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NIH is asking for feedback on using smartphones and wearables to collect medical information

From www.imedicalapps.com

The NIH is currently asking for pubic feedback on using smartphones and wearables to collect health and lifestyle data for its Precision Medicine Initiative — an initiative that hopes to collect data on more than 1 million individuals. The NIH’s Precision Medicine Initiative is described as:

 

a bold new enterprise to revolutionize medicine and generate the scientific evidence needed to move the concept of precision medicine into every day clinical practice

 

What exactly that means is a bit nebulous, but a New England Journal of Medicineperspective sheds some light:

 

Ultimately, we will need to evaluate the most promising approaches in much larger numbers of people over longer periods. Toward this end, we envisage assembling over time a longitudinal “cohort” of 1 million or more Americans who have volunteered to participate in research.

 

Qualified researchers from many organizations will, with appropriate protection of patient confidentiality, have access to the cohort’s data, so that the world’s brightest scientific and clinical minds can contribute insights and analysis.

 

The NIH is specifically asking the following:

 

Willingness of participants to carry their smartphone and wear wireless sensor devices sufficiently throughout the day so researchers can assess their health and activities.Willingness of participants without smartphones to upgrade to a smartphone at no expense.How often people would be willing to let researchers collect data through devices without being an inconvenience.The kind of information participants might like to receive back from researchers, and how often.Other ways to conveniently collect information from participants apart from smart phones or wearable devices.

 

It’s exciting to see the NIH see the potential of digital health. They specifically mention how smartphones and wearables can be utilized to collect a wide variety of data: location information, mobile questionnaires, heart rate, physical activity levels, and more.

 

There is already a robust discussion taking place in the comments section at the NIH website, and we encourage our readers to contribute.

Lionel Reichardt / le Pharmageek:

The NIH is specifically asking the following:

  • Willingness of participants to carry their smartphone and wear wireless sensor devices sufficiently throughout the day so researchers can assess their health and activities.
  • Willingness of participants without smartphones to upgrade to a smartphone at no expense.
  • How often people would be willing to let researchers collect data through devices without being an inconvenience.
  • The kind of information participants might like to receive back from researchers, and how often.
  • Other ways to conveniently collect information from participants apart from smart phones or wearable devices.
Richard Platt's curator insight, July 30, 2015 7:37 PM

The NIH is specifically asking the following:

  • Willingness of participants to carry their smartphone and wear wireless sensor devices sufficiently throughout the day so researchers can assess their health and activities.
  • Willingness of participants without smartphones to upgrade to a smartphone at no expense.
  • How often people would be willing to let researchers collect data through devices without being an inconvenience.
  • The kind of information participants might like to receive back from researchers, and how often.
  • Other ways to conveniently collect information from participants apart from smart phones or wearable devices.
Heather Taylor's curator insight, August 31, 2015 10:33 PM

#wearables #healthcare #wearabledevices

Health researchers see unique opportunity in self-tracker data

From mobihealthnews.com

As the number of self-tracking health and fitness tools available to consumers continues to climb, a persistent question has been whether the data they collect might be useful to health researchers. Along with that: Are people who self-track comfortable sharing their data with researchers?


A new, must-read report from San Diego’s California Institute for Telecommunications and Information Technology (Calit2), funded by the Robert Wood Johnson Foundation, explores these and other questions.


Based on a survey with hundreds of self-trackers, a majority — 57 percent — said one critical assurance they would need before agreeing to make their self-tracked, personal health data available to researchers was that their privacy would be protected. More than 90 percent also said it was important that their data remained anonymous. Respondents said they’d be more comfortable sharing data if they knew it was only going to be used for “public good” research.


One open-ended survey that the report’s researchers posed to self-trackers found that 13 percent of respondents specifically mentioned an aversion to commercial or profit-making use of their data, according to the report. One respondent wrote: “It depends who gets it. Research using these data will be instrumental in the future of personal predictive services, but also for that reason are likely to be exploited by marketers and the politically short-sighted. Thus I would like transparency for who has access to my data.”


Among the almost 100 health researchers interviewed for the report, 46 percent said that they had already used self-tracking data in their research previously. Some 23 percent reported that they had already worked with digital health companies that offer apps or devices to consumers to track their health.


Overall, the researchers interviewed for the report were “generally enthusiastic” about the prospect of using self-tracking data in the future — 89 percent agreed or strongly agreed that such data would prove useful to their research efforts. Almost all of those researchers surveyed said that kind of data could answer questions that other data could not.


more at http://mobihealthnews.com/30979/health-researchers-see-unique-opportunity-in-self-tracker-data/


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Understanding the Human Machine

From ieeexplore.ieee.org

The concepts of “self-tracking” and “the quantified self” have recently begun to emerge in discussions of how best to optimize one’s life. These concepts refer to the practice of gathering data about oneself on a regular basis and then recording and analyzing the data to produce statistics and other data (such as images) relating to one’s bodily functions and everyday habits. Some self-trackers collect data on only one or two dimensions of their lives, and only for a short time. Others may do so for hundreds of phenomena and for long periods.


The tracking and analysis of aspects of one’s self and one’s body are not new practices. People have been recording their habits and health-related metrics for centuries as part of attempts at self-reflection and self-improvement.


What is indisputably new is the term “the quantified self” and its associated movement, which includes a dedicated website with that title, and regular meetings and conferences, as well as the novel ways of self-tracking using digital technologies that have developed in recent years.


A growing range of digital devices with associated apps are now available for self-tracking [1]. Many of these devices can be worn on or close to the body to measure elements of the user’s everyday life and activities and produce data that can be recorded and monitored by the user. They include not only digital cameras, smartphones, tablet computers, watches, wireless weight scales, and blood pressure monitors, but also wearable bands or patches, clip-on devices and jewelry with embedded sensors able to measure bodily functions or movement and upload data wirelessly.


In many of these devices global positioning devices, gyroscopes, altimeters, and accelerometers provide spatial location and quantify movement. These technologies allow self-trackers to collect data on their moods, diet, dreams, social encounters, posture, sexual activity, blood chemistry, heart rate, body temperature, exercise patterns, brain function, alcohol, coffee and tobacco consumption, and many other variables.


Read more at the original source: http://ieeexplore.ieee.org/stamp/stamp.jsp?reload=true&tp=&arnumber=6679313

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