Evidence map›Paper›PMID 41143393›Full record

ReviewPalliative & supportive care2025

Post-biographical dignity in the age of artificial intelligence: Narrative, ePROMs and ethical challenges in end-of-life care.

Abel García Abejas, David Geraldes Santos, Helder Mota-Filipe, Àngels Salvador Vergés

Abstract readReview
In one paragraph

Review in Palliative & supportive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Abel García AbejasNúcleo de Estudos em Bioética (NEBUBI), Faculdade de Ciências da Saúde da Universidade da Beira Interior, Covilhã, Portugal.ORCID https://orcid.org/0000-0002-4115-5012
David Geraldes SantosCommunication, Philosophy and Politics of the Faculty of Arts and Letters, University of Beira Interior, Covilhã, Portugal.
Helder Mota-FilipeDepartment of Pharmacy, Pharmacology and Health Technologies, Faculty of Pharmacy, University of Lisboa, Lisbon, Portugal.
Àngels Salvador VergésBoard of Directors, Innohealth Academy, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe growing integration of artificial intelligence (AI) and patient-reported digital tools (ePROMs and ePREMs) in palliative care offers new opportunities for personalised care yet also raises profound ethical and philosophical concerns. This paper examines how emerging technologies intersect with the concept of human dignity at the end of life, proposing an expanded notion of post-biographical dignity.

methodsEthical-philosophical analysis based on critical readings of AI ethics, narrative medicine, and the philosophy of technology.

resultsWhile digital tools such as ePROMs and ePREMs offer potential for richer, more person-centred care, they also risk reducing patients to data points and predictive profiles. Digital processes increasingly shape the narrative, vulnerability, and memory of the dying person. Post-biographical dignity calls for a reconceptualization of care that includes memory, relational continuity, and ethical engagement with digital remains. SIGNIFICANCE OF

resultsEnd-of-life care in the age of AI must move beyond autonomy-focused ethics to encompass the narrative, relational, and posthumous dimensions of dignity. A critical, philosophically informed ethics is essential to prevent depersonalisation in digitally mediated care.

Indexed as

Artificial IntelligencePersonhoodTerminal CareHumansNarrationartificial intelligencedigital legacyDignityethics of technologypalliative carepost-biographical identity

Identifiers

PMID41143393
PMCPMC13166595

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.