Bearing Witness
What does it feel like to experience, deliver, or witness acute, unscheduled care?
Ethos EM is a peer-reviewed, open-access health humanities journal exploring what it means to experience, deliver, and bear witness to acute, unscheduled care.
We publish empirical research alongside non-fiction, fiction, poetry, and visual art. Across methods and media, every contribution must engage at least one of four foundational questions.
What does it feel like to experience, deliver, or witness acute, unscheduled care?
How do social inequities, structural barriers, or systemic failures shape unscheduled care?
How is professional identity forged, and how must it transform amid change in medicine, education, technology, and policy?
How can the health humanities shape clinicians across training and practice, and influence patient outcomes?
Ethos EM was founded with support from the Department of Emergency Medicine at the University of Texas Southwestern Medical Center. Its editorial record is hosted through the Texas Digital Library using Open Journal Systems. Editorial leadership retains responsibility for policy and publication decisions.
For the journal’s first three years of publication, every published work will be free to read and authors will pay no submission fee or article-processing charge. The journal will review the financial model needed to sustain publication before that initial commitment ends and will disclose any future change before it applies.
During the journal’s first three years, published work is free to read and authors pay no submission fee or article-processing charge. Authors choose the reuse terms for accepted work and retain copyright unless they select CC0.
Original Research receives reviewer-anonymous peer review: reviewer identities are withheld from authors, while author identities may be visible to reviewers. Non-fiction, fiction, poetry, and visual work receive editorial and craft review appropriate to the form. Editorial decisions are made by people.
Human-subjects research requires appropriate review or a documented exemption. Identifiable people and institutions require consent or rigorous de-identification. Authors must disclose competing interests, funding, and relevant AI use.
Submissions must be original, accurate, and within scope. Generative-AI imagery is not accepted. Authors remain responsible for every part of the work they submit.