Abstract:
Diagnostic errors represent a significant source of
harm throughout healthcare professions. Similarly, in dentistry,
these could lead to missed diagnoses, wrong or unnecessary therapies,
loss of patient trust, and even life-threatening complications.
Therefore, it is important to enhance the cognitive and kinetic
skills of healthcare professionals to minimize or avoid errors
that could happen during patient management. However, in
traditional in-class clinical settings, achieving optimum training
could be limited due to the unavailability of an adequate number
of clinical supervisors, fewer resources, lack of opportunities for
detailed attention; constructive feedback and playback systems.
In contrast, Virtual patient simulators, which are computerbased
software programs provide a simulated environment where
health professionals can practice, learn, and study various clinical
scenarios and procedures repeatedly until the required skills are
gained. Yet, such systems may lack realism and are not tailormade
to support educational approaches such as problem-based
learning with increased guided practice at a relatively low cost.
Hence, this work proposes a web-based virtual patient simulator
as a supportive tool to further help students to grow and advance
the required diagnostic skills in a virtual environment. The
system enables students to gather the patient’s medical history,
conduct physical examinations, request and analyze laboratory
and imaging tests and ultimately make informed diagnostic
and treatment decisions. The performance of the system was
compared with the traditional teaching method and statistical
data demonstrated similar performance as with the traditional
method.
Citation:
A. V. H. Dharmathilaka, H. A. D. T. T. Jayathilaka, K. H. H. C. Madushanki, U. Jayasinghe, R. G. Ragel and D. L. Bandara, "Virtual Patient Simulator for Skill Training in Dentistry and Investigation of its Effectiveness," 2023 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, 2023, pp. 195-200, doi: 10.1109/MERCon60487.2023.10355407.