OBJECTIVE: To construct a clinical decision support system (CDSS) for undergoing surgery based on domain ontology and rules reasoning in the setting of hospitalized diabetic patients. MATERIALS AND METHODS: The ontology was created with a modified ontology development method, including specification and conceptualization, formalization, implementation, and evaluation and maintenance. The Protégé-Web Ontology Language editor was used to implement the ontology. Embedded clinical knowledge was elicited to complement the domain ontology with formal concept analysis. The decision rules were translated into JENA format, which JENA can use to infer recommendations based on patient clinical situations. RESULTS: The ontology includes 31 classes and 13 properties, plus 38 JENA rules that were built to generate recommendations. The evaluation studies confirmed the correctness of the ontology, acceptance of recommendations, satisfaction with the system, and usefulness of the ontology for glycemic management of diabetic patients undergoing surgery, especially for domain experts. CONCLUSIONS: The contribution of this research is to set up an evidence-based hybrid ontology and an evaluation method for CDSS. The system can help clinicians to achieve inpatient glycemic control in diabetic patients undergoing surgery while avoiding hypoglycemia.
OBJECTIVE: To construct a clinical decision support system (CDSS) for undergoing surgery based on domain ontology and rules reasoning in the setting of hospitalized diabeticpatients. MATERIALS AND METHODS: The ontology was created with a modified ontology development method, including specification and conceptualization, formalization, implementation, and evaluation and maintenance. The Protégé-Web Ontology Language editor was used to implement the ontology. Embedded clinical knowledge was elicited to complement the domain ontology with formal concept analysis. The decision rules were translated into JENA format, which JENA can use to infer recommendations based on patient clinical situations. RESULTS: The ontology includes 31 classes and 13 properties, plus 38 JENA rules that were built to generate recommendations. The evaluation studies confirmed the correctness of the ontology, acceptance of recommendations, satisfaction with the system, and usefulness of the ontology for glycemic management of diabeticpatients undergoing surgery, especially for domain experts. CONCLUSIONS: The contribution of this research is to set up an evidence-based hybrid ontology and an evaluation method for CDSS. The system can help clinicians to achieve inpatient glycemic control in diabeticpatients undergoing surgery while avoiding hypoglycemia.
Authors: I Sim; P Gorman; R A Greenes; R B Haynes; B Kaplan; H Lehmann; P C Tang Journal: J Am Med Inform Assoc Date: 2001 Nov-Dec Impact factor: 4.497
Authors: Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes Journal: JAMA Date: 2005-03-09 Impact factor: 56.272
Authors: Alexandr Uciteli; Juliane Neumann; Kais Tahar; Kutaiba Saleh; Stephan Stucke; Sebastian Faulbrück-Röhr; André Kaeding; Martin Specht; Tobias Schmidt; Thomas Neumuth; Andreas Besting; Dominik Stegemann; Frank Portheine; Heinrich Herre Journal: J Biomed Semantics Date: 2017-09-06