Evidence map›Paper›PMID 37122674›Full record

ArticleIndian journal of orthopaedics2023

Patient Perspectives on Artificial Intelligence in Healthcare Decision Making: A Multi-Center Comparative Study.

Matthew W Parry, Jonathan S Markowitz, Cara M Nordberg, Aalpen Patel, Wesley H Bronson, Edward M DelSole

Abstract read
In one paragraph

Article in Indian journal of orthopaedics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Patient perspectives on AI-based decision support in surgery.BMJ surgery, interventions, & health technologies · 2025
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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

6 authors.

Matthew W ParryGeisinger Orthopaedics and Sports Medicine, Scranton, PA USA.ORCID 0000-0002-0665-8087
Jonathan S MarkowitzOrthopaedic Surgery at the Mount Sinai Hospital, New York, NY USA.
Cara M NordbergDepartment of Population Health Sciences, Geisinger Medical Center, Danville, PA USA.
Aalpen PatelDepartment of Imaging Science and Innovation, Geisinger Medical Center, Danville, PA USA.
Wesley H BronsonOrthopaedic Surgery at the Mount Sinai Hospital, New York, NY USA.
Edward M DelSoleGeisinger Orthopaedics and Sports Medicine, Scranton, PA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Investigate the patient opinion on the use of Artificial Intelligence (AI) in Orthopaedics. Methods: 397 orthopaedic patients from a large urban academic center and a rural health system completed a 37-component survey querying patient demographics and perspectives on clinical scenarios involving AI. An average comfort score was calculated from thirteen Likert-scale questions (1, not comfortable; 10, very comfortable). Secondary outcomes requested a binary opinion on whether it is acceptable for patient healthcare data to be used to create AI (yes/no) and the impact of AI on: orthopaedic care (positive/negative); healthcare cost (increase/decrease); and their decision to refuse healthcare if cost increased (yes/no). Bivariate and multivariable analyses were employed to identify characteristics that impacted patient perspectives. Results: The average comfort score across the population was 6.4, with significant bivariate differences between age ( Conclusion: The orthopaedic patient appears comfortable with AI joining the care team.

Indexed as

Artificial intelligenceMulti-centerPatient comfortPatient perspectives

Identifiers

PMID37122674
PMCPMC9979110

What OpenQuestion holds

Textmetadata
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.