ICT: Health’s Best Friend and Worst Enemy?

Egon L. van den Broek

2017

Abstract

I propose a paradigm shift for health care, as there is an urgent need for i) continuous (semi-)automatic medical checkups, ii) cost reduction, and iii) cure for the 21st century black plague (i.e., stress-related diseases) are very much needed. To realize this ICT’s Paradox has to be solved. On the one hand, ICT can cause i) musculoskeletal problems, ii) vision problems, iii) headache, iv) obesity, v) stress disorders (e.g., burn out), vi) metabolic issues, vii) addiction (e.g., to games, social media, and Internet), viii) sleeping problems, ix) social isolation, and x) an unrealistic world view. On the other hand, ICT claims to provide these problems’ solutions. Consequently, health informatics needs to adopt a holistic approach, improve its fragile theoretical frameworks, and handle the incredible variance we all show. As a remedy, I propose to take up the challenge to next-generation models of personality, as they are a crucial determinant in people’s stress coping style.

References

  1. A°borg, C. and Billing, A. (2003). Health effects of 'the paperless office' - evaluations of the introduction of electronic document handling systems. Behaviour & Information Technology, 22(6):389-396.
  2. Adams, R. A., Huys, Q. J. M., and Roiser, J. P. (2016). Computational psychiatry: towards a mathematically informed understanding of mental illness. Journal of Neurology, Neurosurgery & Psychiatry, 87(1):53-63.
  3. Bartol, T. (2016). Recreating healthcare: The next generation. The Nurse Practitioner, 41(11):10-11.
  4. Beun, R. J. (2013). Persuasive strategies in mobile insomnia therapy: alignment, adaptation, and motivational support. Personal and Ubiquitous Computing, 17(6):1187-1195.
  5. Blobel, B., Lopez, D. M., and Gonzalez, C. (2016). Patient privacy and security concerns on big data for personalized medicine. Health and Technology, 6(1):75-81.
  6. Cacioppo, J. T. and Hawkley, L. C. (2003). Social isolation and health, with an emphasis on underlying mechanisms. Perspectives in Biology and Medicine, 46(3 Supplement):S39-S52.
  7. Carver, C. S. and Connor-Smith, J. (2010). Personality and coping. Annual Review of Psychology, 61:679-704.
  8. Chen, Y.-R. R. and Schulz, P. J. (2016). The effect of information communication technology interventions on reducing social isolation in the elderly: A systematic review. Journal of Medical Internet Research, 18(1):e18.
  9. de Jong, E., Visscher, T. L. S., HiraSing, R. A., Heymans, M. W., Seidell, J. C., and Renders, C. M. (2013). Association between TV viewing, computer use and overweight, determinants and competing activities of screen time in 4- to 13-year-old children. International Journal of Obesity, 37(1):47-53.
  10. Dietz, W. H., Douglas, C. E., and Brownson, R. C. (2016). Chronic disease prevention: Tobacco avoidance, physical activity, and nutrition for a healthy start. Journal of the American Medical Association (JAMA), 316(16):1645-1646.
  11. Donnelly, E. and Kuss, D. J. (2016). Depression among users of social networking sites (SNSs): The role of SNS addiction and increased usage. Journal of Addiction and Preventive Medicine, 1(2):#107.
  12. Fang, R., Pouyanfar, S., Yang, Y., Chen, S.-C., and Iyengar, S. S. (2016). Computational health informatics in the big data age: A survey. ACM Computing Surveys (CSUR), 49(1):Article No. 12.
  13. Ferlie, E., Montgomery, K., and Pedersen, A. R. (2016). The Oxford Handbook of health care management. Oxford, UK: Oxford University Press, 1st edition.
  14. Fine, G. A. and Elsbach, K. D. (2000). Ethnography and experiment in social psychological theory building: Tactics for integrating qualitative field data with quantitative lab data. Journal of Experimental Social Psychology, 36(1):51-76.
  15. Follmer, E. (2016). What we do to fit in: personality, coping, and Person-Environment fit . PhD thesis, Graduate College, The University of Iowa, Iowa City, IA, USA.
  16. Georga, E. I., Protopappas, V. C., Bellos, C. V., and Fotiadis, D. I. (2014). Wearable systems and mobile applications for diabetes disease management. Health and Technology, 4(2):101-112.
  17. Gowrisankaran, S. and Sheedy, J. E. (2015). Computer Vision Syndrome: A review. Work, 52(2):303-314.
  18. Huys, Q. J. M., Maia, T. V., and Frank, M. J. (2016). Computational psychiatry as a bridge from neuroscience to clinical applications. Nature Neuroscience, 19(3):404-413.
  19. Jarvis, C. (2016). Physical examination and health assessment. St. Louis, MO, USA: Elsevier, Inc., 7th edition.
  20. Kalisch, R., Müller, M. B., and Tüscher, O. (2015). A conceptual framework for the neurobiological study of resilience. Behavioral and Brain Sciences, 38:e92.
  21. Kaplan, J. (2017). Artificial Intelligence: Think again. Communications of the ACM, 60(1):36-38.
  22. Kreuter, M., Farrell, D., Olevitch, L., and Brennan, L. (2000/2012). Tailoring health messages: Customizing communication with computer technology. LEA's Communication Series. Mahwah, NJ, USA: Routledge, Taylor & Francis Group / Lawrence Erlbaum Associates, Inc., reprint edition.
  23. Kulikowski, C. A., Shortliffe, E. H., Currie, L. M., Elkin, P. L., Hunter, L. E., Johnson, T. R., Kalet, I. J., Lenert, L. A., Musen, M. A., Ozbolt, J. G., Smith, J. W., Tarczy-Hornoch, P. Z., and Williamson, J. J. (2012). AMIA Board white paper: definition of biomedical informatics and specification of core competencies for graduate education in the discipline. Journal of the American Medical Informatics Association, 19(6):931-938.
  24. Kun, L. (2016). Introductory remarks to the special issue on social implications of technology, in honor of the late dr. Lodewijk Bos. Health and Technology, 6(1):1-4.
  25. Liu, D. and Baumeister, R. F. (2016). Social networking online and personality of self-worth: A meta-analysis. Journal of Research in Personality, 64:79-89.
  26. Lundberg, U. and Cooper, C. L. (2011). The science of occupational health: Stress, psychobiology, and the new world of work. Chichester, West Sussex, UK: Wiley-Blackwell / John Wiley & Sons Ltd.
  27. Mandl, K. D. and Kohane, I. S. (2016). Time for a patientdriven health information economy? The New England Journal of Medicine, 374(3):205-208.
  28. McCusker, K. and Gunaydin, S. (2015). Research using qualitative, quantitative or mixed methods and choice based on the research. Perfusion, 30(7):537-542.
  29. Minen, M. T., Torous, J., Raynowska, J., Piazza, A., Grudzen, C., Powers, S., Lipton, R., and Sevick, M. A. (2016). Electronic behavioral interventions for headache: A systematic review. The Journal of Headache and Pain, 17(1):Article 51.
  30. Nelson, R. and Staggers, N. (2018). Health informatics: An interprofessional approach. St. Louis, MO, USA: Elsevier, Inc., 2nd edition.
  31. Newby, ABC Catalyst, J. (06/09/2007). Workplace stress: Stopping the juggernaut. URL: http://www.abc.net.au/catalyst/stories/s2025212.htm [Last accessed on January 5, 2017].
  32. Nuutinen, T., Roos, E., Ray, C., Villberg, J., Välimaa, R., Rasmussen, M., Holstein, B., Godeau, E., Beck, F., Léger, D., and Tynjälä, J. (2014). Computer use, sleep duration and health symptoms: A crosssectional study of 15-year olds in three countries. International Journal of Public Health, 59(4):619-628.
  33. Palacios, C. and Gonzalez, L. (2014). Is vitamin D deficiency a major global public health problem? The Journal of Steroid Biochemistry and Molecular Biology, 144(Part A):138-145.
  34. Pervin, L. A. (2003). The Science of Personality. New York, NY, USA: Oxford University Press, Inc., 2nd edition.
  35. Poon, C. C. Y., Wang, M. D., and Bonato, P. (2013). Editorial: Special issue on health informatics and personalized medicine. IEEE Transactions on Biomedical Engineering, 60(1):143-146.
  36. Salibello, C. and Nilsen, E. (1995). Is there a typical VDT patient? a demographic analysis. Journal of the American Optometric Association, 66(8):479-483.
  37. Schmiege, S. J., Gance-Cleveland, B., Gilbert, L., Aldrich, H., Gilbert, K. C., and Barton, A. (2016). Identifying patterns of obesity risk behavior to improve pediatric primary care. Journal of Specialists in Pediatric Nursing, 21(1):18-28.
  38. Schmitz, U. and Wolkenhauer, O. (2016). Systems Medicine, volume 1386 of Methods in Molecular Biology / Springer Protocols. New York, NY, USA: Humana Press / Springer Science+Business Media.
  39. Stigliani, J. (1995). The computer user's survival guide: Staying healthy in a high tech world. Sebastopol, CA, USA: O'Reilly Associates, Inc.
  40. Stylianou, A. and Talias, M. A. (2017). Big data in healthcare: A discussion on the big challenges. Health and Technology, 7:[in press].
  41. Suomi, R. (1996). One size fits all - or does it? Behaviour & Information Technology, 15(5):301-312.
  42. van den Broek, E. L. (2010). Beyond biometrics. Procedia Computer Science, 1(1):2505-2513.
  43. van den Broek, E. L. (2011). Affective Signal Processing (ASP): Unraveling the mystery of emotions. PhD thesis, Human Media Interaction (HMI), Faculty of Electrical Engineering, Mathematics, and Computer Science, University of Twente, Enschede, The Netherlands.
  44. van den Broek, E. L. (2012). Affective computing: A reverence for a century of research, volume 7403 of Lecture Notes in Computer Science, pages 434-448. Berlin/Heidelberg, Germany: Springer-Verlag.
  45. van den Broek, E. L., Janssen, J. H., Healey, J. A., and van der Zwaag, M. D. (2010a). Prerequisites for Affective Signal Processing (ASP) - Part II. In Fred, A., Filipe, J., and Gamboa, H., editors, Biosignals 2010: Proceedings of the International Conference on BioInspired Systems and Signal Processing, pages 188- 193, Valencia - Spain.
  46. van den Broek, E. L., Janssen, J. H., van der Zwaag, M. D., and Healey, J. A. (2010b). Prerequisites for Affective Signal Processing (ASP) - Part III. In Fred, A., Filipe, J., and Gamboa, H., editors, Biosignals 2010: Proceedings of the International Conference on BioInspired Systems and Signal Processing, pages 432- 435, Valencia - Spain.
  47. van den Broek, E. L., Janssen, J. H., van der Zwaag, M. D., Westerink, J. H. D. M., and Healey, J. A. (2011). Prerequisites for Affective Signal Processing (ASP) - Part V: A response to comments and suggestions. In Proceedings of the International Conference on BioInspired Systems and Signal Processing, pages 301- 306, Rome, Italy.
  48. van den Broek, E. L., Janssen, J. H., Westerink, J. H. D. M., and Healey, J. A. (2009). Prerequisites for Affective Signal Processing (ASP). In Encarnac¸a˜o, P. and Veloso, A., editors, Biosignals 2009: Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, pages 426-433, Porto - Portugal.
  49. van den Broek, E. L., van der Zwaag, M. D., Healey, J. A., Janssen, J. H., and Westerink, J. H. D. M. (2010c). Prerequisites for Affective Signal Processing (ASP) - Part IV. In Kim, J. and Karjalainen, P., editors, Proceedings of the 1st International Workshop on Bioinspired Human-Machine Interfaces and Healthcare Applications - B-Interface , pages 59-66, Valencia - Spain.
  50. Vinciarelli, A. and Mohammadi, G. (2014). A survey of personality computing. IEEE Transactions on Affective Computing, 5(3):273-291.
  51. Wang, S.-C., Jiang, C., and Chern, J.-Y. (2014). Promoting healthy computer use: Timing-informed computer health animations for prolonged sitting computer users. Behaviour & Information Technology, 33(3):295-301.
  52. Wood, M. A., Bukowski, W. M., and Lis, E. (2016). The digital self: How social media serves as a setting that shapes youths emotional experiences. Adolescent Research Review, 1(2):163-173.
  53. Wuyts, K., G, V., Scandariato, R., Joosen, W., and Dumortier, J. (2012). What electronic health records dont know just yet. a privacy analysis for patient communities and health records interaction. Health and Technology, 2(3):159-183.
  54. Zhou, Y., Li, D., Li, X., Wang, Y., and Zhao, L. (2017). Big five personality and adolescent internet addiction: The mediating role of coping style. Addictive Behaviors, 64:42-48.
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Paper Citation


in Harvard Style

van den Broek E. (2017). ICT: Health’s Best Friend and Worst Enemy? . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: ACP, (BIOSTEC 2017) ISBN 978-989-758-213-4, pages 611-616. DOI: 10.5220/0006345506110616


in Bibtex Style

@conference{acp17,
author={Egon L. van den Broek},
title={ICT: Health’s Best Friend and Worst Enemy?},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: ACP, (BIOSTEC 2017)},
year={2017},
pages={611-616},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006345506110616},
isbn={978-989-758-213-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: ACP, (BIOSTEC 2017)
TI - ICT: Health’s Best Friend and Worst Enemy?
SN - 978-989-758-213-4
AU - van den Broek E.
PY - 2017
SP - 611
EP - 616
DO - 10.5220/0006345506110616