Social Media, Internet of Things, and the Future of Public Health

Social Media, Internet of Things, and the Future of Public Health

$995.00

Publication ID
MIC0913002
Publication Date
September 9, 2013
Pages
90
Regions Covered
Publisher
Public health is "the science and art of preventing disease, prolonging life and promoting health through the organized efforts and informed choices of society, organizations, public and private, communities and individuals." It is concerned with threats to health based on population health analysis. This definition highlights the role played by members of the community in improving health and in defining what is socially and publicly acceptable.
 
There are three main features of public health that define the field and also provide a contrast to the related field of medicine. Public health and medicine often have the similar goals of reducing the impact of disease and improving health and quality of life, but there are some notable differences between the two in the methods of reaching these goals. The primary features of public health are a (1) a view that all people should have healthcare access, regardless of social position, (2) a focus on the health of populations rather than individuals, and (3) a focus on prevention.
 
The use of social media in public health is taking shape as Twitter and other forms of social media are leveraged to identify potential outbreaks. Public health data is rapidly increasing from all sources. Sensors, formerly found only in hospital ICUs, are now portable and be used at home, and even sometimes while walking. The potential for persistent public health monitoring may be realized through introduction of machine-to-machine (M2M) communications, embedded computing/wireless, and related technologies.
 
This report evaluates the impact of social media, Big Data and analytics, and the so called “Internet of Things (IoT)” on public healthcare. The report evaluates specific companies, solutions, and applications. The report includes analysis of Big Data and its anticipated use in public health.
 

Target Audience:

  • Healthcare service providers
  • Healthcare insurance providers
  • Healthcare technology companies
  • Social media and networking companies
  • Policy makers, regulatory bodies, and government
  • Consultants and systems integrators for healthcare technology
  • M2M, Internet of Things (IoT), and general telecommunications companies
  • Public health institutions including CDC, NIH, FDA, CMS, NRHA, WHO, and others
 

Report Benefits:

  • Identify the tenants of “Public Health 2.0”
  • Identify specific companies, solutions, and applications
  • Identify the role of Participatory Epidemiology in public health
  • Understand the confluence of Infodemiology and Infoveillance
  • Understand the role of data-mining, Big Data, and public health
  • Understand the role and importance of social media in public health
  • Understand the evolution and future direction of healthcare technology

1 EXECUTIVE SUMMARY 5

2 INTRODUCTION 7

3 HISTORY OF PUBLIC HEALTH 9

4 PUBLIC HEALTH PRACTICE 13

4.1 The U.S. Public Health System 14
4.2 Public Health at the Federal Level 14
4.2.1 Centers for Disease Control and Prevention (CDC) 15
4.2.2 National Institutes of Health (NIH) 15
4.2.3 Food and Drug Administration (FDA) 15
4.2.4 Centers for Medicare & Medicaid Services (CMS) 16
4.3 Public Health at the State and Local Levels 16

5 PUBLIC HEALTH DATA 17

5.1 Surveillance 18
5.2 Secondary Data 19
5.2.1 The Census 19
5.2.2 Vital Statistics 20
5.2.3 Survey Data 22
5.2.4 Registries 24
5.2.5 Reporting Systems 24
5.2.6 Medicare and Medicaid 26
5.3 Studies 26
5.3.1 Observational Studies 28
5.3.2 Experimental Studies 30
5.3.3 Screening 32
5.4 Epidemiology 34
5.4.1 Basic Epidemiological Measures 35

6 DATAMINING SOCIAL MEDIA, THE INTERNET OF THINGS AND BIG DATA 38

6.1 Data Mining 38
6.1.1 Preprocessing 39
6.1.2 Data Mining and Analysis 40
6.1.3 Text Mining 41
6.2 The Internet of Things 42
6.3 Big Data 44

7 SOCIAL MEDIA, DATAMINING, AND BIG DATA IN PUBLIC HEALTH 47

7.1 Public Health 2.0 48
7.2 Twitter 49
7.2.1 Influenza and Food Poisoning in New York 50
7.2.2 Post-Partum Depression 52
7.2.3 H1N1 in Germany 53
7.2.4 Seasonal Allergies 54
7.3 Mining the Web 55
7.3.1 Datamining News Stories to Predict Cholera Outbreaks 55
7.3.2 Data Mining Downloaded Recipes to Study Dietary Habits 56
7.3.3 Datamining Online Web Searchs to Predict Influenza Outbreaks 57
7.3.4 Online Physician Ratings 58
7.4 Participatory Epidemiology 58
7.4.1 FrontlineSMS 59
7.4.2 Ushahidi 59
7.4.3 GeoChat 59
7.4.4 Asthmapolis 60
7.4.5 The GPHIN Project 60
7.4.6 The HealthMap Project 62
7.4.7 Outbreaks Near Me 63
7.4.8 Biocaster 64
7.4.9 Sickweather 64
7.4.10 The EpiSPIDER Project 65
7.5 Reality Mining 66
7.6 Infodemiology and Infosurveillance 67
7.6.1 Google Flu Trends 69
7.6.2 Google Dengue Trend 69
7.6.3 Flu Detector 70
7.6.4 Mood of the Nation 70
7.7 Big Data and Public Health 71
7.7.1 Kaiser Permanente HealthConnect 72
7.7.2 Blue Shield of California and NantHealth 73
7.7.3 AstraZeneca and HealthCore 73

8 THE INTERNET OF THINGS AND THE MOVE TO INDIVIDUALS IN PUBLIC HEALTH 75

8.1 Population vs. Individual Thinking 75
8.2 Internet of Things 77
8.2.1 Diabetes 78
8.2.2 ECG and Heart Monitoring 80
8.2.3 Vital Signs 81
8.2.4 Asthma 83
8.2.5 Medical Compliance 84
8.2.6 Smartphone Lab 85

9 CONCLUSIONS AND RECOMMENDATIONS 87

  1. Abbott Laboratories
  2. Adidas miCoach
  3. Airstrip Technologies
  4. Al Bawaba
  5. AliveCor
  6. Asthmapolis
  7. AstraZeneca
  8. BioCaster Global Health Monitor
  9. Blue Shield of California
  10. CardioNet
  11. Centers for Disease Control and Prevention (CDC)
  12. Centers for Medicare & Medicaid Services (CMS)
  13. Central Intelligence Agency
  14. DexCom
  15. EpiSPIDER
  16. Facebook Inc.
  17. Factiva
  18. Flu Detector
  19. Food and Drug Administration (FDA)
  20. FrontlineSMS
  21. GeoChat
  22. Geonames
  23. Global Public Health Intelligence Network (GPHIN)
  24. Google Dengue Trend
  25. Google Flu Trends
  26. Google Maps
  27. HealthConnect
  28. HealthCore
  29. HealthMap
  30. IMS Health
  31. iRhythm
  32. Kaiser Permanente
  33. Life Watch
  34. Medtronic Inc.
  35. Microsoft Research
  36. Mood of the Nation
  37. NantHealth
  38. National Cancer Institute (NCI)
  39. National Institutes of Health (NIH)
  40. Nike+
  41. Philips Electronics iPill
  42. Proteus Digital Health
  43. Prudential Insurance Company of America
  44. Sickweather
  45. Skin Scan
  46. Sotera Wireless
  47. Twitter Inc.
  48. U.S. Department of Health and Human Services
  49. UK Health Protection Agency
  50. United Nations
  51. United States Public Health Service (PHS)
  52. U.S. Department of Agriculture
  53. U.S. Department of Homeland Security
  54. U.S. Director for National Intelligence
  55. Ushahidi
  56. Vitality
  57. Withings
  58. World Health Organization (WHO)
  59. Yahoo Maps
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