Clever Firm Predicts Patients Most at Risk, Then Tries to Intervene Before They Get Sicker
The diabetic patient hit the danger zone.
Ideally, blood sugar, measured by an A1C test, rests at 5.9 or less. A 7 is elevated, according to the Diabetes Council. Over 10, and you're into the extreme danger zone, at risk of every diabetic crisis from kidney failure to blindness.
In three months of working with a case manager, Jen's blood sugar had dropped to 7.2, a much safer range.
This patient's A1C was 10. Let's call her Jen for the sake of this story. (Although the facts of her case are real, the patient's actual name wasn't released due to privacy laws.).
Jen happens to live in Pennsylvania's Lehigh Valley, home of the nonprofit Lehigh Valley Health Network, which has eight hospital campuses and various clinics and other services. This network has invested more than $1 billion in IT infrastructure and founded Populytics, a spin-off firm that tracks and analyzes patient data, and makes care suggestions based on that data.
When Jen left the doctor's office, the Populytics data machine started churning, analyzing her data compared to a wealth of information about future likely hospital visits if she did not comply with recommendations, as well as the potential positive impacts of outreach and early intervention.
About a month after Jen received the dangerous blood test results, a community outreach specialist with psychological training called her. She was on a list generated by Populytics of follow-up patients to contact.
"It's a very gentle conversation," says Cathryn Kelly, who manages a care coordination team at Populytics. "The case manager provides them understanding and support and coaching." The goal, in this case, was small behavioral changes that would actually stick, like dietary ones.
In three months of working with a case manager, Jen's blood sugar had dropped to 7.2, a much safer range. The odds of her cycling back to the hospital ER or veering into kidney failure, or worse, had dropped significantly.
While the health network is extremely localized to one area of one state, using data to inform precise medical decision-making appears to be the wave of the future, says Ann Mongovern, the associate director of Health Care Ethics at the Markkula Center for Applied Ethics at Santa Clara University in California.
"Many hospitals and hospital systems don't yet try to do this at all, which is striking given where we're at in terms of our general technical ability in this society," Mongovern says.
How It Happened
While many hospitals make money by filling beds, the Lehigh Valley Health Network, as a nonprofit, accepts many patients on Medicaid and other government insurances that don't cover some of the costs of a hospitalization. The area's population is both poorer and older than national averages, according to the U.S. Census data, meaning more people with higher medical needs that may not have the support to care for themselves. They end up in the ER, or worse, again and again.
In the early 2000s, LVHN CEO Dr. Brian Nester started wondering if his health network could develop a way to predict who is most likely to land themselves a pricey ICU stay -- and offer support before those people end up needing serious care.
Embracing data use in such specific ways also brings up issues of data security and patient safety.
"There was an early understanding, even if you go back to the (federal) balanced budget act of 1997, that we were just kicking the can down the road to having a functional financial model to deliver healthcare to everyone with a reasonable price," Nester says. "We've got a lot of people living longer without more of an investment in the healthcare trust."
Popultyics, founded in 2013, was the result of years of planning and agonizing over those population numbers and cost concerns.
"We looked at our own health plan," Nester says. Out of all the employees and dependants on the LVHN's own insurance network, "roughly 1.5 percent of our 25,000 people — under 400 people — drove $30 million of our $130 million on insurance costs -- about 25 percent."
"You don't have to boil the ocean to take cost out of the system," he says. "You just have to focus on that 1.5%."
Take Jen, the diabetic patient. High blood sugar can lead to kidney failure, which can mean weekly expensive dialysis for 20 years. Investing in the data and staff to reach patients, he says, is "pennies compared to $100 bills."
For most doctors, "there's no awareness for providers to know who they should be seeing vs. who they are seeing. There's no incentive, because the incentive is to see as many patients as you can," he says.
To change that, first the LVHN invested in the popular medical management system, Epic. Then, they negotiated with the top 18 insurance companies that cover patients in the region to allow access to their patient care data, which means they have reams of patient history to feed the analytics machine in order to make predictions about outcomes. Nester admits not every hospital could do that -- with 52 percent of the market share, LVHN had a very strong negotiating position.
Third party services take that data and churn out analytics that feeds models and care management plans. All identifying information is stripped from the data.
"We can do predictive modeling in patients," says Populytics President and CEO Gregory Kile. "We can identify care gaps. Those care gaps are noted as alerts when the patient presents at the office."
Kile uses himself as a hypothetical patient.
"I pull up Gregory Kile, and boom, I see a flag or an alert. I see he hasn't been in for his last blood test. There is a care gap there we need to complete."
"There's just so much more you can do with that information," he says, envisioning a future where follow-up for, say, knee replacement surgery and outcomes could be tracked, and either validated or changed.
Ethical Issues at the Forefront
Of course, embracing data use in such specific ways also brings up issues of security and patient safety. For example, says medical ethicist Mongovern, there are many touchpoints where breaches could occur. The public has a growing awareness of how data used to personalize their experiences, such as social media analytics, can also be monetized and sold in ways that benefit a company, but not the user. That's not to say data supporting medical decisions is a bad thing, she says, just one with potential for public distrust if not handled thoughtfully.
"You're going to need to do this to stay competitive," she says. "But there's obviously big challenges, not the least of which is patient trust."
So far, a majority of the patients targeted – 62 percent -- appear to embrace the effort.
Among the ways the LVHN uses the data is monthly reports they call registries, which include patients who have just come in contact with the health network, either through the hospital or a doctor that works with them. The community outreach team members at Populytics take the names from the list, pull their records, and start calling. So far, a majority of the patients targeted – 62 percent -- appear to embrace the effort.
Says Nester: "Most of these are vulnerable people who are thrilled to have someone care about them. So they engage, and when a person engages in their care, they take their insulin shots. It's not rocket science. The rocket science is in identifying who the people are — the delivery of care is easy."
Podcast: New Solutions to Combat Gluten Sensitivities and Food Allergies
The "Making Sense of Science" podcast features interviews with leading medical and scientific experts about the latest developments and the big ethical and societal questions they raise. This monthly podcast is hosted by journalist Kira Peikoff, founding editor of the award-winning science outlet Leaps.org.
This month, we talk Anat Binur, the CEO of Israeli/U.S.-based biotech company Ukko. Ukko is taking a revolutionary approach to the distressing problem of food allergies and gluten sensitivities: their scientists are designing and engineering proteins that keep the good biophysical properties of the original proteins, while removing the immune-triggering parts that can cause life-threatening allergies. The end goal is proteins that are safe for everyone. Ukko is focusing first on developing a new safe gluten protein for use in baking and a new peanut protein for use as a therapeutic. Their unique platform could theoretically be used for any protein-based allergy, including cats and bees. Hear more in this episode.
Watch the 60-second trailer
Listen to the whole episode
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Kira Peikoff was the editor-in-chief of Leaps.org from 2017 to 2021. As a journalist, her work has appeared in The New York Times, Newsweek, Nautilus, Popular Mechanics, The New York Academy of Sciences, and other outlets. She is also the author of four suspense novels that explore controversial issues arising from scientific innovation: Living Proof, No Time to Die, Die Again Tomorrow, and Mother Knows Best. Peikoff holds a B.A. in Journalism from New York University and an M.S. in Bioethics from Columbia University. She lives in New Jersey with her husband and two young sons. Follow her on Twitter @KiraPeikoff.
Can a Non-Invasive Magnetic Helmet Treat Brain Cancer?
Glioblastoma is an aggressive and deadly brain cancer, causing more than 10,000 deaths in the US per year. In the last 30 years there has only been limited improvement in the survival rate despite advances in radiation therapy and chemotherapy. Today the typical survival rate is just 14 months and that extra time is spent suffering from the adverse and often brutal effects of radiation and chemotherapy.
Scientists are trying to design more effective treatments for glioblastoma with fewer side effects, and a team at the Department of Neurosurgery at Houston Methodist Hospital has created a magnetic helmet-based treatment called oncomagnetic therapy: a promising non-invasive treatment for shrinking cancerous tumors. In the first patient tried, the device was able to reduce the tumor of a glioblastoma patient by 31%. The researchers caution, however, that much more research is needed to determine its safety and effectiveness.
How It Works
“The whole idea originally came from a conversation I had with General Norman Schwarzkopf, a supposedly brilliant military strategist,” says David Baskin, professor of neurosurgery and leader of the effort at Houston Methodist. “I asked him what is the secret to your success and he said, ‘Energy. Take out the power grid and the enemy can't communicate.’ So I thought about what supplies [energy to] cancer, especially brain cancer.”
Baskin came up with the idea of targeting the mitochondria, which process and produce energy for cancer cells.
"This is the most exciting thing in glioblastoma treatment I've seen since I've been a neurosurgeon, but it is very preliminary,” Baskin says.
The magnetic helmet creates a powerful oscillating magnetic field. At a set range of frequencies and timings, it disrupts the flow of electrons in the mitochondria of cancer cells. This leads to a release of certain chemicals called Reactive Oxygen Species, or ROS. In normal cells, this excess ROS is much lower, and it's neutralized by other chemicals called antioxidants.
However, cancer cells already have more ROS: they grow rapidly and uncontrollably, so their mitochondria need to produce more energy which in turn generates more ROS. By using the powerful magnetic field, levels of ROS get so high that the malignant cells are torn apart.
The biggest challenge was working out the specific range of frequencies and timing parameters they needed to use to kill cancer cells. It took skill, intuition, luck and lots of experiments. The helmet could theoretically be used to treat all types of glioblastoma.
Developing the magnetic helmet was a collaborative process. Santosh Helekar is a neuroscientist at Houston Methodist Research Institute and the director of oncomagnetics (magnetic cancer therapies) at the Peak Center in Houston Methodist Hospital. His previous invention with colleagues gave the team a starting point to build on. “About 7 years back I developed a portable brain magnetic stimulation device to conduct brain research,” Helekar says. “We [then] conducted a pilot clinical trial in stroke patients. The results were promising.”
Helekar presented his findings to neurosurgeons including Baskin. They decided to collaborate. With a team of scientists behind them, they modified the device to kill cancer cells.
The magnetic helmet studied for treatment of glioblastoma
Dr. David Baskin
Initial Results
After success in the lab, the team got FDA approval to conduct a compassionate trial in a 53-year-old man with end-stage glioblastoma. He had tried every other treatment available. But within 30 days of using the magnetic helmet his tumor shrank by 31%.
Sadly, 36 days into the treatment, the patient had an unrelated head injury due to a fall. The treatment was paused and he later died of the injury. Autopsy results of his brain highlighted the dramatic reduction in tumor cells.
Baskin says, “This is the most exciting thing in glioblastoma treatment I've seen since I've been a neurosurgeon, but it is very preliminary.”
The helmet is part of a growing number of non-invasive cancer treatments. One device that is currently being used by glioblastoma patients is Optune. It uses electric fields called tumor treating fields to slow down cell division and has been through a successful phase 3 clinical trial.
The magnetic helmet has the promise to be another useful non-invasive treatment according to Professor Gabriel Zada, a neurosurgeon and director of the USC Brain Tumor Center. “We're learning that various electromagnetic fields and tumor treating fields appear to play a role in glioblastoma. So there is some precedent for this though the tumor treating fields work a little differently. I think there is major potential for it to be effective but of course it will require some trials.”
Professor Jonathan Sherman, a neurosurgeon and director of neuro-oncology at West Virginia University, reiterates the need for further testing. “It sounds interesting but it’s too early to tell what kind of long-term efficacy you get. We do not have enough data. Also if you’re disrupting [the magnetic field] you could negatively impact a patient. You could be affecting the normal conduction of electromagnetic activity in the brain.”
The team is currently extending their research. They are now testing the treatment in two other patients with end-stage glioblastoma. The immediate challenge is getting FDA approval for those at an earlier stage of the disease who are more likely to benefit.
The Future
Baskin and the team are designing a clinical trial in the U.S., .U.K. and Germany. After positive results in cell cultures, they’re in negotiations to collaborate with other researchers in using the technology for lung and breast cancer. With breast cancer, the soft tissue is easier to access so a magnetic device could be worn over the breast.
“My hope is to develop a treatment to treat and hopefully cure glioblastoma without radiation or chemotherapy,” Baskin says. “We're onto a strategy that could make a huge difference for patients with this disease and probably for patients with many other forms of cancer.”