BACKGROUND: in dentistry, clinical problems could be resolved using many therapeutic approaches that may results in very different therapies. In order to choose the best option, a good evaluation of therapy long-term survival and success rate is mandatory'. The routine use of a decision support analysis software is nowadays limited due to the lack of software's flexibility especially when a variety of possible therapeutic option are present. The aim of this research was to develop a new algorithm model for a Decision Support System software to give diagnosis support in dentistry.METHODS: Beta tests were designed to study the computer software in different clinical situations based on clinical data. The therapeutic options can be conservative/endodontic or extractive.'prosthetic therapies. In two of clinical situation selected could be possible to choose both therapies.RESULTS: in clinical situations tested, the DDS software correctly identified the several therapeutic options. When multiple treatments were possible the beta test showed an output mask that correctly showed a range of options with their corresponding survival and success rate.CONCLUSIONS: The software architecture proposed by the authors is technically feasible, can support the clinician choices based on scientific evidence and up-to-date references and gain informed consent based on data easily understandable for the patient.

A new software architecture proposal for an evidence-based Decision Support System in dentistry

Lo Giudice, Giuseppe
Primo
;
Lizio, Angelo S
Secondo
;
Lo Giudice, Roberto
Ultimo
2021

Abstract

BACKGROUND: in dentistry, clinical problems could be resolved using many therapeutic approaches that may results in very different therapies. In order to choose the best option, a good evaluation of therapy long-term survival and success rate is mandatory'. The routine use of a decision support analysis software is nowadays limited due to the lack of software's flexibility especially when a variety of possible therapeutic option are present. The aim of this research was to develop a new algorithm model for a Decision Support System software to give diagnosis support in dentistry.METHODS: Beta tests were designed to study the computer software in different clinical situations based on clinical data. The therapeutic options can be conservative/endodontic or extractive.'prosthetic therapies. In two of clinical situation selected could be possible to choose both therapies.RESULTS: in clinical situations tested, the DDS software correctly identified the several therapeutic options. When multiple treatments were possible the beta test showed an output mask that correctly showed a range of options with their corresponding survival and success rate.CONCLUSIONS: The software architecture proposed by the authors is technically feasible, can support the clinician choices based on scientific evidence and up-to-date references and gain informed consent based on data easily understandable for the patient.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11570/3208911
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