Preference elicitation: Obtaining gestural guidelines for PACS in neurosurgery.


Journal

International journal of medical informatics
ISSN: 1872-8243
Titre abrégé: Int J Med Inform
Pays: Ireland
ID NLM: 9711057

Informations de publication

Date de publication:
10 2019
Historique:
received: 20 08 2018
revised: 14 05 2019
accepted: 19 07 2019
pubmed: 23 8 2019
medline: 16 1 2020
entrez: 23 8 2019
Statut: ppublish

Résumé

Accessing medical records is an integral part of neurosurgical procedures in the Operating Room (OR). Gestural interfaces can help reduce the risks for infections by allowing the surgical staff to browse Picture Archiving and Communication Systems (PACS) without touch. The main objectives of this work are to: a) Elicit gestures from neurosurgeons to analyze their preferences, b) Develop heuristics for gestural interfaces, and c) Produce a lexicon that maximizes surgeons' preferences. A gesture elicitation study was conducted with nine neurosurgeons. Initially, subjects were asked to outline the gestures on a drawing board for each of the PACS commands. Next, the subjects performed one of three imaging tasks using gestures instead of the keyboard and mouse. Each gesture was annotated with respect to the presence/absence of gesture descriptors. Next, K-nearest neighbor approach was used to obtain the final lexicon that complies with the preferred/popular descriptors. The elicitation study resulted in nine gesture lexicons, each comprised of 28 gestures. A paired t-test between the popularity of the overall gesture and the top three descriptors showed that the latter is significantly higher than the former (89.5%-59.7% vs 19.4%, p < 0.001), meaning more than half of the subjects agreed on these descriptors. Next, the gesture heuristics were generated for each command using the popular descriptors. Lastly, we developed a lexicon that complies with surgeons' preferences. Neurosurgeons do agree on fundamental characteristics of gestures to perform image manipulation tasks. The proposed heuristics could potentially guide the development of future gesture-based interaction of PACS for the OR.

Identifiants

pubmed: 31437619
pii: S1386-5056(18)30863-3
doi: 10.1016/j.ijmedinf.2019.07.013
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

103934

Subventions

Organisme : AHRQ HHS
ID : R18 HS024887
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Naveen Madapana (N)

School of Industrial Engineering, Purdue University, West Lafayette, United States.

Glebys Gonzalez (G)

School of Industrial Engineering, Purdue University, West Lafayette, United States.

Rahul Taneja (R)

School of Industrial Engineering, Purdue University, West Lafayette, United States.

Richard Rodgers (R)

Goodman Campbell Brain and Spine, Indianapolis, United States.

Lingsong Zhang (L)

Department of Statistics, Purdue University, West Lafayette, United States.

Juan Wachs (J)

School of Industrial Engineering, Purdue University, West Lafayette, United States. Electronic address: jpwachs@purdue.edu.

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