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Journal of Technologic Dentistry 2024; 46(2): 42-48

Published online June 30, 2024

https://doi.org/10.14347/jtd.2024.46.2.42

© Korean Academy of Dental Technology

디지털 덴탈 헬스케어 분야에서의 빅데이터 활용 전망에 대한 연구

류재경, 김남중, 김소민, 이선경

신한대학교 치기공학과

Received: May 2, 2024; Revised: May 30, 2024; Accepted: June 14, 2024

A study on the applications and prospects of big data in the field of digital dental healthcare

Jae-Kyung Ryu , Nam-Joong Kim , So-Min Kim , Sun-Kyoung Lee

Department of Dental Technology, College of Biotechnology and Health, Shinhan University, Uijeongbu, Korea

Correspondence to :
Sun-Kyoung Lee
Department of Dental Technology, College of Biotechnology and Health, Shinhan University, 95 Hoam-ro, Uijeongbu 11644, Korea
E-mail: oksk3737@hanmail.net
https://orcid.org/0000-0001-7025-7483

Received: May 2, 2024; Revised: May 30, 2024; Accepted: June 14, 2024

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose: The purpose of this study is to investigate the applications and prospects of big data in digital dental healthcare.
Methods: The study included 30 participants in the dental field (dentists, technicians, professors, and graduate students). From June 25 to 30, 2023, the contents of the study were thoroughly explained, consent was obtained from the research subjects, and a questionnaire was administered via an internet service. The questionnaires of 28 participants who responded completely were used for analysis. The collected data were statistically processed using IBM SPSS Statistics ver. 22.0 (IBM).
Results: The use of big data in digital dental healthcare, digital dental health system, mobile dental health, dental health analysis, and telehealthcare were all heavily surveyed, with an average score of 3.97 or higher on a 5-point Likert scale. The areas where big data can be utilized in digital dental healthcare are as follows. The utilization rate for three-dimensional digital product development via linkage with big data systems and industrial field manufacturing technology was found to be 4.11±0.67, and the analysis of trends by age in the occurrence of various oral diseases was found to be 4.00±0.98.
Conclusion: In the future, research into the viability of big data’s success in the medical data field, which is directly related to human life, is needed. Additionally, social policies and regulations regarding big data–related information and standards in dental healthcare are necessary.

Keywords: Big data, Dental healthcare, Dental technicians, Digital

Article

Original Article

Journal of Technologic Dentistry 2024; 46(2): 42-48

Published online June 30, 2024 https://doi.org/10.14347/jtd.2024.46.2.42

Copyright © Korean Academy of Dental Technology.

디지털 덴탈 헬스케어 분야에서의 빅데이터 활용 전망에 대한 연구

류재경, 김남중, 김소민, 이선경

신한대학교 치기공학과

Received: May 2, 2024; Revised: May 30, 2024; Accepted: June 14, 2024

A study on the applications and prospects of big data in the field of digital dental healthcare

Jae-Kyung Ryu , Nam-Joong Kim , So-Min Kim , Sun-Kyoung Lee

Department of Dental Technology, College of Biotechnology and Health, Shinhan University, Uijeongbu, Korea

Correspondence to:Sun-Kyoung Lee
Department of Dental Technology, College of Biotechnology and Health, Shinhan University, 95 Hoam-ro, Uijeongbu 11644, Korea
E-mail: oksk3737@hanmail.net
https://orcid.org/0000-0001-7025-7483

Received: May 2, 2024; Revised: May 30, 2024; Accepted: June 14, 2024

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose: The purpose of this study is to investigate the applications and prospects of big data in digital dental healthcare.
Methods: The study included 30 participants in the dental field (dentists, technicians, professors, and graduate students). From June 25 to 30, 2023, the contents of the study were thoroughly explained, consent was obtained from the research subjects, and a questionnaire was administered via an internet service. The questionnaires of 28 participants who responded completely were used for analysis. The collected data were statistically processed using IBM SPSS Statistics ver. 22.0 (IBM).
Results: The use of big data in digital dental healthcare, digital dental health system, mobile dental health, dental health analysis, and telehealthcare were all heavily surveyed, with an average score of 3.97 or higher on a 5-point Likert scale. The areas where big data can be utilized in digital dental healthcare are as follows. The utilization rate for three-dimensional digital product development via linkage with big data systems and industrial field manufacturing technology was found to be 4.11±0.67, and the analysis of trends by age in the occurrence of various oral diseases was found to be 4.00±0.98.
Conclusion: In the future, research into the viability of big data’s success in the medical data field, which is directly related to human life, is needed. Additionally, social policies and regulations regarding big data–related information and standards in dental healthcare are necessary.

Keywords: Big data, Dental healthcare, Dental technicians, Digital

Table 1 . General characteristics of subjects.

CharacteristicN (%)
Age (y)
20~295 (17.9)
30~395 (17.9)
40~4913 (46.4)
50~593 (10.7)
≥602 (7.1)
Job
Dentist1 (3.5)
Dental technician18 (64.3)
Professor5 (17.9)
Postgraduate student4 (14.3)
Career (y)
≤57 (25.0)
6~103 (10.7)
11~154 (14.3)
16~208 (28.6)
>216 (21.4)
Total28 (100)

Table 2 . Opinions on the outlook for the digital dental healthcare industry (N=28).

CharacteristicDivisionMean±SD

Strongly disagreeDo not agreeUsuallyAgreementVery agree
Mobile dental health1 (3.6)1 (3.6)3 (10.7)18 (64.3)5 (17.9)3.89±0.78
Tele healthcare1 (3.6)3 (10.7)4 (14.3)14 (50.0)6 (21.4)3.75±0.79
Dental health analytics1 (3.6)0 (0.0)4 (14.3)16 (57.1)6 (21.4)3.82±0.82
Digital dental health system1 (3.6)0 (0.0)4 (14.3)14 (50.0)9 (32.1)4.07±0.98
Utilization of big data in
digital dental healthcare
1 (3.6)0 (0.0)5 (17.9)11 (39.3)11 (39.3)4.10±0.95
Total3.97±0.86

Values are presented as number (%)..

Likert 5-point scale (minimum=1, maximum=5)..

SD: standard deviation..


Table 3 . Opinions on areas where big data can be utilized in digital dental healthcare (N=28).

CharacteristicDivisionMean±SD

Very littleLittleUsuallyManyVery many
Confirmation of the occurrence rate of palatal gingival sulcus in Koreans1 (3.6)2 (7.1)7 (25.0)16 (57.1)2 (7.1)3.57±0.88
Confirmation of dentition characteristics of Koreans1 (3.6)1 (3.6)4 (14.3)16 (57.1)6 (21.4)3.89±0.72
Analysis of age-specific trends in the occurrence of various oral diseases1 (3.6)0 (0.0)4 (14.3)16 (57.1)7 (25.0)4.00±0.98
Analysis of the relationship between periodontal disease and chronic disease1 (3.6)0 (0.0)6 (21.4)14 (50.5)7 (25.0)3.93±0.81
Analysis of differences in frequency of occurrence of oral diseases according to gender1 (3.6)0 (0.0)6 (21.4)15 (53.6)6 (21.4)3.89±0.78
Characteristic analysis of Korean tooth structure1 (3.6)0 (0.0)3 (10.7)19 (67.9)5 (17.9)3.96±0.81
Utilized for 3D digital product development through linkage with big data systems and industrial field manufacturing technology1 (3.6)0 (0.0)3 (10.7)15 (53.6)9 (32.1)4.11±0.67
Used to develop optimal equipment needed for occlusal diagnosis, adjustment, and treatment of Asian people’s unique natural teeth1 (3.6)0 (0.0)10 (35.7)13 (46.4)4 (14.3)3.68±0.76
Implementation of convergence certification development through living lab and utilization of rapid market entry system through connection with conformity certification1 (3.6)1 (3.6)11 (39.3)12 (42.9)3 (10.7)3.54±0.74
Analysis of period of use of dental prosthesis types1 (3.6)2 (7.1)7 (25.0)12 (42.9)6 (21.4)3.71±0.79
Dental prosthesis repair and management period analysis1 (3.6)2 (7.1)8 (28.6)10 (35.7)7 (25.0)3.71±0.77
Total3.82±0.78

Values are presented as number (%)..

Likert 5-point scale (minimum=1, maximum=5)..

3D: three-dimensional, SD: standard deviation..


Table 4 . Measures to increase the competitiveness of the domestic digital healthcare industry.

CharacteristicN (%)
R&D, clinical trials, establishment of infrastructure linked to business21 (12.9)
Nurturing and attracting manpower21 (12.9)
Improvement of related legal systems such as medical device licensing, etc.19 (11.7)
Expansion of R&D research funds18 (11.0)
Support for entering global markets18 (11.0)
Medical information security and personal information protection16 (9.8)
New workflow using digital health technology, establishment of R&R16 (9.8)
Etc.14 (8.6)
Improving patient safety and acceptance13 (8.0)
Improvement of related legal systems such as health insurance fee application and registration process7 (4.3)
Total28 (100)

Multiple responses (total=163)..

R&D: research and development, R&R: role & responsibility..


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Journal of Technologic Dentistry

eISSN 2288-5218
pISSN 1229-3954
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