Human Factors Integration in Robotic Surgery.

robotics surgery task design teamwork workspace

Journal

Human factors
ISSN: 1547-8181
Titre abrégé: Hum Factors
Pays: United States
ID NLM: 0374660

Informations de publication

Date de publication:
05 Mar 2022
Historique:
entrez: 7 3 2022
pubmed: 8 3 2022
medline: 8 3 2022
Statut: aheadofprint

Résumé

Using the example of robotic-assisted surgery (RAS), we explore the methodological and practical challenges of technology integration in surgery, provide examples of evidence-based improvements, and discuss the importance of systems engineering and clinical human factors research and practice. New operating room technologies offer potential benefits for patients and staff, yet also present challenges for physical, procedural, team, and organizational integration. Historically, RAS implementation has focused on establishing the technical skills of the surgeon on the console, and has not systematically addressed the new skills required for other team members, the use of the workspace, or the organizational changes. Human factors studies of robotic surgery have demonstrated not just the effects of these hidden complexities on people, teams, processes, and proximal outcomes, but also have been able to analyze and explain in detail why they happen and offer methods to address them. We review studies on workload, communication, workflow, workspace, and coordination in robotic surgery, and then discuss the potential for improvement that these studies suggest within the wider healthcare system. There is a growing need to understand and develop approaches to safety and quality improvement through human-systems integration at the frontline of care.Precis: The introduction of robotic surgery has exposed under-acknowledged complexities of introducing complex technology into operating rooms. We explore the methodological and practical challenges, provide examples of evidence-based improvements, and discuss the implications for systems engineering and clinical human factors research and practice.

Sections du résumé

OBJECTIVE OBJECTIVE
Using the example of robotic-assisted surgery (RAS), we explore the methodological and practical challenges of technology integration in surgery, provide examples of evidence-based improvements, and discuss the importance of systems engineering and clinical human factors research and practice.
BACKGROUND BACKGROUND
New operating room technologies offer potential benefits for patients and staff, yet also present challenges for physical, procedural, team, and organizational integration. Historically, RAS implementation has focused on establishing the technical skills of the surgeon on the console, and has not systematically addressed the new skills required for other team members, the use of the workspace, or the organizational changes.
RESULTS RESULTS
Human factors studies of robotic surgery have demonstrated not just the effects of these hidden complexities on people, teams, processes, and proximal outcomes, but also have been able to analyze and explain in detail why they happen and offer methods to address them. We review studies on workload, communication, workflow, workspace, and coordination in robotic surgery, and then discuss the potential for improvement that these studies suggest within the wider healthcare system.
CONCLUSION CONCLUSIONS
There is a growing need to understand and develop approaches to safety and quality improvement through human-systems integration at the frontline of care.Precis: The introduction of robotic surgery has exposed under-acknowledged complexities of introducing complex technology into operating rooms. We explore the methodological and practical challenges, provide examples of evidence-based improvements, and discuss the implications for systems engineering and clinical human factors research and practice.

Identifiants

pubmed: 35253508
doi: 10.1177/00187208211068946
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

187208211068946

Subventions

Organisme : AHRQ HHS
ID : R01 HS026491
Pays : United States

Auteurs

Ken Catchpole (K)

2345Medical University of South Carolina, Charleston, USA.

Tara Cohen (T)

22494Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Myrtede Alfred (M)

2345Medical University of South Carolina, Charleston, USA.

Sam Lawton (S)

2345Medical University of South Carolina, Charleston, USA.

Falisha Kanji (F)

22494Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Daniel Shouhed (D)

22494Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Lynne Nemeth (L)

2345Medical University of South Carolina, Charleston, USA.

Jennifer Anger (J)

UC San Diego, CA, USA.

Classifications MeSH