Evidence map›Paper›PMID 37761472›Full record

ArticleChildren (Basel, Switzerland)2023

Perspectives of Healthcare Providers to Inform the Design of an AI-Enhanced Social Robot in the Pediatric Emergency Department.

Summer Hudson, Fareha Nishat, Jennifer Stinson, Sasha Litwin, Frauke Zeller, Brittany Wiles, Mary Ellen Foster, Samina Ali, Canada-UK AI Team

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
9.9field-weighted citation impact, top 2% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Can social robots improve the hospital experience of children?Frontiers in rehabilitation sciences · 2026
    Article
  3. Barriers to and Facilitators of Technology Adoption in Emergency Departments: A Comprehensive Review.International journal of environmental research and public health · 2025
    Review
  4. Article
  5. Review
  6. 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

9 authors at 5 institutions in 2 countries.

Summer HudsonDepartment of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 1C9, Canada.ORCID 0000-0003-2636-8068
Fareha NishatChild Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Jennifer StinsonChild Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.ORCID 0000-0002-9969-8052
Sasha LitwinDivision of Emergency Medicine, The Hospital for Sick Children, Toronto, ON M5G 1E8, Canada.
Frauke ZellerSchool of Computing, Engineering, and The Built Environment, Edinburgh Napier University, Edinburgh EH11 4BN, UK.ORCID 0000-0001-6835-2529
Brittany WilesChild Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Mary Ellen FosterSchool of Computing Science, University of Glasgow, Glasgow G12 8RZ, UK.ORCID 0000-0002-1228-7657
Samina AliDepartment of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 1C9, Canada.ORCID 0000-0002-0595-364X
Canada-UK AI Team
Hospital for Sick Children · CAUniversity of Alberta · CAEdinburgh Napier University · GBUniversity of Glasgow · GBUniversity of Toronto · CA

Funding

SSHRC-UKRI Canada-UK Artificial Intelligence Initiative ES/T012986/1
6 · The paper itself

Abstract

Children commonly experience pain and distress in healthcare settings related to medical procedures such as blood tests and intravenous insertions (IVIs). Inadequately addressed pain and distress can result in both short- and long-term negative consequences. The use of socially assistive robotics (SARs) to reduce procedure-related distress and pain in children's healthcare settings has shown promise; however, the current options lack autonomous adaptability. This study presents a descriptive qualitative needs assessment of healthcare providers (HCPs) in two Canadian pediatric emergency departments (ED) to inform the design an artificial intelligence (AI)-enhanced social robot to be used as a distraction tool in the ED to facilitate IVIs. Semi-structured virtual individual and focus group interviews were conducted with eleven HCPs. Four main themes were identified: (1) common challenges during IVIs (i.e., child distress and resource limitations), (2) available tools for pain and distress management during IVIs (i.e., pharmacological and non-pharmacological), (3) response to SAR appearance and functionality (i.e., personalized emotional support, adaptive distraction based on child's preferences, and positive reinforcement), and (4) anticipated benefits and challenges of SAR in the ED (i.e., ensuring developmentally appropriate interactions and space limitations). HCPs perceive AI-enhanced social robots as a promising tool for distraction during IVIs in the ED.

Indexed as

artificial intelligencechildrenco-designneeds assessmentpainprocedural distresssocial robotics

Identifiers

PMID37761472
PMCPMC10529269
OpenAlexW4386475479

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.