Difference between revisions of "KHealth: Semantic Multisensory Mobile Approach to Personalized Asthma Care"
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| − | ==Motivation== | + | ==Motivation and Background== |
| − | More than 25 million people in the U.S. are diagnosed with asthma, out of which 7 million are children [1]. Asthma related healthcare costs alone are around $50 billion a year [2]. Current reactive healthcare costs more than 17% of GDP in the US [3, 4]. It is estimated that, by 2025, over 400 million people will be affected by asthma worldwide. With increasing adoption of mobile devices and low-cost sensors, unprecedented amount of data is being collected by people [5]. | + | More than 25 million people in the U.S. are diagnosed with asthma, out of which 7 million are children [1]. Asthma related healthcare costs alone are around $50 billion a year [2]. Current reactive healthcare costs more than 17% of GDP in the US [3, 4]. It is estimated that, by 2025, over 400 million people will be affected by asthma worldwide. With increasing adoption of mobile devices and low-cost sensors, unprecedented amount of data is being collected by people [5]. This data collection has exacerbated the problem of understanding the data and make sense of it. In this work, we explore the role of knowledge empowered algorithms in making sense of this data deluge in the context of Asthma assessment and management. |
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==Approach== | ==Approach== | ||
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===Sensors=== | ===Sensors=== | ||
| + | Physiological: Wheezometer [57], Nitric Oxide [60], Accelerometer, Microphone, Contextual Questions <br/> | ||
| + | Environmental: Sensordrone [20], Dust Sensor [59], Location<br/> | ||
| + | <br/><br/> | ||
| + | CDC [83], DCHC’s EMR Records (periodic manual review)<br/> | ||
| + | <br/><br/> | ||
| + | Everyaware [27], AirQuality Egg [58], Allergy Alerts [61,62], Social Observations (e.g., tweets), Air Quality Index[87]<br/> | ||
==References== | ==References== | ||
Revision as of 22:52, 15 July 2013
Motivation and Background
More than 25 million people in the U.S. are diagnosed with asthma, out of which 7 million are children [1]. Asthma related healthcare costs alone are around $50 billion a year [2]. Current reactive healthcare costs more than 17% of GDP in the US [3, 4]. It is estimated that, by 2025, over 400 million people will be affected by asthma worldwide. With increasing adoption of mobile devices and low-cost sensors, unprecedented amount of data is being collected by people [5]. This data collection has exacerbated the problem of understanding the data and make sense of it. In this work, we explore the role of knowledge empowered algorithms in making sense of this data deluge in the context of Asthma assessment and management.
Approach
We tackle this important problem by a combination of active and passive sensing. Active sensing involves the patient in the loop (obtrusive) while the passive sensing does not involve patient involvement (unobtrusive). Using a novel approach of using low-cost sensors for continuous monitoring (active and passive sensing), we propose to develop algorithms that can understand the situation of a patient. Situation refers to the asthma control level based on symptoms and their severity.
Sensors
Physiological: Wheezometer [57], Nitric Oxide [60], Accelerometer, Microphone, Contextual Questions
Environmental: Sensordrone [20], Dust Sensor [59], Location
CDC [83], DCHC’s EMR Records (periodic manual review)
Everyaware [27], AirQuality Egg [58], Allergy Alerts [61,62], Social Observations (e.g., tweets), Air Quality Index[87]
References
[1] NHLBI description of Asthma, Available online at: http://www.nhlbi.nih.gov/health/health-topics/topics/asthma/
[2] Asthma related facts, Available online at: http://www.lung.org/lung-disease/asthma/resources/facts-and-figures/asthma-in-adults.html
[3] Squires, D. A., The U.S. Health System in Perspective: A Comparison of Twelve Industrialized Nations, June 2011, Available online at: http://bit.ly/oZwhFZ
[4] Health Costs: How the U.S. Compares With Other Countries, Available online at: http://www.pbs.org/newshour/rundown/2012/10/health-costs-how-the-us-compares-with-other-countries.html
[5] Quantified Self http://quantifiedself.com/
