Cargando…

Usage of a graph database for the selection of sterile items in the OR

PURPOSE: In this work, we present a subsystem of a robotic circulating nurse, that produces recommendations for the next supplied sterile item based on incomplete requests from the sterile OR staff, the current situation, predefined knowledge and experience from previous surgeries. We describe a str...

Descripción completa

Detalles Bibliográficos
Autores principales: Müller, C., Bernhard, L., Wilhelm, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113309/
https://www.ncbi.nlm.nih.gov/pubmed/36449131
http://dx.doi.org/10.1007/s11548-022-02795-w
_version_ 1785027811954655232
author Müller, C.
Bernhard, L.
Wilhelm, D.
author_facet Müller, C.
Bernhard, L.
Wilhelm, D.
author_sort Müller, C.
collection PubMed
description PURPOSE: In this work, we present a subsystem of a robotic circulating nurse, that produces recommendations for the next supplied sterile item based on incomplete requests from the sterile OR staff, the current situation, predefined knowledge and experience from previous surgeries. We describe a structure to store and query the underlying information in terms of entities and their relationships of varying strength. METHODS: For the implementation, the graph database Neo4j is used as a core component together with its querying language Cypher. We outline a specific structure of nodes and relationships, i.e., a graph. Primarily, it allows to represent entities like surgeons, surgery types and items, as well as their complex interconnectivity. In addition, it enables to match given situations and partial requests in the OR with corresponding subgraphs. The subgraphs provide suitable sterile items and allow to prioritize them according to their utilization frequency. RESULTS: The graph database was populated with existing data from 854 surgeries describing the intraoperative use of sterile items. A test scenario is evaluated in which a request for “Prolene” is made during a cholecystectomy. The software identifies a specific “Prolene” suture material as the most probable requested sterile item, because of its utilization frequency from over 95%. Other “Prolene” suture materials were used in less than 15% of the cholecystectomies. CONCLUSION: We have proposed a graph database for the selection of sterile items in the operating room. The example shows how the partial information from different sources can be easily integrated in a query, leading to an unique result. Eventually, we propose possible enhancements to further improve the quality of the recommendations. In the next step, the recommendations of the software will be evaluated in real time during surgeries.
format Online
Article
Text
id pubmed-10113309
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-101133092023-04-20 Usage of a graph database for the selection of sterile items in the OR Müller, C. Bernhard, L. Wilhelm, D. Int J Comput Assist Radiol Surg Short Communication PURPOSE: In this work, we present a subsystem of a robotic circulating nurse, that produces recommendations for the next supplied sterile item based on incomplete requests from the sterile OR staff, the current situation, predefined knowledge and experience from previous surgeries. We describe a structure to store and query the underlying information in terms of entities and their relationships of varying strength. METHODS: For the implementation, the graph database Neo4j is used as a core component together with its querying language Cypher. We outline a specific structure of nodes and relationships, i.e., a graph. Primarily, it allows to represent entities like surgeons, surgery types and items, as well as their complex interconnectivity. In addition, it enables to match given situations and partial requests in the OR with corresponding subgraphs. The subgraphs provide suitable sterile items and allow to prioritize them according to their utilization frequency. RESULTS: The graph database was populated with existing data from 854 surgeries describing the intraoperative use of sterile items. A test scenario is evaluated in which a request for “Prolene” is made during a cholecystectomy. The software identifies a specific “Prolene” suture material as the most probable requested sterile item, because of its utilization frequency from over 95%. Other “Prolene” suture materials were used in less than 15% of the cholecystectomies. CONCLUSION: We have proposed a graph database for the selection of sterile items in the operating room. The example shows how the partial information from different sources can be easily integrated in a query, leading to an unique result. Eventually, we propose possible enhancements to further improve the quality of the recommendations. In the next step, the recommendations of the software will be evaluated in real time during surgeries. Springer International Publishing 2022-11-30 2023 /pmc/articles/PMC10113309/ /pubmed/36449131 http://dx.doi.org/10.1007/s11548-022-02795-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Short Communication
Müller, C.
Bernhard, L.
Wilhelm, D.
Usage of a graph database for the selection of sterile items in the OR
title Usage of a graph database for the selection of sterile items in the OR
title_full Usage of a graph database for the selection of sterile items in the OR
title_fullStr Usage of a graph database for the selection of sterile items in the OR
title_full_unstemmed Usage of a graph database for the selection of sterile items in the OR
title_short Usage of a graph database for the selection of sterile items in the OR
title_sort usage of a graph database for the selection of sterile items in the or
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113309/
https://www.ncbi.nlm.nih.gov/pubmed/36449131
http://dx.doi.org/10.1007/s11548-022-02795-w
work_keys_str_mv AT mullerc usageofagraphdatabasefortheselectionofsterileitemsintheor
AT bernhardl usageofagraphdatabasefortheselectionofsterileitemsintheor
AT wilhelmd usageofagraphdatabasefortheselectionofsterileitemsintheor