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Current Psychiatry Reports

, 21:88 | Cite as

The Future of Digital Psychiatry

  • Keith HarimanEmail author
  • Antonio Ventriglio
  • Dinesh Bhugra
Psychiatry in the Digital Age (J Shore, Section Editor)
Part of the following topical collections:
  1. Topical Collection on Psychiatry in the Digital Age

Abstract

Purpose of Review

Treatments in psychiatry have been rapidly changing over the last century, following the development of psychopharmacology and new research achievements. However, with advances in technology, the practice of psychiatry in the future will likely be influenced by new trends based on computerized approaches and digital communication. We examined four major areas that will probably impact on the clinical practice in the next few years: telepsychiatry; social media; mobile applications and internet of things; artificial intelligence; and machine learning.

Recent Findings

Developments in these four areas will benefit patients throughout the journey of the illness, encompassing early diagnosis, even before the patients present to a clinician; personalized treatment on demand at anytime and anywhere; better prediction on patient outcomes; and even how mental illnesses are diagnosed in the future.

Summary

Though the evidence for many technology-based interventions or mobile applications is still insufficient, it is likely that such advances in technology will play a larger role in the way that patient receives mental health interventions in the future, leading to easier access to them and improved outcomes.

Keywords

Mental health Digital psychiatry Telepsychiatry Social media Mobile applications Artificial intelligence 

Notes

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. 1.
    • Drago A, Winding TN, Antypa N. Videoconferencing in psychiatry, a meta-analysis of assessment and treatment. Eur Psychiatry. 2016;36:29–37.  https://doi.org/10.1016/j.eurpsy.2016.03.007. This article reviews the use of videoconferencing in psychiatry.CrossRefGoogle Scholar
  2. 2.
    Ventriglio A, Torales J, Castaldelli-Maia J. Telepsychiatry and social psychiatry. Int J Soc Psychiatry [Internet]. SAGE PublicationsSage UK: London, England; 2017 [cited 2019 May 29];63:387–8. Available from: http://journals.sagepub.com/doi/10.1177/0020764017694661
  3. 3.
    Hubley S, Lynch SB, Schneck C, Thomas M, Shore J. Review of key telepsychiatry outcomes. World J Psychiatry. 2016;6:269–82 Available from: http://www.wjgnet.com/2220-3206/full/v6/i2/269.htm.CrossRefGoogle Scholar
  4. 4.
    Mucic D. Transcultural telepsychiatry and its impact on patient satisfaction. J Telemed Telecare. 2010;16:237–42 Available from: http://journals.sagepub.com/doi/10.1258/jtt.2009.090811.CrossRefGoogle Scholar
  5. 5.
    Cheng KM, Siu BWM, Yeung CCYA, Chiang TP, So MH, Yeung MCW. Telepsychiatry for stable Chinese psychiatric out-patients in custody in Hong Kong: A case-control pilot study. Hong Kong Med J. 2018;24:378–83.Google Scholar
  6. 6.
    Butler TN, Yellowlees P. Cost analysis of store-and-forward telepsychiatry as a consultation model for primary care. Telemed e-Health [Internet]. 2012 [cited 2019 Feb 11];18:74–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22085113.CrossRefGoogle Scholar
  7. 7.
    Malhotra S, Chakrabarti S, Shah R, Gupta A, Mehta A, Nithya B, et al. Development of a novel diagnostic system for a telepsychiatric application: a pilot validation study. BMC Res Notes. 2014;7:508–18.Google Scholar
  8. 8.
    Yeung A, Martinson MA, Baer L, Chen J, Clain A, Williams A, et al. The effectiveness of telepsychiatry-based culturally sensitive collaborative treatment for depressed Chinese American immigrants: a randomized controlled trial. J Clin Psychiatry. 2016;77:e996–1002.CrossRefGoogle Scholar
  9. 9.
    Yang Y. Ping An Good Doctor blazes trail in developing unstaffed, AI-assisted clinics in China. South China Morning Post [Internet]. 2018 Nov 19 [cited 2019 Apr 11]; Available from: https://www.scmp.com/tech/enterprises/article/2173657/ping-good-doctor-blazes-trail-developing-unstaffed-ai-assisted.
  10. 10.
    Woods HC, Scott H. #Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J Adolesc [Internet]. Academic Press; 2016 [cited 2019 May 29];51:41–9. Available from: https://www.sciencedirect.com/science/article/pii/S0140197116300343.
  11. 11.
    Kelly Y, Zilanawala A, Booker C, Sacker A. Social media use and adolescent mental health: findings from the UK Millennium Cohort Study. EClinicalMedicine. 2018;6:59–68. Elsevier Ltd; Available from.  https://doi.org/10.1016/j.eclinm.2018.12.005.CrossRefPubMedGoogle Scholar
  12. 12.
    Reece AG, Danforth CM. Instagram photos reveal predictive markers of depression. EPJ Data Sci. 2017;6:1–12. [Internet]. The Author(s). Available from.  https://doi.org/10.1140/epjds/s13688-017-0110-z.CrossRefGoogle Scholar
  13. 13.
    De Choudhury M, Gamon M, Counts S, Horvitz E. (2013, June) Predicting depression via social media. Proc Seventh Int AAAI Conf Weblogs Soc Media. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM13/paper/viewFile/6124/6351
  14. 14.
    •• Gomes de Andrade NN, Pawson D, Muriello D, Donahue L, Guadagno J. Ethics and Artificial intelligence: suicide prevention on Facebook. Philos Technol. 2018;31:669–84. Written by the people who actually work at Facebook to develop the suicide prediction algorithm, this article introduces the applications of machine learning and dedicates a large portion of the publication to talk about the relevant ethical issues. Google Scholar
  15. 15.
    Statista. Number of social media users worldwide 2010-2021 [Internet]. 2019 [cited 2019 Apr 7]. Available from: https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/.
  16. 16.
    Frankish K, Ryan C, Harris A. (2012). Psychiatry and online social media: potential, pitfalls and ethical guidelines for psychiatrists and trainees. Australasian Psychiatry, 20(3), 181–187.CrossRefGoogle Scholar
  17. 17.
    Cox-George C. The changing face(book) of psychiatry: can we justify ‘following’ patients’ social media activity? BJPsych Bull. 2015;39:283–4.CrossRefGoogle Scholar
  18. 18.
    Appelbaum PS, Kopelman A. Social media’s challenges for psychiatry. World Psychiatry. 2014;13:21–3.CrossRefGoogle Scholar
  19. 19.
  20. 20.
    Ginger.io. About Us [Internet]. 2019 [cited 2019 Apr 4]. Available from: https://www.ginger.io/about-us.
  21. 21.
    Gustafson DH, McTavish FM, Chih M-Y, Atwood AK, Johnson R A., Boyle MG, et al. A Smartphone Application to Support Recovery From Alcoholism. JAMA Psychiatry [Internet]. 2014;71:566. Available from: http://archpsyc.jamanetwork.com/article.aspx?doi=10.1001/jamapsychiatry.2013.4642.CrossRefGoogle Scholar
  22. 22.
    • Firth J, Torous J, Nicholas J, Carney R, Pratap A, Rosenbaum S, et al. The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials. World psychiatry [Internet]. World Psychiatric Association; 2017 [cited 2019 Apr 10];16:287–98. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28941113. A meta-analysis on the efficacy of smartphone applications on treating depressive symptoms.
  23. 23.
    • Firth J, Torous J, Nicholas J, Carney R, Rosenbaum S, Sarris J. Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials. J Affect Disord. 2017;218:15–22.  https://doi.org/10.1016/j.jad.2017.04.046. A meta-analysis on the efficacy of smartphone applications on treating anxiety symptoms.CrossRefGoogle Scholar
  24. 24.
    •• Chandrashekar P. Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps. mHealth [Internet]. AME Publications; 2018 [cited 2019 Apr 10];4:1–4. Available from: http://www.ncbi.nlm.nih.gov/pubmed/29682510. A short review looking at the efficacy of various mobile phone applications in improving the depressive and anxiety symptoms.
  25. 25.
    L Lui JH, Marcus DK, Barry CT, Lui C. Evidence-based apps? A review of mental health mobile applications in a psychotherapy context. Prof Psychol Res Pract. 2017;48:199–210.  https://doi.org/10.1037/pro0000122.CrossRefGoogle Scholar
  26. 26.
    Place S. Honoring our Veterans: Leveraging Mobile Technology for Real Time Support [Internet]. Cogito. 2017 [cited 2019 Apr 4]. Available from: https://www.cogitocorp.com/honoring-our-veterans-leveraging-mobile-technology-for-real-time-support/.
  27. 27.
    Otsuka America Pharmceutical I. The ABILIFY MYCITE® System [Internet]. 2019 [cited 2019 Apr 10]. Available from: https://www.abilifymycite.com/.
  28. 28.
    Miotto R, Danieletto M, Scelza JR, Kidd BA, Dudley JT. Reflecting health: smart mirrors for personalized medicine. NPJ Digit Med. 2018;1:62.  https://doi.org/10.1038/s41746-018-0068-7.CrossRefPubMedPubMedCentralGoogle Scholar
  29. 29.
    de la Torre Díez I, Alonso SG, Hamrioui S, Cruz EM, Nozaleda LM, Franco MA. IoT-based services and applications for mental health in the literature. J Med Syst. 2019;43:4–9.CrossRefGoogle Scholar
  30. 30.
    Zarley BD. Meet the scientists who are training AI to diagnose mental illness [Internet]. The Verge. 2019 [cited 2019 Apr 4]. Available from: https://www.theverge.com/2019/1/28/18197253/ai-mental-illness-artificial-intelligence-science-neuroimaging-mri.
  31. 31.
    Kalmady SV, Greiner R, Agrawal R, Shivakumar V, Narayanaswamy JC, Brown MRG, et al. Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning. NPJ Schizophr. 2019;5:1–11.  https://doi.org/10.1038/s41537-018-0070-8.CrossRefGoogle Scholar
  32. 32.
    Bedi G, Carrillo F, Cecchi GA, Slezak DF, Sigman M, Mota NB, et al. Automated analysis of free speech predicts psychosis onset in high-risk youths. . NPJ Schizophr; 2015;1. doi:  https://doi.org/10.1038/npjschz.2015.30.
  33. 33.
    Marmar CR, Brown AD, Qian M, Laska E, Siegel C, Li M, et al. Speech-based markers for posttraumatic stress disorder in US veterans. Depress Anxiety. 2019;1–10: https://onlinelibrary.wiley.com/doi/abs/10.1002/da.22890.
  34. 34.
    Wall DP, Kosmicki J, Deluca TF, Harstad E, Fusaro VA. Use of machine learning to shorten observation-based screening and diagnosis of autism. Transl Psychiatry. 2012;2:e100–8.  https://doi.org/10.1038/tp.2012.10.CrossRefPubMedPubMedCentralGoogle Scholar
  35. 35.
    Lucas GM, Gratch J, King A, Morency LP. It’s only a computer: virtual humans increase willingness to disclose. Comput Hum Behav. 2014;37:94–100.  https://doi.org/10.1016/j.chb.2014.04.043.CrossRefGoogle Scholar
  36. 36.
    Brown E. Computerized “Ellie” has just enough humanity to aid in therapy worktle. Los Angeles Times [Internet]. Los Angeles; 2015 Apr 3; Available from: https://www.latimes.com/local/california/la-me-virtual-interviewer-usc-20150403-story.html.
  37. 37.
    Darcy AM, Louie AK, Roberts LW. Machine learning and the profession of medicine. JAMA. 2016;315:551–2.CrossRefGoogle Scholar
  38. 38.
    Koutsouleris N, Kambeitz-Ilankovic L, Ruhrmann S, Rosen M, Ruef A, Dwyer DB, et al. Prediction models of functional outcomes for individuals in the clinical high-risk state for psychosis or with recent-onset depression: a multimodal, multisite machine learning analysis. JAMA Psychiatry. 2018;75:1156–72.CrossRefGoogle Scholar
  39. 39.
    • Bhugra D, Tasman A, Pathare S, Priebe S, Smith S, Torous J, et al. The WPA- Lancet Psychiatry Commission on the future of psychiatry. Lancet Psychiatry. 2017;4:775–818. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2215036617303334. A brief overview on the future of digital psychiatry from another perspective.
  40. 40.
    Fitzpatrick KK, Darcy A, Vierhile M. Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR Ment Heal [Internet]. 2017 [cited 2019 Feb 11];4:e19. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28588005.CrossRefGoogle Scholar
  41. 41.
    Grisanzio KA, Goldstein-Piekarski AN, Wang MY, Ahmed APR, Samara Z, Williams LM. Transdiagnostic symptom clusters and associations with brain, behavior, and daily function in mood, anxiety, and trauma disorders. JAMA Psychiatry. 2018;75:201–9.CrossRefGoogle Scholar
  42. 42.
    Finlayson SG, Bowers JD, Ito J, Zittrain JL, Beam L, Kohane IS. Emerging vulnerabilities demand new conversations. Science. 2019;363:1287–90.CrossRefGoogle Scholar
  43. 43.
    •• Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M.,& Sundberg, P. (2018). Scalable and accurate deep learning with electronic health records. NPJ Digital Medicine, 1(1), 18. Available from:  https://doi.org/10.1038/s41746-018-0029-1
  44. 44.
    Walsh CG, Ribeiro JD, Franklin JC. Predicting risk of suicide attempts over time through machine learning. Clin Psychol Sci. 2017;5:457–69.CrossRefGoogle Scholar
  45. 45.
    Garg P, Glick S. AI’s potential to diagnose and treat mental illness [Internet]. Harv. Bus. Rev. 2018 [cited 2019 Apr 4]. Available from: https://hbr.org/2018/10/ais-potential-to-diagnose-and-treat-mental-illness.
  46. 46.
    • Maddox TM, Rumsfeld JS, Payne PRO. Questions for artificial intelligence in health care. JAMA. 2019;321:31–2. A critical review on how artificial intelligence should be applied into healthcare.CrossRefGoogle Scholar
  47. 47.
    Colleges A of MR. Artificial intelligence in healthcare management [Internet]. London; 2019. doi:  https://doi.org/10.1038/s41551-018-0305-z.CrossRefGoogle Scholar
  48. 48.
    Wartman SA, Combs CD. Reimagining medical education in the age of AI. AMA J Ethics. 2019;21:E146–52.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Keith Hariman
    • 1
    Email author
  • Antonio Ventriglio
    • 2
  • Dinesh Bhugra
    • 3
  1. 1.Castle Peak HospitalTuen MunHong Kong
  2. 2.University of FoggiaFoggiaItaly
  3. 3.Kings College LondonInstitute of PsychiatryLondonUK

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