Evidence map›Paper›PMID 42728477›Full record

ArticleJournal of religion and health2026

Algorithmic Moral Burden: Pope Leo XIV, Conscience, and Professional Agency in AI-Supported Philippine Healthcare.

Jomar S Tianio, Omar R Manlapas

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Article in Journal of religion and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jomar S TianioGeneral Education Department, National University, Metro Manila, Manila, Philippines. tianiojomar@gmail.com.ORCID http://orcid.org/0009-0007-8174-1538
Omar R ManlapasPolitical Science Department, National University, Metro Manila, Manila, Philippines.ORCID http://orcid.org/0009-0009-0452-1499

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence influences clinical judgment, risk assessment, documentation, and referral, raising questions about professionals who remain answerable for decisions shaped by systems they cannot evaluate or contest. This study develops the conscientious algorithmic practice framework for AI-supported healthcare in the Philippines through integrative analysis, concept-driven thematic synthesis, and theological and psychological theory integration. Pope Leo XIV's account of technological power, human freedom, responsibility, and the dignity of work is brought into dialogue with the theology of conscience and vocation and moral injury theory. The article introduces algorithmic moral burden as a sociotechnical and ethical condition requiring the conjunction of meaningful AI influence, continuing professional answerability, and constrained evaluative authority. Clinical uncertainty, an isolated error, workload, or disagreement with an algorithm does not independently establish the construct. Conscientious algorithmic agency is proposed as the institutionally supported capacity for calibrated reliance and reasoned contestation, including informed acceptance, clarification, contextual modification, consultation, escalation, formal review, and justified override. The framework distinguishes conscience-supportive, conscience-strained, and morally injurious algorithmic practice as provisional, overlapping configurations rather than diagnostic categories or causal stages. Moral distress, reduced institutional trust, vocational disruption, spiritual struggle, and moral injury are treated as possible consequences rather than defining components. The conscientious clinic provides the normative vision of an institution that matches professional answerability with role-appropriate literacy, authority, psychological safety, accessible review, distributed accountability, and opportunities for acknowledgment and repair. The framework offers an empirically examinable basis for profession-specific and context-sensitive research without presuming that AI causes moral injury among Filipino health professionals.

Indexed as

Algorithmic moral burdenArtificial intelligenceConscientious algorithmic agencyFilipino health professionalsMoral injuryProfessional answerabilitySpiritual well-being

Identifiers

PMID42728477

What OpenQuestion holds

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Registered trials

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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.