By early February, the health-care system in Washington—the first US state to have a confirmed case of covid-19—was bracing for the spread of the novel coronavirus. When local hospitals began asking for frontline volunteers, Florence (Huang) Sheehan ’71 felt obliged, but disappointed, to decline.
“Being elderly was clearly identified as a risk,” explains Sheehan, 70, who is a cardiologist. “But as a physician, I just felt I ought to be doing something more. So when
I got an email asking about covid training, I immediately threw myself into that. I felt so glad that there was something I could do, that only I could do—that I had unique technology to provide help.”
Over the past decade, as a senior investigator at the University of Washington, Sheehan has developed a line of diagnostic medical ultrasound simulators. These devices—consisting of a computer, a mannequin, a mock ultrasound probe, and a tracking system that tells the computer where the probe is—are used to train fellows, residents, and medical and pre-med students in ultrasound procedures. Now the University of Washington Medical Center was citing multiple requests from hospitalists for training in bedside cardiac ultrasound so that they could monitor their covid-19 patients for heart failure, a dangerous complication.
“Patients were developing heart failure even when they looked like they were recovering from their lung infection,” Sheehan says.
Within a week, she reworked her standard curriculum and launched coronavirus-specific training in two local hospitals, expanding to two more hospitals shortly after. The course is simplified to respond to the urgent nature of the pandemic; for instance, although the standard course covers seven views of the heart, the covid curriculum includes only the four that are needed to identify heart failure. But Sheehan has added new features as well.
“The covid-19 curriculum includes a tool that helps with eye training,” she says. “As you are doing a scan, you see examples of real hearts, comparing the scan you just acquired to hearts with varying degrees of contraction, an indication of heart function. Because they are displayed side by side, and the heartbeats are synchronized, it makes it easier to spot the dysfunction.” Her training tools, she says, are the only simulators of their kind that display images from real patients and provide immediate feedback on whether the user is accurately positioning the probe and capturing diagnostic-quality images.
Sheehan earned her MD at the University of Chicago Pritzker School of Medicine after undergraduate biology studies at MIT. She then spent three years at the National Institutes of Health’s National Heart, Lung, and Blood Institute, where in 1977 she became the first woman to hold the position of clinical associate. She completed her training at the University of Washington and joined the faculty in 1982, eventually being promoted to research professor. She has been working on ultrasound simulators since 2010, and it’s been her most rewarding work, she says. She and her colleagues at the university also built the world’s first vascular and transcranial Doppler simulators (for training clinicians in imaging arteries in the neck, legs, arms, and brain). All of her simulators are available through Sheehan Medical, of which she is the founder and president.
Sheehan credits her MIT training with her success at fusing medicine, engineering, and technology.
“Even though I majored in Course 7, life sciences, I gained a pretty good understanding of what engineering could offer to medicine, so my research has always been on the engineering side of cardiology,” she says. “From my years at MIT, I have the ability to translate between medicine and engineering. Helping the two parts of the team to understand each other is really quite important.”
The gene-edited pig heart given to a dying patient was infected with a pig virus
The first transplant of a genetically-modified pig heart into a human may have ended prematurely because of a well-known—and avoidable—risk.
Meta has built a massive new language AI—and it’s giving it away for free
Facebook’s parent company is inviting researchers to pore over and pick apart the flaws in its version of GPT-3
Saudi Arabia plans to spend $1 billion a year discovering treatments to slow aging
The oil kingdom fears that its population is aging at an accelerated rate and hopes to test drugs to reverse the problem. First up might be the diabetes drug metformin.
The dark secret behind those cute AI-generated animal images
Google Brain has revealed its own image-making AI, called Imagen. But don't expect to see anything that isn't wholesome.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.