The Ebola situation in Dallas—with one patient death, two nurse exposures, dozens under quarantine, and talk last week of declaring a state of emergency in the city—has thrown into stark relief the gaps between public health and frontline clinical care. But those gaps also present opportunities to make public health data work harder and to change how doctors approach clinical care in times when events and information are changing at Internet speed.
It comes down to making electronic health records (EHRs) work more flexibly, in ways that help promote situational awareness among clinicians during times of crisis and flag instances when a patient’s condition may require more attention than usual. Full story »
Parents, clinicians, app developers, designers and more had 18 hours to prototype digital healthcare solutions at Hacking Pediatrics, produced by Boston Children’s Hospital and MIT Hacking Medicine. To accompany our earlier post, we created this Storify. Full story »
What are the pain points in pediatrics? There are at least 37: the number of clinicians, parents and others who lined up at the podium last weekend to pitch problems they hoped to solve at the second annual Hacking Pediatrics.
The hackathon, produced by Boston Children’s Hospital in collaboration with MIT Hacking Medicine, brought out many common themes: Helping kids with chronic illnesses track their symptoms, take their meds and avoid lots of clinic visits. Helping parents coordinate their children’s care and locate resources. Helping pediatric clinicians make better decisions with the right information at the right time.
Hackathons have a simple formula: Pitch. Mix. Hack. Get Feedback. Iterate. Repeat—as many times as possible. Full story »
What all of these things have in common is data. Lots of it. Some of it represents kinds of data that didn’t exist 5 or 10 years ago, but all of it is slowly beginning to fuel the pharma sector’s efforts to create the next blockbuster drug or targeted therapeutic.
You just had a great meal at a restaurant. So you grab your phone and fire off a glowing review on Yelp.
Consider the opposite scenario: You just had a horrible meal at a restaurant. So you grab your phone and fire off a scathing review on Yelp.
Now here’s one more: You had a great meal at a restaurant but woke up vomiting the next morning. Do you grab your phone and fire off a complaint on Yelp that your dinner made you sick?
That’s what a trio from Boston Children’s Hospital’s Informatics Program, are banking on.
A report in Preventive Medicine, authored by John Brownstein, PhD, Elaine Nsoesie, PhD and Sheryl Kluberg, MSc, judges Yelp’s usefulness as a food poisoning surveillance tool. Their efforts are part of a growing trend among public health researchers of trying to supplement traditional foodborne illness reporting with what we, the people, say on social media.
My father had a favorite bit of advice as we embarked on our adult lives: “Go big or go home.” Going big is exactly what OPENPediatrics is doing, empowering physicians and nurses to care for children across the globe.
The Web-based digital learning platform was conceived 10 years ago by Jeffrey Burns, MD, MPH, chief of critical care at Boston Children’s Hospital, and Traci Wolbrink, MD, MPH, an associate in critical care. It concluded a year-long beta test in April 2014, and version 1 has now been launched.
Developed to impart critical care skills, OPENPediatrics uses lectures, simulators and protocols to deliver training. In the process, it has helped save lives. Full story »
Privacy policies are a sore point for Internet users. At least once a year the pitchforks and torches come out when a company like Facebook or Twitter changes its policies around how it uses, sells or secures users’ data—things like browsing habits, phone numbers, relationships and email addresses.
You don’t hear as much hue and cry over the privacy of mobile health apps, where people store and track what are literally their most intimate details. But perhaps you should.
New methods can find mutations that strike just 1 in 10 cells in a sample.
It’s become clear that our DNA is far from identical from cell to cell and that disease-causing mutations can happen in some of our cells and not others, arising at some point after we’re conceived. These so-called somatic mutations—affecting just a percentage of cells—are subtle and easy to overlook, even with next-generation genomic sequencing. And they could be more important in neurologic and psychiatric disorders than we thought.
“There are two kinds of somatic mutations that get missed,” says Christopher Walsh, MD, PhD, chief of Genetics and Genomics at Boston Children’s Hospital. “One is mutations that are limited to specific tissues: If we do a blood test, but the mutation is only in the brain, we won’t find it. Other mutations may be in all tissues but in only a fraction of the cells—a mosaic pattern. These could be detectable through a blood test in the clinic but aren’t common enough to be easily detectable.”
That’s where deep sequencing comes in. Reporting last month in The New England Journal of Medicine, Walsh and postdoctoral fellow Saumya Jamuar, MD, used the technique in 158 patients with brain malformations of unknown genetic cause, some from Walsh’s clinic, who had symptoms such as seizures, intellectual disability and speech and language impairments. Full story »
Credit: Samantha Morris, PhD, Boston Children's Hospital
If you’ve lost your way on the Boston subway, you need only consult a map to find the best route to your destination. Now stem cell engineers have a similar map to guide the making of cells and tissues for disease modeling, drug testing and regenerative medicine. It’s a computer algorithm known as CellNet.
As in this map on the cover of Cell, a cell has many possible destinations or “fates,” and can arrive at them through three main stem cell engineering methods:
• reprogramming (dialing a specialized cell, such as a skin cell, back to a stem-like state with full tissue-making potential)
• differentiation (pushing a stem cell to become a particular cell type, such as a blood cell)
• direct conversion (changing one kind of specialized cell to another kind)
Freely available on the Internet, CellNet provides clues to which methods of cellular engineering are most effective—and acts as a much-needed quality control tool. Full story »
Fitbit, Jawbone, Nike, Withings…a lot of companies are already in the wearable/mobile health technology and data tracking game. But a couple of really big players are stepping on to the court.
At their most recent Worldwide Developers Conference, Apple announced both an app and a framework—Health and HealthKit—that will tie in with various wearable technologies and health apps. HealthKit will also feed data into electronic medical record (EMR) systems like Epic, which runs at some of the largest hospitals in the country. And rumors abound that an upcoming Apple smartwatch (iWatch? iTime? Only Tim Cook knows right now) will carry a host of sensors for tracking activity and health data.
Google also wants to get into the game with a health data framework called Fit that they announced at their I/O conference in June. Unlike Apple, its strategy seems more focused on providing a standard way for trackers, devices and apps from different manufacturers to talk to Android Wear devices.
