This past week, the 2016 Summer Olympic and Paralympic Games began in Rio de Janeiro, Brazil, with more than 11,000 athletes and 500,000 international fans expected to arrive. As a major mass gathering, the Olympic Games are always vulnerable to disease outbreaks. This summer, all eyes in public health are on the concurrently occurring Zika virus and the under-reported H1N1 influenza outbreak in Brazil.
According to the European Centre for Disease Prevention and Control (ECDC), visitors to the 2016 Games are most at risk for gastrointestinal illness from waterborne pathogens and mosquito-borne infections, including dengue, chikungunya and Zika virus. So far in 2016, we have seen an estimated 165,000 cases of Zika virus, 1,345,286 cases of dengue, 137,808 cases of chikungunya and more than 6,500 cases of H1N1 influenza, with an additional 1,233 deaths from H1N1 — all in Brazil alone. …
Today, most people’s clinical records remain siloed at a single hospital or health network. For the most part, health apps can’t tap into these data, nor can medicine learn from them. Also, most electronic health records (EHRs) are unable to import the biometric data people are collecting from their own devices, much less interpret them.
In 2009, Kenneth Mandl, MD, MPH, and Isaac Kohane, MD, PhD, of Boston Children’s Hospital published a manifesto in The New England Journal of Medicine calling for health care information systems to have iPhone functionality. This would entail several key attributes: liquidity of data, modularity of applications, accommodation of both open-source and closed-source software through open standards, and the ability to support diverse applications.
In short, they envisioned a “plug and play” health IT platform. …
Early influenza detection and the ability to predict outbreaks are critical to public health. Reliable estimates of when influenza will peak can help drive proper timing of flu shots and prevent health systems from being blindsided by unexpected surges, as happened in the 2012-2013 flu season.
The Centers for Disease Control and Prevention collects accurate data, but with a time lag of one to two weeks. Google Flu Trends began offering real-time data in 2008, based on people’s Internet searches for flu-related terms. But it ultimately failed, at least in part because not everyone who searches “flu” is actually sick. As of last year, Google instead now sends its search data to scientists at the CDC, Columbia University and Boston Children’s Hospital.
Now, a Boston Children’s-led team demonstrates a more accurate way to pick up flu trends in near-real-time — at least a week ahead of the CDC — by harnessing data from electronic health records (EHRs). …
Through smart home hubs and the growing Internet of Things, people can now control lights, thermostats and other appliances and get information and entertainment with their always-connected digital devices. Consumers have widely adopted home automation products like Nest from Google and ecosystems like Apple’s HomeKit and Amazon’s Alexa.
But home hubs also have the potential to achieve the promise of connected health — access to health care services anywhere and anytime.
Home hubs can deliver enormous value as a means of health care delivery — not just helping casual consumers become familiar with their health and take preventive measures, but also helping manage complex care for patients with chronic illness and supporting timely decision making by clinical teams. Everybody involved with a person’s care can be plugged in, enabling coordination across providers and caregivers in a way that’s increasingly intuitive and meaningful. …
It’s a surprisingly simple but important question in medicine. While a body temperature of 98.6°F (37°C) is generally considered “normal,” this number doesn’t account for temperature differences between individuals — and even within individuals at various times of the day. While a common sign of infection, fever can also occur with other medical conditions, including autoimmune and autoinflammatory diseases.
“Many factors come together to set an individual’s ‘normal’ temperature, such as age, size, time of day and maybe even ancestry,” says Jared Hawkins, MMSc, PhD, the director of informatics for Boston Children’s Hospital’s Innovation & Digital Health Accelerator (IDHA) and a member of the hospital’s Computational Health Informatics Program. “We want to help create a better understanding of the normal temperature variations throughout the day, to learn to use fever as a tool to improve medical diagnosis, and to evaluate the effect of fever medications on symptoms and disease course.”
President Obama’s Precision Medicine Initiative, first laid out in his 2015 State of Union Address, aims to develop individualized care that empowers patients and takes into account genetic, environmental and lifestyle differences. Obama is asking Congress for $309 million for the initiative next year.
One big component is the Department of Veteran Affairs’ Million Veteran Program, which has signed up more than 450,000 veterans to date and is now open to active-duty military personnel. Another is NIH support for cancer trials that match treatments with patients’ genomic profiles.
As Might detailed today at a White House summit on the Precision Medicine Initiative, he now has worms at the University of Utah modeling his son’s disease, whose symptoms include seizures, extreme developmental delay and an inability to make tears. He also has a molecular target and a list of 70 compounds that hit it, including 14 that are already approved by the FDA.
Can Might’s vision be scaled and made part of routine medical care, keeping the patient front and center? …
To help public health investigators, policy makers, epidemiologists and others keep up with the virus, the team at HealthMap has released a dedicated Zika virus tracking resource at http://www.healthmap.org/zika/. The new map brings in Zika-related information and news from a variety of sources in near real-time, and includes a constantly updated interactive timeline of the virus’s explosive spread across South and Central America.
What are the public health consequences of freely available weed — both acute and long-term? Are we making a big mistake here?
Concerned about potential harms to adolescents, Sharon Levy, MD, MPH and Elissa Weitzman, ScD, Msc, of Boston Children’s Hospital’s divisions of Developmental Medicine and Adolescent/Young Adult Medicine respectively, argue for a better, real-time marijuana surveillance system in this week’s JAMA Pediatrics. …
Hacking Pediatrics, now in its third year, continues to experiment with its format. 2015’s “Mashup” had a greater focus on partnerships, curation and delivering value to innovators at Boston Children’s Hospital. The brunt of the idea pitching and team formation took place in advance, allowing the event, on November 14, to be collapsed into one day.
The Hacking Pediatrics team (Kate Donovan, Mike Docktor, Meg McCabe, Cassandra Bannos and Leila Amerling) brokered collaborations with a dozen industry partners such as Microsoft, Cerner, Box, CVS Health and Boston Scientific. Over the course of a hectic 12-hour day, they worked with 17 teams of Boston Children’s innovators and experts from partner organizations who presented their final ideas to a panel of judges.
In another change for 2015, the Hacking Pediatrics team issued nine awards — but no immediate prizes. This was meant to incentivize teams to continue to work and meet milestones to earn real rewards, like a $10,000 design prize offered up by design firm Mad*Pow. …
At the moment, it would appear the bacteria are winning. Antibiotic resistance is on the rise globally (in part because much of the public may not really understand how antibiotics work), threatening doctors’ ability to treat bacterial infections and potentially making surgery, chemotherapy and other medical procedures whose safety depends on antibiotic prophylaxis more risky.
Mapping antibiotic resistance — which bacteria are resistant to which drugs, and where — can help clinicians and public health officials decide how best to focus their control efforts. The challenge to date has been compiling resistance data in geographically useful ways.
“The data about antibiotic resistance are fragmented across laboratories and hospitals globally,” says Derek MacFadden, MD, a doctoral student at the Harvard T.H. Chan School of Public Health who is working with the HealthMap team in Boston Children’s Computational Health Informatics Program. “Most of the data that are available are very high level, so you can’t get an understanding of regional-level antibiotic resistance.”
This is where ResistanceOpen could come in handy. This new tool, launched by HealthMap team this week during the World Health Organization’s World Antibiotic Awareness Week, provides a window into regional and local antibiotic resistance patterns across the globe.