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REVIEWS
Volume 32, Number 4, 2019
Correspondence to:
Dr Mohammed Sayed
Department of Prosthetic
Dental Sciences
Jazan University College of
Dentistry
Jazan 45142, Saudi Arabia
Email: drsayed203@gmail.com
Submitted October 8, 2018;
accepted October 18, 2018.
©2019 by Quintessence
Publishing Co Inc.
Effectiveness of Clinical Decision Support
Systems for the Survival of Natural Teeth:
A Community Guide Systematic Review
Mohammed E. Sayed, BDS, MDS, PhD
Department of Prosthetic Dental Sciences, Jazan University College of Dentistry, Jazan, Saudi Arabia;
Rutgers School of Dental Medicine, Rutgers University, Newark, New Jersey, USA.
C
linical decision support systems (CDSS) are software that provide direct aid to
clinicians during the decision-making process
1
by retrieving patient character-
istics, assessing patient information, and utilizing a clinical knowledge base to
recommend possible treatment for the patient.
2,3
CDSS have been used in multiple
felds for over 50 years
4
and have proven to be a useful invention for the improve-
ment of clinical monitoring through computing.
5
CDSS can be divided into three cat-
egories: (1) focusing attention systems; (2) patient-specifc recommendation systems;
and (3) information management systems that critically analyze the information of
each patient.
6
CDSS are an effective information technology that could help cause
reduction in clinical errors and help clinicians make better decisions, thus resulting in
an increase in the overall quality and effciency of provided treatment.
7
Although the performance of the health care sector signifcantly improves with
the adoption of CDSS, professionals are often unwilling to adopt these technolo-
gies and to use them when performing diagnoses.
3
Physician acceptance of clinical
information technologies is necessary for the successful implementation of CDSS in a
hospital setting, so the outcomes and antecedents of professional autonomy have a
prominent impact on the adoption of CDSS.
8
Moreover, the increased integration of
supercomputing science in the feld of medicine is infuencing the knowledge-sharing
behavior of professionals and the conversion of data into knowledge; therefore, this
integration has become crucial for achieving precision in personalized patient care
and precision medicine.
9
These issues, which occur in both developed and underdeveloped countries, re-
quire immediate solutions. The implementation of CDSS can result in improved adher-
ence to clinical guidelines for the prevention of a number of diseases.
10
CDSS can also
prove to be an effective method for reducing analytical errors and for warning physi-
cians regarding potentially harmful drug interactions.
11
Moreover, the decision-making
Purpose: To assess the effectiveness of clinical decision support systems (CDSS) on the survival of natural
teeth. Materials and Methods: The PubMed, ERIC, Google Scholar, and Medline databases were searched
for full-text articles published between 2009 and 2018. Eight studies evaluating the use of CDSS for clinical
decision-making were included in the systematic review. Results: CDSS were an effective technique for
assisting clinicians in their daily practice. Conclusion: CDSS are effective and can be adopted in daily practice
to assist clinicians in handling cases that require sound knowledge of the principles associated with the
treatment. Int J Prosthodont 2019;32:333–338. doi: 10.11607/ijp.6162
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