ENTRIES TAGGED "mhealth"
What is needed for successful reform of the health care system?
Here’s what we all know: that a data-rich health care future is coming our way. And what it will look like, in large outlines. Health care reformers have learned that no single practice will improve the system. All of the following, which were discussed at O’Reilly’s recent Strata Rx conference, must fall in place.
Networked sensors and machine learning make it easy to see when things are out of the ordinary.
Much of health care — particularly for the elderly — is about detecting change, and, as the mobile health movement would have it, computers are very good at that. Given enough sensors, software can model an individual’s behavior patterns and then figure out when things are out of the ordinary — when gait slows, posture stoops or bedtime moves earlier.
Technology already exists that lets users set parameters for households they’re monitoring. Systems are available that send an alert if someone leaves the house in the middle of the night or sleeps past a preset time. Those systems involve context-specific hardware (i.e., a bed-pressure sensor) and conscientious modeling (you have to know what time your grandmother usually wakes up).
The next step would be a generic system. One that, following simple setup, would learn the habits of the people it monitors and then detect the sorts of problems that beset elderly people living alone — falls, disorientation, and so forth — as well as more subtle changes in behavior that could signal other health problems.
A group of researchers from Austria and Turkey has developed just such a system, which they presented at the IEEE’s Industrial Electronics Society meeting in Montreal in October.*
Activity as surmised in different rooms by the researchers’ machine-learning algorithms. Source: “Activity Recognition Using a Hierarchical Model.”
In their approach, the researchers train a machine-learning algorithm with several days of routine household activity using door and motion sensors distributed through the living space. The sensors aren’t associated with any particular room at the outset: their software algorithmically determines the relative positions of the sensors, then classifies the rooms that they’re in based on activity patterns over the course of the day. Read more…
The United States National Institutes of Health (NIH) wants to tie development of mobile health apps to evidence-based research, and it hopes to do that with a new grant program. The imperative to align developers with research is urgent, given the strong interest in health IT, mobile health and health data. There are significant challenges for the space, from consumer concerns over privacy and mobile applications to the broader question of balancing health data innovation with patient rights.
To learn more about what’s happening with mobile health apps, health data, behavioral change and cancer research, I recently interviewed Dr. Abdul Sheikh. Our interview, lightly edited for content and clarity, follows.
What led you to your current work at NIH?
Dr. Abdul Sheikh: I’ve always had a strong grounding in public health and population health, but I also have a real passion for technology and informatics. What’s beautiful is, in my current position here as a program director at the National Cancer Institute (NCI), I have a chance to meld these worlds of public health, behavior and communication science with my passion for technology and informatics. Some of the work I did before coming to the NIH was related to the early telemedicine and web-based health promotion efforts that the government of Canada was involved in.
At NCI, I direct a portfolio of research on technology-mediated communication. I’ve also had the chance to get involved and provide leadership on two very cool efforts. One of them is leadership for our division’s Small Business Innovation Research Program (SBIR). I’ve led the first NIH developer challenge competitions as well.
Dyson says it's time to focus on maintaining good health, as opposed to healthcare.
If we look ahead to the next decade, it’s worth wondering whether the way we think about health and health care will have shifted. Will health care technology be a panacea? Will it drive even higher costs, creating a broader divide between digital haves and have-nots? Will opening health data empower patients or empower companies?
As ever, there will be good outcomes and bad outcomes, and not just in the medical sense. There’s a great deal of thought around the potential for mobile applications right now, from the FDA’s potential decision to regulate them to a reported high abandonment rate. There are also significant questions about privacy, patient empowerment and meaningful use of electronic health care records.
When I’ve talked to US CTO Todd Park or Dr. Farzad Mostashari they’ve been excited about the prospect for health data to fuel better dashboards and algorithms to give frontline caregivers access to critical information about people they’re looking after, providing critical insight at the point of contact.
Kathleen Sebelius, the U.S. Secretary for Health and Human Services, said at this year’s Health Datapalooza that venture capital investment in the health care IT area is up 60% since 2009.
Dr. Audie Atienza focuses on the intersection of behavioral science, data and healthcare apps.
We're just at the beginning of discovering how to best develop and utilize mobile technology to improve the health of individuals and the public, says Dr. Audie Atienza.