Evidence map›Paper›PMID 41784921›Full record

ArticleMedicine, health care, and philosophy2026

Can health technologies be "care optimizers"? A normative evaluation of digital health technologies in light of postphenomenological reflections.

Orhan Onder, Ilhan Ilkilic

Abstract read
In one paragraph

Article in Medicine, health care, and philosophy, 2026. 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

2 authors.

Orhan OnderDepartment of History of Medicine and Ethics, School of Medicine, Marmara University, Başıbüyük Yolu No: 9 D:2, 34854, Maltepe, Istanbul, Turkey. orhan.onder@marmara.edu.tr.ORCID http://orcid.org/0000-0001-9083-3564
Ilhan IlkilicDepartment of History of Medicine and Ethics, Istanbul Faculty of Medicine, Istanbul University, Eski Esnaf Hastanesi, 34116, Fatih, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-4250-8676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of new technologies such as artificial intelligence (AI) into healthcare has initiated profound changes in clinical practice, reshaping not only clinical workflows but the relational structure of care itself. Among the most significant developments is the transformation of the traditional doctor–patient dyad into a doctor–patient–technology triad. Philosophical studies of technology, especially postphenomenological research, argue that technologies should not be understood as neutral tools but as mediators of perception and action. Building on this perspective, we argue that ethical evaluation must move beyond description toward a normative orientation for understanding how such mediation reshapes care relations. To this end, we draw on postphenomenological theory of technological mediation in relation to contemporary clinical practices and develop a normative evaluative framework grounded in patient wellbeing, understood as an emergent, relational quality of care. Rather than deriving evaluative categories from a single tradition, the framework integrates insights from quality-of-care scholarship and care-ethical perspectives, informed by relational accounts of clinical practice. It operationalizes this orientation across five domains (care quality, patient-centeredness, decision-making, access and communication, and care practices) understood as relational sites where technological mediation can enhance or compromise care. Using clinical decision support systems (CDSS) as an analytically demanding test case, we introduce the concept of the care optimizer as a descriptive-normative category identifying technologies that structure the conditions under which care unfolds. By anchoring evaluation in patient wellbeing and situating technological mediation within a normative horizon, the framework translates postphenomenological insights into ethically actionable guidance and aims to ensure that digital health innovations reinforce, rather than undermine, the moral commitments of medicine.

Indexed as

Biomedical TechnologyArtificial IntelligenceCommunicationDecision Support Systems, ClinicalDigital HealthHumansPatient-Centered CarePhilosophy, MedicalPhysician-Patient RelationsQuality of Health CareCare optimizerClinical decision support systems (CDSS)Doctor–patient relationshipHealth technologiesPostphenomenologyTechnological mediation

Identifiers

PMID41784921
PMCPMC13086759

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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.