Confidentiality, anonymisation and their digital discontents

Area of Science:

• Psychoanalysis
• Digital Ethics
• Clinical Psychology

Background:

• Protecting patient confidentiality in psychoanalytic case reports is complex.
• Traditional methods like disguise are favored over consent due to potential treatment disruption and the nature of the unconscious.
• The rise of digital technology and Artificial Intelligence (AI) challenges the efficacy of traditional anonymization techniques.

Purpose of the Study:

• To explore the challenges psychoanalysts face in communicating clinical work while maintaining patient confidentiality.
• To investigate whether effective anonymization of patient data is achievable in the digital age, particularly with AI.
• To examine the implications of AI on the established practice of disguising patient identities.

Main Methods:

• The study involves a review and discussion of psychoanalytic literature and ethical considerations.
• It analyzes the impact of digital advancements and AI on patient privacy.
• The papers synthesize expert opinions on the feasibility of anonymization in contemporary clinical practice.

Main Results:

• Current anonymization methods may be insufficient to guarantee patient confidentiality in the digital era.
• The increasing sophistication of AI raises concerns about re-identification, even with disguised data.
• There is a growing debate on whether effective anonymization is still possible, challenging long-held practices.

Conclusions:

• The advent of AI and digital platforms necessitates a re-evaluation of how psychoanalysts communicate clinical work.
• Achieving adequate patient anonymization in the digital age presents significant ethical and practical hurdles.
• Further research and discussion are needed to develop new strategies for safeguarding confidentiality in contemporary psychoanalytic practice.