Imagine losing your child in their first year of life and having no idea what caused it. This is the heartbreaking reality for thousands of families each year who lose a child to Sudden Unexpected Infant Death (SUID). Despite decades-long efforts to prevent SUID, it remains the leading cause of death for children between one month and one year of age in developed nations. In the U.S. alone, 3,600 children die unexpectedly of SUID each year.
For years, researchers hypothesized that infants who died due to SUID in the earliest stages of the life differed from those dying of SUID later. Now, for the first time, we know, thanks to the single largest study ever undertaken on the subject, this is statistically the case.
Working in collaboration with world-class researchers at Seattle Children’s Research Institute and the University of Auckland, we analyzed the Center for Disease Control (CDC) data on every child born in the U.S. over a decade, including over 41 million births and 37,000 SUID deaths. We compared all possible groups by the age at the time of death to understand if these populations were different.
We hope our progress in piecing together the SUID puzzle ultimately saves lives, and gives parents and researchers hope for the future.
I am not sure that there is an equivalent to GeekWire in other parts of the nation (there is absolutely not one in the SE/Carolinas), so in that respect this would be a local story. However, I do follow them, and it is tangentially related to an earlier post this week about a regional Medical School.
Being a Wound Care patient myself, any innovation to improve my interactions with the leg wound that is chronic is a plus and welcomed.
New funding: Seattle startup KitoTech Medical raised $1.5 million as part of a convertible note round to fund the development of its microMend wound closure device, which was made from technology originally developed at the University of Washington.
The startup says that microMend, which is currently undergoing clinical trials, can heal wounds up to three times faster than those closed with traditional sutures…
When alerted to the story, a famous activist I follow, @PattyArquette had inquired about doing this for burn victims.
As I did some simple Binging (only because they Bribe you to search with them, but that’s another subject altogether) I found the closest Medical School to where I live is working on it. This particular University is in talks with the dominant health system here on a partnership to bring a Medical School to Charlotte after prior talks with UNC Healthcare fizzled.
There is a “kinda” branch of UNC Healthcare that is apparently still operational. My guess is that the planned combination either has not gotten far enough along to cover this conflict, or it’s not publicly communicated. Around here, either scenario is possible.
It never occurred to me that Hospitals are soft targets. I’m mostly not alone in this fact. The reasons why scare the daylights out of me, and with cost pressures and the movement towards everyone being able to participate, this will only get work.
Now would be a good time to think of Hospital security in the same manner of our Election systems and other government entities, even if the Hospital is an official for-profit facility. The bad actors don’t make the distinction.
Over 32 million people have had their health information breached this year, in 311 hacking incidents against health care providers that are under investigation by the Department of Health and Human Services.
The big picture: Complex, bloated hospital systems are a glaring weak spot in U.S. cybersecurity — and there are limits on the government’s power to help…
Biomedical researchers are embracing artificial intelligence to accelerate the implementation of cancer treatments that target patients’ specific genomic profiles, a type of precision medicine that in some cases is more effective than traditional chemotherapy and has fewer side effects.
Mockus and her colleagues are using Microsoft’s machine reading technology to curate CKB, which stores structured information about genomic mutations that drive cancer, drugs that target cancer genes and the response of patients to those drugs.
To be successful, Poon and his team need to train machine learning models in such a way that they catch all the potentially relevant information – ensure there are no gaps in content – and, at the same time, weed out irrelevant information sufficiently to make the curation process more efficient.
As I am getting prepared to go see my doctor this afternoon (EDT) this blog post caught my attention. This is the type of story not necessarily expected from this publisher, but it does have a connection to their beat, being Microsoft. I have asked the Dr. about this and he admits that the paperwork part is the least favorite aspect of the job and not what he signed up for. The EHR system at his medical facility needs either serious work or a better buy-in.
Microsoft is teaming up with Nuance Communications to revamp hospital exam rooms with artificial intelligence and natural language processing, creating technology that will help clinicians spend less time documenting interactions with patients — a well-known source of burnout among health workers.
Studies have found that doctors spend more than half their day interacting with the electronic health record (EHR). And more than two-thirds of physicians say that medical record documentation contributes greatly to burnout.
This is near straight from the ultimate source, and published after the original post.
A new strategic partnership between Microsoft and Nuance Communications Inc. announced today will work to accelerate and deliver this level of ambient clinical intelligence to exam rooms, allowing ambient sensing and conversational AI to take care of some of the more burdensome administrative tasks and to provide clinical documentation that writes itself. That, in turn, will allow doctors to turn their attention fully to taking care of patients.
Of course, there are still immense technical challenges to getting to that ideal scenario of the future. But the companies say they believe that they already have a strong foundation in features from Nuance’s ambient clinical intelligence (ACI) technology unveiled earlier this year and Microsoft’s Project EmpowerMD Intelligent Scribe Service. Both are using AI technologies to learn how to convert doctor-patient conversations into useful clinical documentation, potentially reducing errors, saving doctors’ time and improving the overall physician experience.
Living in a urban center, I never really thought about the bandwidth requirements for video telehealth, but mandates to bring it to places that are still on effectively dial-up or 3G speeds are short-sighted at best. Then again, my local providers of such services aren’t covered by Medicaid here in North Carolina (or if they are, that’s certainly not promoted!).
A new study finds that states that mandate video-based telemedicine may be curbing access to care for underserved populations that don;t have the broadband to use video.