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Internet-Based Management for Depressive Disorder

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Depressive Disorders: Mechanisms, Measurement and Management

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1180))

Abstract

The advances in the Internet and related technologies may lead to changes in professional roles of psychiatrists and psychotherapists. The application of artificial intelligence (AI) and electronic measurement-based care (eMBC) in the treatment of depressive disorder has addressed more interest. AI could play a role in population health management and patient administration as well as assist physicians to make a decision in the real-world clinical practice. The eMBC strengthens MBC through web/mobile devices and telephone consulting services, to monitor disease progression, and customizes the MBC interface in electronic medical record systems (EMRs).

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Authors and Affiliations

  1. Hongkou District Mental Health Center, Shanghai, 200083, China

    Zuowei Wang

  2. Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China

    Zhiang Niu, Lu Yang & Lvchun Cui

Authors
  1. Zuowei Wang
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  2. Zhiang Niu
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  3. Lu Yang
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  4. Lvchun Cui
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Corresponding author

Correspondence to Zuowei Wang .

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Editors and Affiliations

  1. Division of Mood Disorders, Shanghai Mental Health Center, Shanghai, China

    Yiru Fang

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© 2019 Springer Nature Singapore Pte Ltd.

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Wang, Z., Niu, Z., Yang, L., Cui, L. (2019). Internet-Based Management for Depressive Disorder. In: Fang, Y. (eds) Depressive Disorders: Mechanisms, Measurement and Management. Advances in Experimental Medicine and Biology, vol 1180. Springer, Singapore. https://doi.org/10.1007/978-981-32-9271-0_14

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