Evidence map›Paper›PMID 38130798›Full record

ArticleDigital health

Critical analysis of the AI impact on the patient-physician relationship: A multi-stakeholder qualitative study.

Anto Čartolovni, Anamaria Malešević, Luka Poslon

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 13% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Anto ČartolovniDigital Healthcare Ethics Laboratory (Digit-HeaL), Catholic University of Croatia, Zagreb, Croatia.ORCID https://orcid.org/0000-0001-9420-0887
Anamaria MaleševićDigital Healthcare Ethics Laboratory (Digit-HeaL), Catholic University of Croatia, Zagreb, Croatia.
Luka PoslonDigital Healthcare Ethics Laboratory (Digit-HeaL), Catholic University of Croatia, Zagreb, Croatia.
Catholic University of Croatia · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This qualitative study aims to present the aspirations, expectations and critical analysis of the potential for artificial intelligence (AI) to transform patient-physician relationship, according to multi-stakeholder insight. Methods: This study was conducted from June to December 2021, using an anticipatory ethics approach and sociology of expectations as the theoretical frameworks. It focused mainly on three groups of stakeholders; namely, physicians (n = 12), patients (n = 15) and healthcare managers (n = 11), all of whom are directly related to the adoption of AI in medicine (n = 38). Results: In this study, interviews were conducted with 40% of the patients in the sample (15/38), as well as 31% of the physicians (12/38) and 29% of health managers in the sample (11/38). The findings highlight the following: (1) the impact of AI on fundamental aspects of the patient-physician relationship and the underlying importance of a synergistic relationship between the physician and AI; (2) the potential for AI to alleviate workload and reduce administrative burden by saving time and putting the patient at the centre of the caring process and (3) the potential risk to the holistic approach by neglecting humanness in healthcare. Conclusions: This multi-stakeholder qualitative study, which focused on the micro-level of healthcare decision-making, sheds new light on the impact of AI on healthcare and the potential transformation of patient-physician relationship. The results of the current study highlight the need to adopt a critical awareness approach to the implementation of AI in healthcare by applying critical thinking and reasoning. It is important not to rely solely upon the recommendations of AI while neglecting clinical reasoning and physicians' knowledge of best clinical practices. Instead, it is vital that the core values of the existing patient-physician relationship - such as trust and honesty, conveyed through open and sincere communication - are preserved.

Indexed as

Artificial intelligencebioethicsethicsmulti-stakeholder approachpatient–physician relationshipqualitative research

Identifiers

PMID38130798
PMCPMC10734361
OpenAlexW4389981388

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.