Evidence map›Paper›PMID 40153785›Full record

ArticleJournal of medical Internet research2025

Clinicians' Perceptions and Potential Applications of Robotics for Task Automation in Critical Care: Qualitative Study.

Jiafeng Song, Rishika Iytha Sridhar, Darlene Marie Rogers, Cheryl Hiddleson, Carolyn Davis, Tina Lynn Holden, Shanna Ramsey-Haynes, Lisa Reif, Julie Swann, Craig S Jabaley and 2 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. 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

12 authors.

Jiafeng SongDepartment of Biomedical Engineering, Duke University, Durham, NC, United States.ORCID 0000-0001-9699-1029
Rishika Iytha SridharDepartment of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0009-0006-8070-5511
Darlene Marie RogersEmory Hillandale Hospital, Lithonia, GA, United States.ORCID 0000-0003-2713-7368
Cheryl HiddlesoneICU Operations, Emory Healthcare, Atlanta, GA, United States.ORCID 0009-0004-4587-5115
Carolyn DavisDepartment of Surgery, Emory University School of Medicine, Atlanta, GA, United States.ORCID 0000-0002-0760-1381
Tina Lynn HoldenEmory Critical Care Center, Emory Healthcare, Atlanta, GA, United States.ORCID 0009-0005-1812-3994
Shanna Ramsey-HaynesEmory University Hospital Midtown, Atlanta, GA, United States.ORCID 0009-0002-8429-7069
Lisa ReifEmory University Hospital, Atlanta, GA, United States.ORCID 0009-0008-7453-8459
Julie SwannEmory Saint Joseph's Hospital, Atlanta, GA, United States.ORCID 0009-0009-3061-5077
Craig S JabaleyEmory Critical Care Center, Emory Healthcare, Atlanta, GA, United States.ORCID 0000-0001-6687-3953
Mary GullatteNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States.ORCID 0000-0002-6476-1373
Rishikesan KamaleswaranDepartment of Biomedical Engineering, Duke University, Durham, NC, United States.ORCID 0000-0001-8366-4811

Funding

Critical Care Training ProgramT32GM095442 · NIGMS · EMORY UNIVERSITY · PI Craig M Coopersmith · 2011 to 2026
$4.7M
Sepsis Physiomarkers for Appropriate Risk Knowledge of monitored patients in the ICU (SPARK-ICU)R01GM139967 · NIGMS · EMORY UNIVERSITY · PI KAMALESWARAN, RISHIKESAN · 2021 to 2025
$2.8M
The Gut as a Target to Improve Outcomes in SepsisR35GM148217 · NIGMS · EMORY UNIVERSITY · PI Craig M Coopersmith · 2023 to 2026
$2.2M
Advanced Immunobiology Traning Program for SurgeonsT32AI141342 · NIAID · DUKE UNIVERSITY · PI Allan D. Kirk, GEORGIA Doris TOMARAS · 2019 to 2026
$1.8M
NIAID NIH HHS T32 AI141342NIGMS NIH HHS R01 GM139967NIGMS NIH HHS R35 GM148217NIGMS NIH HHS T32 GM095442
6 · The paper itself

Abstract

backgroundInterest in integrating robotics within intensive care units (ICUs) has been propelled by technological advancements, workforce challenges, and heightened clinical demands, including during the COVID-19 pandemic. The integration of robotics in ICUs could potentially enhance patient care and operational efficiency amid existing challenges faced by health care professionals, including high workload and decision-making complexities.

objectiveThis qualitative study aimed to explore ICU clinicians' perceptions of robotic technology and to identify the types of tasks that might benefit from robotic assistance. We focused on the degree of acceptance, perceived challenges, and potential applications for improving patient care in 5 Southeastern US hospitals between January and August 2023.

methodsA qualitative study through semistructured interviews and questionnaires was conducted with 15 ICU clinicians (7 nurses, 6 physicians, and 2 advanced practice providers) from 5 hospitals in the Southeast United States. Directed content analysis was used to categorize and interpret participants' statements, with statistical tests used to examine any role-based differences in how they viewed robotic integration.

resultsAmong the 15 participants, 73% (11/15) were female, with an average of 6.4 (SD 6.3) years of ICU experience. We identified 78 distinct tasks potentially suitable for robotic assistance, of which 50 (64%) involved direct patient care (eg, repositioning patients and assisting with simple procedures), 19 (24%) concerned indirect patient care (eg, delivering supplies and cleaning), 6 (8%) addressed administrative tasks (eg, answering call lights), and 3 (4%) were classified as mixed direct and indirect (eg, sitting with a patient to keep them calm). Most participants supported the automation of routine, noncritical tasks (eg, responding to nurse calls and measuring glucose levels), viewing this strategy as a way to alleviate workload and enhance efficiency. Conversely, high-complexity tasks requiring nuanced clinical judgment (eg, ventilator settings) were deemed unsuitable for full automation. Statistical analysis revealed no significant difference in how nurses, physicians, and advanced practice providers perceived these tasks (P=.22).

conclusionsOur findings indicate a significant opportunity to use robotic systems to perform noncomplex tasks in ICUs, thereby potentially improving efficiency and reducing staff burden. Clinicians largely view robots as supportive tools rather than substitutes for human expertise. However, concerns persist regarding privacy, patient safety, and the loss of human touch, particularly for tasks requiring high-level clinical decision-making. Future research should involve broader, more diverse clinician samples and investigate the long-term impact of robotic assistance on patient outcomes while also incorporating patient perspectives to ensure ethical, patient-centered adoption of robotic technology.

Indexed as

Attitude of Health PersonnelAutomationCOVID-19Critical CareRoboticsAdultFemaleHumansIntensive Care UnitsMaleMiddle AgedQualitative ResearchSARS-CoV-2Southeastern United StatesSurveys and Questionnairescritical carehealth care technologyintensive care unitsqualitative studyrobotics

Identifiers

PMID40153785
PMCPMC11992484

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.