Navigating Information Technologies in Everyday Psychiatry Practice: A Guide for Early Career Psychiatrists
K. Vasilchenko

TL;DR
This paper guides early career psychiatrists on using digital technologies like AI to improve diagnosis, treatment, and patient care in modern psychiatry.
Contribution
A practical guide for early career psychiatrists on integrating information technologies into psychiatric practice.
Findings
AI and machine learning can enhance diagnostic accuracy and personalize treatment in psychiatry.
Ethical and legal issues, such as data confidentiality, must be addressed when using digital tools.
Virtual environments and mobile apps show potential for improving mental health monitoring and support.
Abstract
This presentation provides an overview of the impact of information technologies on contemporary psychiatric practice, focusing on resources and strategies beneficial for early career psychiatrists. Considering the increasing role of digital technologies in diagnosing and treating mental disorders, the presentation emphasizes the practical applications of artificial intelligence (AI) and machine learning. These technologies offer novel approaches for analyzing large volumes of clinical data, enhancing diagnostic accuracy, and personalizing treatment. The presentation further examines ethical and legal issues associated with using digital technologies in psychiatry, including ensuring data confidentiality and complying with patient rights. The importance of developing competencies in information security and ethical principles when using digital tools is highlighted. The talk concludes…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Mental Health Interventions
