Young academic psychiatrists in 2050s: future directions across low- and high-income settings.

Academic psychiatrists inhabit two professional identities: clinician and researcher. In some settings they also carry out teaching to a range of staff. These skills require rigorous training, yet various domains of psychiatry are evolving faster than its curricula. Drawing on our experiences as two early-career academic psychiatrists working in the United Kingdom and Zimbabwe, we reflect on how divergent health-system realities reveal shared challenges and opportunities for the future of the discipline. Despite stark contextual differences, we note young psychiatrists across settings report similar anxieties about preparedness, relevance and ethical practice. We suggest that the future of psychiatry should be shaped through a cross-cutting, global lens rather than siloed by geography or income level. We highlight tensions between the often crowded biomedical curricula and the skills increasingly required in practice, as well as emerging challenges posed by digital psychiatry and artificial intelligence (AI). We propose a reorientation of training towards digital and AI literacy, systems leadership, narrative competence, and advanced human communication skills. Preparing psychiatrists for 2050 requires training not only for today's clinical tasks, but for ethically navigating complexity, technology and inequality while remaining grounded in human connection.

Authors

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2026-02-16
DOI
https://doi.org/10.48620/94725
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Young academic psychiatrists in 2050s: future directions across low- and high-income settings.

Sam Gnanapragasam, Rukudzo Mwamuka
Open Access CRIS of the University of Bern
Digital Mental Health Interventions
article

Young academic psychiatrists in 2050s: future directions across low- and high-income settings.

Sam Gnanapragasam, Rukudzo Mwamuka
article en

Abstract

Academic psychiatrists inhabit two professional identities: clinician and researcher. In some settings they also carry out teaching to a range of staff. These skills require rigorous training, yet various domains of psychiatry are evolving faster than its curricula. Drawing on our experiences as two early-career academic psychiatrists working in the United Kingdom and Zimbabwe, we reflect on how divergent health-system realities reveal shared challenges and opportunities for the future of the discipline. Despite stark contextual differences, we note young psychiatrists across settings report similar anxieties about preparedness, relevance and ethical practice. We suggest that the future of psychiatry should be shaped through a cross-cutting, global lens rather than siloed by geography or income level. We highlight tensions between the often crowded biomedical curricula and the skills increasingly required in practice, as well as emerging challenges posed by digital psychiatry and artificial intelligence (AI). We propose a reorientation of training towards digital and AI literacy, systems leadership, narrative competence, and advanced human communication skills. Preparing psychiatrists for 2050 requires training not only for today's clinical tasks, but for ethically navigating complexity, technology and inequality while remaining grounded in human connection.

Open Access CRIS of the University of Bern
Quality Education
Openalex Percentile: Top 57%
Digital Mental Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.