Literature DB >> 15217078

Clinical decision support systems: perspectives in dentistry.

Eneida A Mendonça1.   

Abstract

Clinical decision-support systems (CDSSs) are computer programs that are designed to provide expert support for health professionals making clinical decisions. The goal of these systems is to help health professionals analyze patient data and make decisions regarding diagnosis, prevention, and treatment of health problems. This article discusses the characteristics of such systems, addresses the challenges in developing them, identifies potential barriers for their use in clinical practice, and provides perspectives for the future.

Entities:  

Mesh：

Year:  2004        PMID： 15217078

Source DB:  PubMed          Journal:  J Dent Educ        ISSN： 0022-0337            Impact factor:   2.264


  10 in total

1.  Clinical computing in general dentistry.

Authors:  Titus K L Schleyer; Thankam P Thyvalikakath; Heiko Spallek; Miguel H Torres-Urquidy; Pedro Hernandez; Jeannie Yuhaniak
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

2.  Improving treatment decisions from radiographs: effect of a decision aid.

Authors:  Philip Anthony Mileman; Wilbert B van den Hout
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-05-13       Impact factor: 2.924

3.  Toward Implementing Primary Care at Chairside: Developing a Clinical Decision Support System for Dental Hygienists.

Authors:  Stefanie L Russell; Ariel Port Greenblatt; Danni Gomes; Shirley Birenz; Cynthia A Golembeski; Donna Shelley; Matthew McGuirk; Elise Eisenberg; Mary E Northridge
Journal:  J Evid Based Dent Pract       Date:  2015-08-28       Impact factor: 5.267

4.  How information systems should support the information needs of general dentists in clinical settings: suggestions from a qualitative study.

Authors:  Mei Song; Heiko Spallek; Deborah Polk; Titus Schleyer; Teena Wali
Journal:  BMC Med Inform Decis Mak       Date:  2010-02-02       Impact factor: 2.796

5.  Dental caries diagnosis in digital radiographs using back-propagation neural network.

Authors:  V Geetha; K S Aprameya; Dharam M Hinduja
Journal:  Health Inf Sci Syst       Date:  2020-01-03

Review 6.  Developments, application, and performance of artificial intelligence in dentistry - A systematic review.

Authors:  Sanjeev B Khanagar; Ali Al-Ehaideb; Prabhadevi C Maganur; Satish Vishwanathaiah; Shankargouda Patil; Hosam A Baeshen; Sachin C Sarode; Shilpa Bhandi
Journal:  J Dent Sci       Date:  2020-06-30       Impact factor: 2.080

Review 7.  Current state of dental informatics in the field of health information systems: a scoping review.

Authors:  Ballester Benoit; Bukiet Frédéric; Dufour Jean-Charles
Journal:  BMC Oral Health       Date:  2022-04-19       Impact factor: 3.747

8.  Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications.

Authors:  Jonas Bianchi; Antonio Ruellas; Juan Carlos Prieto; Tengfei Li; Reza Soroushmehr; Kayvan Najarian; Jonathan Gryak; Romain Deleat-Besson; Celia Le; Marilia Yatabe; Marcela Gurgel; Najla Al Turkestani; Beatriz Paniagua; Lucia Cevidanes
Journal:  Semin Orthod       Date:  2021-05-19       Impact factor: 1.340

9.  An ontology-driven, case-based clinical decision support model for removable partial denture design.

Authors:  Qingxiao Chen; Ji Wu; Shusen Li; Peijun Lyu; Yong Wang; Miao Li
Journal:  Sci Rep       Date:  2016-06-14       Impact factor: 4.379

Review 10.  Using big data to promote precision oral health in the context of a learning healthcare system.

Authors:  Joseph Finkelstein; Frederick Zhang; Seth A Levitin; David Cappelli
Journal:  J Public Health Dent       Date:  2020-01-06       Impact factor: 1.821
  10 in total

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