MétaCan
Menu
Back to cohort
Record W3184166275 · doi:10.2196/30867

User Experience in Remote Surgical Consultation: Survey Study of User Acceptance and Satisfaction in Real-Time Use of a Telemedicine Service

2021· article· en· W3184166275 on OpenAlexvenueno aff
Hedvig Aminoff, Sebastiaan Meijer, Kristina Groth, Urban Arnelo

Bibliographic record

VenueJMIR Human Factors · 2021
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsnot available
Fundersnot available
KeywordsUsabilityTelemedicineService (business)Patient satisfactionMedicineGeneral partnershipScope (computer science)Medical educationNursingComputer scienceHealth careBusinessHuman–computer interactionMarketing

Abstract

fetched live from OpenAlex

BACKGROUND: Teleguidance, a promising telemedicine service for intraoperative surgical consultation, was planned to scale up at a major academic hospital in partnership with 5 other hospitals. If the service was adopted and used over time, it was expected to provide educational benefits and improve clinical outcomes during endoscopic retrograde cholangiopancreatography (ERCP), which is a technically advanced procedure for biliary and pancreatic disease. However, it is known that seemingly successful innovations can play out differently in new settings, which might cause variability in clinical outcomes. In addition, few telemedicine services survive long enough to deliver system-level outcomes, the causes of which are not well understood. OBJECTIVE: We were interested in factors related to usability and user experience of the telemedicine service, which might affect adoption. Therefore, we investigated perceptions and responses to the use and anticipated use of a system. Technology acceptance, a construct referring to how users perceive a technology's usefulness, is commonly considered to indicate whether a new technology will actually be used in a real-life setting. Satisfaction measures were used to investigate whether user expectations and needs have been met through the use of technology. In this study, we asked surgeons to rate the perceived usefulness of teleguidance, and their satisfaction with the telemedicine service in direct conjunction with real-time use during clinical procedures. METHODS: We designed domain-specific measures for perceived usefulness and satisfaction, based on performance and outcome measures for the clinical procedure. Surgeons were asked to rate their user experience with the telemedicine service in direct conjunction with real-time use during clinical procedures. RESULTS: In total, 142 remote intraoperative consultations were conducted during ERCP procedures at 5 hospitals. The demand for teleguidance was more pronounced in cases with higher complexity. Operating surgeons rated teleguidance to have contributed to performance and outcomes to a moderate or large extent in 111 of 140 (79.3%) cases. Specific examples were that teleguidance was rated as having contributed to intervention success and avoiding a repeated ERCP in 23 cases, avoiding 3 PTC, and 11 referrals, and in 11 cases, combinations of these outcomes. Preprocedure beliefs about the usefulness of teleguidance were generally lower than postprocedure satisfaction ratings. The usefulness of teleguidance was mainly experienced through practical advice from the consulting specialist (119/140, 85%) and support with assessment and decision-making (122/140, 87%). CONCLUSIONS: Users' satisfaction with teleguidance surpassed their initial expectations, mainly through contribution to nontechnical aspects of performance, and through help with general assessment. Teleguidance shows the potential to improve performance and outcomes during ERCP. However, it takes hands-on experience for practitioners to understand how the new telemedicine service contributes to performance and outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.097
GPT teacher head0.410
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Human FactorsSame topicTelemedicine and Telehealth ImplementationFrench-language works237,207