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Digital mental healtha practitioner's guide /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Digital mental healthedited by Ives Cavalcante Passos, Francisco Diego Rabelo-da-Ponte, Flavio Kapczinski.
其他題名:	a practitioner's guide /
其他作者:	Rabelo-da-Ponte, Francisco Diego.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xiv, 259 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mental health servicesTechnological innovations.
電子資源:	https://doi.org/10.1007/978-3-031-10698-9
ISBN:	9783031106989$q(electronic bk.)

Digital mental healtha practitioner's guide /
Digital mental healtha practitioner's guide /[electronic resource] :edited by Ives Cavalcante Passos, Francisco Diego Rabelo-da-Ponte, Flavio Kapczinski. - Cham :Springer International Publishing :2023. - xiv, 259 p. :ill., digital ;24 cm.

1. The Dawn of Digital Psychiatry -- 2. Digital Biomarkers and Passive Digital Indicators of Generalized Anxiety Disorder -- 3. Digital phenotyping in mood disorders -- 4. Mental health assessment via Internet: the psychometrics in the digital era -- 5. Smartphone-based treatment in psychiatry - a systematic review -- 6. Digital therapies for insomnia -- 7. The efficacy of smartphone-based interventions in bipolar disorder -- 8. Chatbots in the field of mental health: challenges and opportunities -- 9. How to evaluate a mobile app and advise your patient about it? -- 10. Telepsychiatry -- 11. Prediction of suicide risk using machine learning and big data -- 12. Electronic Health Records to Detect Psychosis Risk -- 13. The use of artificial intelligence to identify trajectories of severe mental disorders -- 14. The use of machine-learning techniques to solve problems in forensic psychiatry -- 15. Gaming Disorder and Problematic Use of Social Media.

This innovative book focuses on potential, limitations, and recommendations for the digital mental health landscape. Authors synthesize existing literature on the validity of digital health technologies, including smartphones apps, sensors, chatbots and telepsychiatry for mental health disorders. They also note that collecting real-time biological information is usually better than just collect filled-in forms, and that will also mitigate problems related to recall bias in clinical appointments. Limitations such as confidentiality, engagement and retention rates are moreover discussed. Presented in fifteen chapters, the work addresses the following questions: may smartphones and sensors provide more accurate information about patients' symptoms between clinical appointments, which in turn avoid recall bias? Is there evidence that digital phenotyping could help in clinical decisions in mental health? Is there scientific evidence to support the use of mobile interventions in mental health? Digital Mental Health will help clinicians and researchers, especially psychiatrics and psychologists, to define measures and to determine how to test apps or usefulness, feasibility and efficacy in order to develop a consensus about reliability. These professionals will be armed with the latest evidence as well as prepared to a new age of mental health.

ISBN: 9783031106989$q(electronic bk.)

Standard No.: 10.1007/978-3-031-10698-9doiSubjects--Topical Terms:

953012
Mental health services
--Technological innovations.

LC Class. No.: RA790.5 / .D54 2023

Dewey Class. No.: 616.8900285

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505 0 $a 1. The Dawn of Digital Psychiatry -- 2. Digital Biomarkers and Passive Digital Indicators of Generalized Anxiety Disorder -- 3. Digital phenotyping in mood disorders -- 4. Mental health assessment via Internet: the psychometrics in the digital era -- 5. Smartphone-based treatment in psychiatry - a systematic review -- 6. Digital therapies for insomnia -- 7. The efficacy of smartphone-based interventions in bipolar disorder -- 8. Chatbots in the field of mental health: challenges and opportunities -- 9. How to evaluate a mobile app and advise your patient about it? -- 10. Telepsychiatry -- 11. Prediction of suicide risk using machine learning and big data -- 12. Electronic Health Records to Detect Psychosis Risk -- 13. The use of artificial intelligence to identify trajectories of severe mental disorders -- 14. The use of machine-learning techniques to solve problems in forensic psychiatry -- 15. Gaming Disorder and Problematic Use of Social Media.
520 $a This innovative book focuses on potential, limitations, and recommendations for the digital mental health landscape. Authors synthesize existing literature on the validity of digital health technologies, including smartphones apps, sensors, chatbots and telepsychiatry for mental health disorders. They also note that collecting real-time biological information is usually better than just collect filled-in forms, and that will also mitigate problems related to recall bias in clinical appointments. Limitations such as confidentiality, engagement and retention rates are moreover discussed. Presented in fifteen chapters, the work addresses the following questions: may smartphones and sensors provide more accurate information about patients' symptoms between clinical appointments, which in turn avoid recall bias? Is there evidence that digital phenotyping could help in clinical decisions in mental health? Is there scientific evidence to support the use of mobile interventions in mental health? Digital Mental Health will help clinicians and researchers, especially psychiatrics and psychologists, to define measures and to determine how to test apps or usefulness, feasibility and efficacy in order to develop a consensus about reliability. These professionals will be armed with the latest evidence as well as prepared to a new age of mental health.
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