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Enhancing Human Performance in Dentistry

Introduction

In dentistry, efficiency and precision have to be carefully balanced. Patient safety may be compromised, treatments may take longer, and discomfort may result from a misplaced drill or an error in judgment. According to studies, human error is a severe worry in dentistry. According to Nikfarjam and Jazani (2015), human performance and cognitive limitations account for 20% to 90% of dental failures. These restrictions often reveal themselves during complicated procedures, when errors might occur due to decision-making fatigue and weariness (Schulte, 2018). Long periods spent in the uncomfortable postures associated with dentistry can also lead to musculoskeletal discomfort and physical exhaustion, further impairing performance (Jack et al., 2019).

This research investigates engineering controls, human performance optimization (HPO), and cognitive ergonomic evaluation as the three central control systems to improve human performance in dentistry. The study will look at the extent to which each approach resolves particular issues and advances patient care.

Engineering Controls

Engineering controls are implemented in dentistry to optimize efficiency and reduce errors by modifying the physical design of instruments, equipment, and workspaces. These controls are of the utmost importance in mitigating physical exertion and enhancing visibility throughout procedures, thereby having an immediate and direct effect on the comfort of the dentist and the quality of patient care.

Conventional dental chairs frequently exhibit back and neck support deficiencies, resulting in dentists experiencing discomfort, fatigue, and an elevated susceptibility to musculoskeletal disorders (MSDs). In comparison to dentists who utilized ergonomic chairs with lumbar support, those who utilized non-ergonomic chairs reported a substantially higher incidence of lower back pain (LBP), according to the study. LBP has the potential to exert a substantial influence on performance, resulting in diminished concentration, decreased output, and possible enduring health ramifications for dentists. Contemporary ergonomic chairs have headrests, lumbar support, and adjustable positions, all contributing to enhanced comfort and reduced postural strain during extended tasks. Research has shown that by incorporating ergonomic interventions into dental work environments, the prevalence of MSDs among dentists can be reduced by as much as 50 percent (Hosseini, 2019).

Sufficient and modifiable illumination is indispensable for precise observation throughout dental procedures. Inadequate illumination may result in symptoms such as eyestrain, fatigue, and impaired vision, which may escalate the likelihood of committing mistakes (Cruz et al., 2018). Contemporary dental apparatus incorporates high-intensity LED lighting that is movable and adjustable according to the procedure and the dentist’s inclinations. Increased visibility makes it easier to work more precisely and reduces eye strain, a common complaint among dentists using conventional illumination systems (Shah et al., 2020).

Conventional dental practices depend on the dentist’s unaided vision, which may impede accuracy when performing complex duties. Magnification loupes improve your view of the oral cavity, which makes it easier to use instruments correctly and reduces the chance of making mistakes that come from not being able to see well enough. Research has demonstrated that using magnification loupes in dentistry, specifically during intricate procedures, can substantially enhance treatment outcomes (Eichenberger et al., 2018).

Although engineering controls provide considerable advantages, they are not without fault. The initial investment necessary to implement ergonomic improvements and worries about compatibility with older equipment may impede some practices. In addition, engineering controls may need to comprehensively address cognitive factors such as decision-making fatigue during complex procedures, as their primary focus is biomechanical limitations.

Human Performance Optimization (HPO)

The goal of HPO in dentistry is to maximize practitioners’ physical and mental capacities to achieve optimal performance throughout treatments (Hosseini, 2019). This strategy targets cognitive limits that can occur during complex dental treatments by using various training techniques to improve decision-making under pressure, fill in knowledge gaps, and increase abilities.

Static models and theoretical knowledge are frequently used in traditional dental education. Simulation-based training, which uses mannequins and virtual reality (VR) simulators to create realistic environments where practitioners can practice complex operations securely, fills this gap (Higgins et al., 2020). A dentist, for example, can practice implant placement using a virtual reality simulator, where they will face a variety of simulated scenarios that match real-world events, such as unexpected bleeding or anatomical differences (Huang et al., 2023). This makes it possible to hone technical skills, cultivate the capacity to make crucial decisions under duress and pinpoint areas that still need work. Research has demonstrated that dental simulation-based training can significantly enhance technical proficiency and psychomotor performance, especially for intricate procedures requiring high accuracy.

Skills laboratories offer designated areas for honing particular methods and approaches. This promotes proficiency and confidence before dealing with patients by enabling dentists to develop their abilities in a controlled environment (Hosseini, 2019). Through pairing more seasoned dentists with less seasoned colleagues, mentoring programs offer advice, exchange best practices, and promote an environment where learning never stops. Mentoring can help close knowledge gaps in certain areas, such as treatment planning or material selection, improve critical thinking during complex operations that call for last-minute adjustments, and boost overall performance (Higgins et al., 2020).

HPO provides a focused method for resolving cognitive impairments that may affect performance during procedures. Ongoing skill development evaluations, specialized instructors, and significant training time are necessary to implement complete HPO programs (Higgins et al., 2020). Furthermore, HPO might only partially address biomechanical limitations associated with specific dental procedures, such as spending much time in uncomfortable positions. These issues might be resolved by using supplementary solutions like ergonomic engineering.

Cognitive Ergonomic Assessment

According to Khani and Jazani et al. (2015), a cognitive ergonomic assessment determines possible mistake spots resulting from cognitive constraints and assesses the cognitive demands of dental procedures. This approach’s strategies maximize workflow and decision-making processes, directly targeting elements that can impair performance, such as mental exhaustion and divided attention.

Several things competing for the dentist’s attention might be identified as areas of cognitive overload by analyzing the workflow of dental operations as they usually occur. For example, a dentist may have to concentrate on irrigation, instruments, and maintaining a sterile area simultaneously during a root canal surgery. Reducing cognitive load and improving focus on crucial phases like canal navigation can be achieved by streamlining processes and assigning dental assistants mundane chores like suctioning or tool cleaning (Schulte et al., 2018). Outlining essential steps in order of importance and reducing disruptions during processes are two more ways to improve efficiency and productivity.

Standardizing checklists and protocols can offer a clear structure for different dental operations, especially for practitioners with less experience. By serving as cognitive aids, these technologies lessen the need for complicated process memorization and lower the possibility that tiredness or cognitive overload may cause one to miss an important step. Research indicates that implementing checklists in dentistry can effectively minimize omission mistakes, especially in intricate processes involving several phases (Christman et al., 2014).

Dentists can benefit significantly from integrated treatment planning and computer-aided diagnostic (CAD) tools while making decisions. These systems can evaluate patient data, make treatment recommendations based on research-supported guidelines, and offer visual assistance such as 3D models or radiographic overlays. Informed decision-making is supported, particularly in complicated circumstances, due to reduced cognitive load related to information processing and analysis (Niemiec, 2019).

Addressing cognitive limits related to dentistry directly benefits cognitive ergonomic assessment. However, implementing new standards could mean paying for technological integration, overcoming some practitioners’ aversion to change, and adjusting to workflow disturbances during the early deployment (Khani Jazani et al., 2015). Furthermore, these approaches could not adequately address the biomechanical limitations of specific operations or lessen the weariness brought on by extended standing or awkward postures.

Human Automation Integration (HAI)

Human automation integration, or HAI, aims to maximize how automated technology and dentists communicate in dental practice environments. By utilizing technology improvements, this integration seeks to increase accuracy and efficiency and lessen dental fatigue (Schulte et al, 2018). Here are a few well-known instances of HAI in dentistry:

Conventional crown and bridge construction entails labour-intensive manual methods prone to human mistakes (Zhang et al., 2018). By combining digital impressions with computer-aided design software and automated milling equipment, CAD/CAM technology simplifies this procedure. This reduces human error and patient chair time by enabling the manufacture of highly accurate and efficient restorations.

Researchers are looking for robotic arms that could help dentists by holding equipment or pulling back soft tissues, among other specialized jobs. Robotic assistants are still in the early stages of research, but they have the potential to relieve dentists’ physical strain during treatments, especially those that require extended, awkward postures (Liu et al., 2023). This promotes dentist focus during the treatment, lessens fatigue, and improves ergonomics.

Even though HAI has several advantages, specific implementation-related issues must be resolved. Research has indicated that using CAD/CAM technology can effectively mitigate the mistakes linked to conventional crown and bridge manufacturing processes (Zhang et al., 2018). Furthermore, by automating procedures that typically call for a dental assistant, robotic assistance can increase procedural efficiency and free the dentist to concentrate on more important details. More reliance on automation may cause dentists to get complacent and make acquiring or retaining critical manual skills more challenging. In the event that robotic support is not available or fails, it is vital to remain proficient in traditional approaches (Yansane et al., 2020).

Dentists must have faith in the capabilities and constraints of automated technologies for effective human-automation collaboration. These systems’ decision-making procedures might be opaque, which can harm situational awareness and trust. To ensure dentists understand how to work with these technologies most effectively, it is essential to have continuing training and communicate clearly about automation’s function (Yansane et al., 2020).

Conclusion

In order to improve human performance in dentistry, a multimodal strategy that considers limits related to cognition, physiology, and biomechanics is needed. Synergistic implementation is recommended for engineering controls, HPO, and cognitive ergonomic evaluation, as they each target distinct restrictions. Further performance optimization possibilities are provided by the incorporation of Human Automation incorporation (HAI). However, successful dentist-automation cooperation necessitates careful consideration of human factors. Dental offices may increase performance, guarantee patient safety, and provide the best possible care by implementing a complete strategy that uses these developments. Prospects for future developments in dentist-centric automation technologies and HPO research are promising for additional improvements in performance optimization in dental practices.

References 

Christman, A., Schrader, S., John, V., Zunt, S., Maupome, G., & Prakasam, S. (2014). Designing a safety checklist for dental implant placement: a Delphi study. The Journal of the American Dental Association145(2), 131-140.

Cruz, A. D., Castro, M. C., Aguiar, M. F., Guimarães, L. S., & Gomes, C. C. (2018). Impact of room lighting and image display device in the radiographic appearances of the endodontic treatments. Dentomaxillofacial Radiology47(5), 20170372.

Eichenberger, M., Biner, N., Amato, M., Lussi, A., & Perrin, P. (2018). Effect of magnification on the precision of tooth preparation in dentistry. Operative dentistry43(5), 501-507.

Higgins, D., Hayes, M., Taylor, J., & Wallace, J. (2020). A scoping review of simulation-based dental education. MedEdPublishp. 9.

Hosseini, A., Choobineh, A., Razeghi, M., Pakshir, H. R., Ghaem, H., & Vojud, M. (2019). Ergonomic assessment of exposure to musculoskeletal disorders risk factors among dentists of Shiraz, Iran—Journal of Dentistry20(1), 53.

Huang, Y., Hu, Y., Chan, U., Lai, P., Sun, Y., Dai, J., … & Yang, X. (2023). Student perceptions toward virtual reality training in dental implant education. PeerJ11, e14857.

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Khan, R., Ahmad, F., & Merchant, M. S. (2017). Prevalence of work-related musculoskeletal disorders (MSD) among dentists. Int J Contemp Med Res483(5), 77-83.

Liu, L., Watanabe, M., & Ichikawa, T. (2023). Robotics in dentistry: A narrative review. Dentistry Journal11(3), 62.

Niemiec, B. (2019). Oral radiology and imaging. Wiggs’s Veterinary Dentistry: Principles and Practice, pp. 41–61.

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Yansane, A., Tokede, O., Walji, M., Obadan-Udoh, E., Riedy, C., White, J., & Kalenderian, E. (2021). Burnout, engagement, and dental errors among US dentists. Journal of Patient Safety17(8), e1050-e1056.

Zhang, R., Ding, Q., Sun, Y., Zhang, L., & Xie, Q. (2018). Assessment of CAD-CAM zirconia crowns was designed using two different methods: A self-controlled clinical trial, The Journal of Prosthetic Dentistry120(5), 686–692.

 

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