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Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia

BACKGROUND: In many dental settings, diagnosis and treatment planning is the responsibility of a single clinician, and this process is inevitably influenced by the clinician’s own heuristics and biases. Our aim was to test whether collective intelligence increases the accuracy of individual diagnose...

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Autores principales: Ganhewa, Mahen, Lau, Alison, Lay, Angela, Lee, Min Jae, Liang, Weiyu, Li, Emmy, Li, Xue, Khoo, Lee Yen, Lee, Su Min, Mariño, Rodrigo, Cirillo, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280903/
https://www.ncbi.nlm.nih.gov/pubmed/37340358
http://dx.doi.org/10.1186/s12903-023-03091-y
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author Ganhewa, Mahen
Lau, Alison
Lay, Angela
Lee, Min Jae
Liang, Weiyu
Li, Emmy
Li, Xue
Khoo, Lee Yen
Lee, Su Min
Mariño, Rodrigo
Cirillo, Nicola
author_facet Ganhewa, Mahen
Lau, Alison
Lay, Angela
Lee, Min Jae
Liang, Weiyu
Li, Emmy
Li, Xue
Khoo, Lee Yen
Lee, Su Min
Mariño, Rodrigo
Cirillo, Nicola
author_sort Ganhewa, Mahen
collection PubMed
description BACKGROUND: In many dental settings, diagnosis and treatment planning is the responsibility of a single clinician, and this process is inevitably influenced by the clinician’s own heuristics and biases. Our aim was to test whether collective intelligence increases the accuracy of individual diagnoses and treatment plans, and whether such systems have potential to improve patient outcomes in a dental setting. METHODS: This pilot project was carried out to assess the feasibility of the protocol and appropriateness of the study design. We used a questionnaire survey and pre-post study design in which dental practitioners were involved in the diagnosis and treatment planning of two simulated cases. Participants were provided the opportunity to amend their original diagnosis/treatment decisions after viewing a consensus report made to simulate a collaborative setting. RESULTS: Around half (55%, n = 17) of the respondents worked in group private practices, however most practitioners (74%, n = 23) did not collaborate when planning treatment. Overall, the average practitioners’ self-confidence score in managing different dental disciplines was 7.22 (s.d. 2.20) on a 1–10 scale. Practitioners tended to change their mind after viewing the consensus response, particularly for the complex case compared to the simple case (61.5% vs 38.5%, respectively). Practitioners' confidence ratings were also significantly higher (p < 0.05) after viewing the consensus for complex case. CONCLUSION: Our pilot study shows that collective intelligence in the form of peers’ opinion can lead to modifications in diagnosis and treatment planning by dentists. Our results lay the foundations for larger scale investigations on whether peer collaboration can improve diagnostic accuracy, treatment planning and, ultimately, oral health outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-023-03091-y.
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spelling pubmed-102809032023-06-21 Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia Ganhewa, Mahen Lau, Alison Lay, Angela Lee, Min Jae Liang, Weiyu Li, Emmy Li, Xue Khoo, Lee Yen Lee, Su Min Mariño, Rodrigo Cirillo, Nicola BMC Oral Health Research BACKGROUND: In many dental settings, diagnosis and treatment planning is the responsibility of a single clinician, and this process is inevitably influenced by the clinician’s own heuristics and biases. Our aim was to test whether collective intelligence increases the accuracy of individual diagnoses and treatment plans, and whether such systems have potential to improve patient outcomes in a dental setting. METHODS: This pilot project was carried out to assess the feasibility of the protocol and appropriateness of the study design. We used a questionnaire survey and pre-post study design in which dental practitioners were involved in the diagnosis and treatment planning of two simulated cases. Participants were provided the opportunity to amend their original diagnosis/treatment decisions after viewing a consensus report made to simulate a collaborative setting. RESULTS: Around half (55%, n = 17) of the respondents worked in group private practices, however most practitioners (74%, n = 23) did not collaborate when planning treatment. Overall, the average practitioners’ self-confidence score in managing different dental disciplines was 7.22 (s.d. 2.20) on a 1–10 scale. Practitioners tended to change their mind after viewing the consensus response, particularly for the complex case compared to the simple case (61.5% vs 38.5%, respectively). Practitioners' confidence ratings were also significantly higher (p < 0.05) after viewing the consensus for complex case. CONCLUSION: Our pilot study shows that collective intelligence in the form of peers’ opinion can lead to modifications in diagnosis and treatment planning by dentists. Our results lay the foundations for larger scale investigations on whether peer collaboration can improve diagnostic accuracy, treatment planning and, ultimately, oral health outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-023-03091-y. BioMed Central 2023-06-20 /pmc/articles/PMC10280903/ /pubmed/37340358 http://dx.doi.org/10.1186/s12903-023-03091-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ganhewa, Mahen
Lau, Alison
Lay, Angela
Lee, Min Jae
Liang, Weiyu
Li, Emmy
Li, Xue
Khoo, Lee Yen
Lee, Su Min
Mariño, Rodrigo
Cirillo, Nicola
Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia
title Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia
title_full Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia
title_fullStr Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia
title_full_unstemmed Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia
title_short Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia
title_sort harnessing the power of collective intelligence in dentistry: a pilot study in victoria, australia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280903/
https://www.ncbi.nlm.nih.gov/pubmed/37340358
http://dx.doi.org/10.1186/s12903-023-03091-y
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