How will the Internet of Things enable Augmented Personalized Health?

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📝 Original Info

  • Title: How will the Internet of Things enable Augmented Personalized Health?
  • ArXiv ID: 1801.00356
  • Date: 2018-01-03
  • Authors: Researchers from original ArXiv paper

📝 Abstract

Internet-of-Things (IoT) is profoundly redefining the way we create, consume, and share information. Health aficionados and citizens are increasingly using IoT technologies to track their sleep, food intake, activity, vital body signals, and other physiological observations. This is complemented by IoT systems that continuously collect health-related data from the environment and inside the living quarters. Together, these have created an opportunity for a new generation of healthcare solutions. However, interpreting data to understand an individual's health is challenging. It is usually necessary to look at that individual's clinical record and behavioral information, as well as social and environmental information affecting that individual. Interpreting how well a patient is doing also requires looking at his adherence to respective health objectives, application of relevant clinical knowledge and the desired outcomes. We resort to the vision of Augmented Personalized Healthcare (APH) to exploit the extensive variety of relevant data and medical knowledge using Artificial Intelligence (AI) techniques to extend and enhance human health to presents various stages of augmented health management strategies: self-monitoring, self-appraisal, self-management, intervention, and disease progress tracking and prediction. kHealth technology, a specific incarnation of APH, and its application to Asthma and other diseases are used to provide illustrations and discuss alternatives for technology-assisted health management. Several prominent efforts involving IoT and patient-generated health data (PGHD) with respect converting multimodal data into actionable information (big data to smart data) are also identified. Roles of three components in an evidence-based semantic perception approach- Contextualization, Abstraction, and Personalization are discussed.

💡 Deep Analysis

Deep Dive into How will the Internet of Things enable Augmented Personalized Health?.

Internet-of-Things (IoT) is profoundly redefining the way we create, consume, and share information. Health aficionados and citizens are increasingly using IoT technologies to track their sleep, food intake, activity, vital body signals, and other physiological observations. This is complemented by IoT systems that continuously collect health-related data from the environment and inside the living quarters. Together, these have created an opportunity for a new generation of healthcare solutions. However, interpreting data to understand an individual’s health is challenging. It is usually necessary to look at that individual’s clinical record and behavioral information, as well as social and environmental information affecting that individual. Interpreting how well a patient is doing also requires looking at his adherence to respective health objectives, application of relevant clinical knowledge and the desired outcomes. We resort to the vision of Augmented Personalized Healthcare (A

📄 Full Content

How  Will  the  Internet  of  Things  Enable  Augmented  Personalized  Health?     Amit  Sheth,  Utkarshani  Jaimini,  Hong  Yung  Yip   Kno.e.sis  Center  -­‐  Wright  State  University    Introduction       Internet-­‐of-­‐Things   (IoT)   refers   to   network-­‐enabled   technologies   including   mobile   and   wearable   devices,  sensing  and  actuation  devices  that  interact  with  each  other  and  communicate  over  the  internet.  IoT  is   profoundly  redefining  the  way  we  create,  consume,  and  share  information.  Health  aficionados  and  citizens  are   increasingly   using   IoT   technologies   to   track   their   sleep,   food   intake,   activity,   body   vital   signals,   and   other   physiological   observations.   This   is   complemented   by   IoT   systems   that   continuously   collect   data   from   the   environment  and  inside  the  living  quarters  that  can  affect  a  human  health.  Together,  these  have  created  an   opportunity  for  a  new  generation  of  healthcare  solutions.       The  paradigm  shift  of  reactive  medicine  to  proactive  and  preventive  medicine  is  primarily  motivated  by   economic  imperatives  such  as  the  rising  cost  of  healthcare,  as  well  as  continued  improvements  to  the  quality   of  life  and  longevity.  According  to  the  Center  for  Medicare  and  Medicaid  Services  (CMS),  the  cost  of  medical   care  in  the  US  in  2016  reached  up  to  3.6  trillion  dollars  per  year  and  is  expected  to  increase  up  to  $5.5  trillion   by  2025  [http://bit.ly/2ATjX3l].  On  the  other  hand,  the  global  smart  healthcare  industry  is  expected  to  reach   $169.30  billion  by  2020.  It  is  projected  that  by  2019,  87%  of  the  healthcare  organizations  in  the  US  will  have   adopted  IoT  technology  [http://bit.ly/2eP8wQo],  of  which  73%  will  be  used  to  reduce  cost,  and  64%  will  be   put  to  monitor  patients.       IoT  data  itself  is  not  adequate  to  understand  an  individual’s  health,  and  associated  aspects  of  wellbeing   and  fitness;  it  is  usually  necessary  to  look  at  that  individual's  clinical  record  and  behavioral  information,  as  well   as  social  and  environmental  information  affecting  that  individual.    Interpreting  how  well  a  patient  is  doing  also   requires  looking  at  his  adherence  to  respective  health  objectives,  application  of  relevant  clinical  knowledge   and   the   desired   outcomes,   such   as   the   patient’s   preference   for   quality   of   life   versus   longevity   and   expert   knowledge.       Augmented  Personalized  Healthcare  (APH)  is  a  vision  [2,  http://bit.ly/k-­‐APH]  to  exploit  the  extensive   variety   of   relevant   data   and   medical   knowledge   using   Artificial   Intelligence   (AI)   techniques   to   extend   and   enhance  human  health  and  well-­‐being.  It  anticipates  the  use  of  physical,  cyber,  and  social  data  obtained  from   wearables   and   IoT   devices,   clinical   information   including   Electronic   Medical   Records   (EMRs),   mobile   applications   that   support   targeted   interactions   and   engagement   with   the   patients,   web-­‐based   information   including   web   services   (e.g.   those   providing   health   relevant   data   such   as   air   quality   and   allergens),   social   media  (e.g.  post  by  patients  with  similar  concerns  and  conditions),  and  extensive  knowledge  of  clinical  practice   and  medicine.  The  data  consists  of  a  set  of  signals  collected  at  personal,  public,  and  population  level  as  well  as   A version of this article will appear in IEEE Intelligent Systems. Cite as: A. Sheth, U. Jaimini, H. Yip, "How will the Internet of Things enable Augmented Personalized Health?" IEEE Intelligent Systems, 33 (1), Jan-Feb 2018. knowledge   that   affects   human   health.   Augmentation   refers   to   aggregating   this   data   and

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