Mobile Health: How Mobile Phones Support Health Care
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Mobile Health: How Mobile Phones Support Health Care
Mobile Health: How Mobile Phones Support Health Care
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The Quantified Self and the implications for physical therapy

The Quantified Self and the implications for physical therapy | Mobile Health: How Mobile Phones Support Health Care | Scoop.it

Currently there is an explosion of interest in personal digital devices and apps that track an individual’s health data primarily for their own consumption and interpretation.

 

Every week new products are launched that aim to measure something new or bring together a set of measures into a more useful package (e.g. Athos digital clothing that tracks muscle recruitment, heart rate etc). Around these devices is a growing community of early adopters who are testing, experimenting and sharing their experiences.

 

These self-confessed self-tracking geeks refer to this new domain as the Quantified Self

 

Some examples of the types of data being tracked by these Quantified Selfers that are of particular interest to PT include:

 

Activity levels (exercise) – devices generally the record number of steps taken but also can record elevation gained (number of stairs and floors) and even estimate a measure of calories burned. Example devices include the Fitbit, Nike Fuelband, Jawbone Up,Striiv and Withings Pulse.Body health measures – devices that track a wide variety of health measures such as heart rate, skin temperature, perspiration (e.g. the Basis watch), blood pressure (e.g. the iHealth blood pressure monitor), blood oxygen saturation (e.g. the iHealth Pulse Oximeter), heart ECG trace (e.g. Alivecor), blood sugar (e.g. iBGStar) etc.  

So why should physical therapists and physiotherapists be paying attention to this trend?

 

 

- See more at: http://www.physiospot.com/opinion/the-quantified-self-and-the-implications-for-physical-therapy-physiotherapy/


Via nrip
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Judson Harrison's curator insight, December 15, 2013 1:11 PM

Very interesting, I have not heard of this term, Quantified Self, before. Good to know, helps practices keep up with the evolving world of health care and the technology in it. 

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Nike+ Fuelband vs. FitBit Ultra vs. Striiv

Nike+ Fuelband vs. FitBit Ultra vs. Striiv | Mobile Health: How Mobile Phones Support Health Care | Scoop.it

Yesterday morning, I tooled up myself with 3 of my lovely desirable sensors.

In the afternoon, I was troubled as the 3 sensors displayed different measures for steps as for calories burned (where the delta is very important). Which sensor do you think we could believe the most ?


Via Olivier Janin
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Olivier Janin's comment, July 4, 2012 9:39 AM
TY dbtmobile, I am to publish other tests results. I think that I shouldn't wear the sensors while I 'm sitting at my desk. My colleague made a test this morning btwn FitBit and Striiv and only while walking. Steps counts are very closed. But calories burned are still very different (1328 for Fitbit, 257 for Striiv!)
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Can popular mHealth tool help post-surgical cardiac patients? | EHRintelligence.com

Can popular mHealth tool help post-surgical cardiac patients? | EHRintelligence.com | Mobile Health: How Mobile Phones Support Health Care | Scoop.it
You’re probably used to seeing FitBit wristbands around the arms of joggers and cyclists, but you might start seeing them in the recovery wards of hospitals, too.  A new study by the Mayo Clinic, published in the Annals of Thoracic Surgery, shows that the $99 mHealth tracker could be a cost-effective and useful tool to report the post-surgical physical activities of elderly cardiac patients.  The study shows that the more active patients are after their surgery, the more likely they will be discharged home instead of to an expensive rehabilitation facility or nursing home. To track their progress, researchers used the off-the-shelf product connected to a provider-viewable dashboard.  Hospitalization and surgery in older patients often leads to a loss of strength, mobility, and functional capacity. We tested the hypothesis that wireless accelerometry could be used to measure mobility during hospital recovery after cardiac surgery,” the study explains.  “Wireless monitoring of mobility after major surgery was easy and practical. There was a significant relationship between the number of steps taken in the early recovery period, length of stay, and dismissal disposition.”Of the 149 patients involved in the study, there was a clear correlation between the level of mobility after surgery and their post-discharge health.  Patients who went directly home after their recovery period took an average of 675 steps, as counted by the FitBit, while those who required more long-term follow-up care only took around 100 steps.“Although it is obvious that patients who recover mobility sooner are likely to have better outcomes, it is critical in the face of changing demographics and financial rules that we measure functional measures of recovery for individuals and populations,” the researcher said. “Functional status and variables such as mobility will impact discharge disposition, patient satisfaction, social support required, falls, hospital readmission, and ultimately health care costs.”Simple tracking tools that remotely monitor patients also may have a positive impact on the growing focus of clinical analytics, the study predicts.  “This type of technology and the data it makes available have tremendous potential. The ability to describe population norms for mobility recovery has implications for individual patients and care process improvement. Once we know the expected mobility, we can early identify pending recovery failure and triggers for interventions. Similarly, the care of populations can be impacted. If we change a plan of care, acquiring mobility data for populations of patients allows us to determine whether the population norms for recovery are altered. Such technology also increases the ease with which data are acquired.”Related White Papers:Get Connected. Be Interoperable. Start now.3 Easy Ways to Increase Your Medical Practice Revenue by 25%How to Survive the ICD-10 5010 Transition7 Best Practices for Medical Accounts Receivable ManagementPrivate: Six “Must Have” Features for Behavioral Health EHRBrowse all White Papers

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