.
It’s a scenario that the federal government is taking steps to prevent. In July, the Food and Drug Administration approved a single-dose, long-acting injection to protect babies and toddlers. The injection, called Beyfortus, or nirsevimab, became available this October. It reduces the incidence of RSV in pre-term babies and other infants for their first RSV season. Children at highest risk for severe RSV are those who were born prematurely and have either chronic lung disease of prematurity or congenital heart disease. In those cases, RSV can progress to lower respiratory tract diseases such as pneumonia and bronchiolitis, or swelling of the lung’s small airway passages.
Each year, RSV is responsible for 2.1 million outpatient visits among children younger than five-years-old, 58,000 to 80,000 hospitalizations in this age group, and between 100 and 300 deaths, according to the Centers for Disease Control and Prevention. Transmitted through close contact with an infected person, the virus circulates on a seasonal basis in most regions of the country, typically emerging in the fall and peaking in the winter.
In August, however, the CDC issued a health advisory on a late-summer surge in severe cases of RSV among young children in Florida and Georgia. The agency predicts "increased RSV activity spreading north and west over the following two to three months.”
Infants are generally more susceptible to RSV than older people because their airways are very small, and their mechanisms to clear these passages are underdeveloped. RSV also causes mucus production and inflammation, which is more of a problem when the airway is smaller, said Jennifer Duchon, an associate professor of newborn medicine and pediatrics in the Icahn School of Medicine at Mount Sinai in New York.
In 2021 and 2022, RSV cases spiked, sending many to emergency departments. “RSV can cause serious disease in infants and some children and results in a large number of emergency department and physician office visits each year,” John Farley, director of the Office of Infectious Diseases in the FDA’s Center for Drug Evaluation and Research, said in a news release announcing the approval of the RSV drug. The decision “addresses the great need for products to help reduce the impact of RSV disease on children, families and the health care system.”
Sean O’Leary, chair of the committee on infectious diseases for the American Academy of Pediatrics, says that “we’ve never had a product like this for routine use in children, so this is very exciting news.” It is recommended for all kids under eight months old for their first RSV season. “I would encourage nirsevimab for all eligible children when it becomes available,” O’Leary said.
For those children at elevated risk of severe RSV and between the ages of 8 and 19 months, the CDC recommends one dose in their second RSV season.
The drug will be “really helpful to keep babies healthy and out of the hospital,” said O’Leary, a professor of pediatrics at the University of Colorado Anschutz Medical Campus/Children’s Hospital Colorado in Denver.
An antiviral drug called Synagis (palivizumab) has been an option to prevent serious RSV illness in high-risk infants since it was approved by the FDA in 1998. The injection must be given monthly during RSV season. However, its use is limited to “certain children considered at high risk for complications, does not help cure or treat children already suffering from serious RSV disease, and cannot prevent RSV infection,” according to the National Foundation for Infectious Diseases.
Until the approval this summer of the new monoclonal antibody, nirsevimab, there wasn’t a reliable method to prevent infection in most healthy infants.
Both nirsevimab and palivizumab are monoclonal antibodies that act against RSV. Monoclonal antibodies are lab-made proteins that mimic the immune system’s ability to fight off harmful pathogens such as viruses. A single intramuscular injection of nirsevimab preceding or during RSV season may provide protection.
The strategy with the new monoclonal antibody is “to extend protection to healthy infants who nonetheless are at risk because of their age, as well as infants with additional medical risk factors,” said Philippa Gordon, a pediatrician and infectious disease specialist in Brooklyn, New York, and medical adviser to Park Slope Parents, an online community support group.
No specific preventive measure is needed for older and healthier kids because they will develop active immunity, which is more durable. Meanwhile, older adults, who are also vulnerable to RSV, can receive one of two new vaccines. So can pregnant women, who pass on immunity to the fetus, Gordon said.
Until the approval this summer of the new monoclonal antibody, nirsevimab, there wasn’t a reliable method to prevent infection in most healthy infants, “nor is there any treatment other than giving oxygen or supportive care,” said Stanley Spinner, chief medical officer and vice president of Texas Children’s Pediatrics and Texas Children’s Urgent Care.
As with any virus, washing hands frequently and keeping infants and children away from sick people are the best defenses, Duchon said. This approach isn’t foolproof because viruses can run rampant in daycare centers, schools and parents’ workplaces, she added.
Mickayla Wininger, Malcolm’s mother, insists that family and friends wear masks, wash their hands and use hand sanitizer when they’re around her daughter and two sons. She doesn’t allow them to kiss or touch the children. Some people take it personally, but she would rather be safe than sorry.
Wininger recalls the severe anxiety caused by Malcolm's ordeal with RSV. After returning with her infant from his hospital stays, she was terrified to go to sleep. “My fiancé and I would trade shifts, so that someone was watching over our son 24 hours a day,” she said. “I was doing a night shift, so I would take caffeine pills to try and keep myself awake and would end up crashing early hours in the morning and wake up frantically thinking something happened to my son.”
Two years later, her anxiety has become more manageable, and Malcolm is doing well. “He is thriving now,” Wininger said. He recently had his second birthday and "is just the spunkiest boy you will ever meet. He looked death straight in the eyes and fought to be here today.”
Story by Big Think
For most of history, artificial intelligence (AI) has been relegated almost entirely to the realm of science fiction. Then, in late 2022, it burst into reality — seemingly out of nowhere — with the popular launch of ChatGPT, the generative AI chatbot that solves tricky problems, designs rockets, has deep conversations with users, and even aces the Bar exam.
But the truth is that before ChatGPT nabbed the public’s attention, AI was already here, and it was doing more important things than writing essays for lazy college students. Case in point: It was key to saving the lives of tens of millions of people.
AI-designed mRNA vaccines
As Dave Johnson, chief data and AI officer at Moderna, told MIT Technology Review‘s In Machines We Trust podcast in 2022, AI was integral to creating the company’s highly effective mRNA vaccine against COVID. Moderna and Pfizer/BioNTech’s mRNA vaccines collectively saved between 15 and 20 million lives, according to one estimate from 2022.
Johnson described how AI was hard at work at Moderna, well before COVID arose to infect billions. The pharmaceutical company focuses on finding mRNA therapies to fight off infectious disease, treat cancer, or thwart genetic illness, among other medical applications. Messenger RNA molecules are essentially molecular instructions for cells that tell them how to create specific proteins, which do everything from fighting infection, to catalyzing reactions, to relaying cellular messages.
Johnson and his team put AI and automated robots to work making lots of different mRNAs for scientists to experiment with. Moderna quickly went from making about 30 per month to more than one thousand. They then created AI algorithms to optimize mRNA to maximize protein production in the body — more bang for the biological buck.
For Johnson and his team’s next trick, they used AI to automate science, itself. Once Moderna’s scientists have an mRNA to experiment with, they do pre-clinical tests in the lab. They then pore over reams of data to see which mRNAs could progress to the next stage: animal trials. This process is long, repetitive, and soul-sucking — ill-suited to a creative scientist but great for a mindless AI algorithm. With scientists’ input, models were made to automate this tedious process.
“We don’t think about AI in the context of replacing humans,” says Dave Johnson, chief data and AI officer at Moderna. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
All these AI systems were in put in place over the past decade. Then COVID showed up. So when the genome sequence of the coronavirus was made public in January 2020, Moderna was off to the races pumping out and testing mRNAs that would tell cells how to manufacture the coronavirus’s spike protein so that the body’s immune system would recognize and destroy it. Within 42 days, the company had an mRNA vaccine ready to be tested in humans. It eventually went into hundreds of millions of arms.
Biotech harnesses the power of AI
Moderna is now turning its attention to other ailments that could be solved with mRNA, and the company is continuing to lean on AI. Scientists are still coming to Johnson with automation requests, which he happily obliges.
“We don’t think about AI in the context of replacing humans,” he told the Me, Myself, and AI podcast. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
Moderna, which was founded as a “digital biotech,” is undoubtedly the poster child of AI use in mRNA vaccines. Moderna recently signed a deal with IBM to use the company’s quantum computers as well as its proprietary generative AI, MoLFormer.
Moderna’s success is encouraging other companies to follow its example. In January, BioNTech, which partnered with Pfizer to make the other highly effective mRNA vaccine against COVID, acquired the company InstaDeep for $440 million to implement its machine learning AI across its mRNA medicine platform. And in May, Chinese technology giant Baidu announced an AI tool that designs super-optimized mRNA sequences in minutes. A nearly countless number of mRNA molecules can code for the same protein, but some are more stable and result in the production of more proteins. Baidu’s AI, called “LinearDesign,” finds these mRNAs. The company licensed the tool to French pharmaceutical company Sanofi.
Writing in the journal Accounts of Chemical Research in late 2021, Sebastian M. Castillo-Hair and Georg Seelig, computer engineers who focus on synthetic biology at the University of Washington, forecast that AI machine learning models will further accelerate the biotechnology research process, putting mRNA medicine into overdrive to the benefit of all.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.