Year: 2024
Type: conference-paper
Abstract: This paper explores the conception, development, and real-world evaluation of a Clinical Decision Support System (CDSS) aimed at enhancing health-care decision-making.Utilizing the Drools Workbench for rule-based logic, a visual clinical flowchart, and seamless integration with Fast Healthcare Interoperability Resources (FHIR) input, the CDSS offers a robust solution for dynamic and evidence-based decision support.In this paper, we present a generalized method for creating complex CDSS using Drools Workbench.Our approach begins with original clinical guidelines, which are converted into clinical flowcharts and computer interpretable guidelines.We then perform a guideline reconciliation process on these computer interpretable guidelines to accommodate comorbidity requirements.Clinical concepts extracted from the reconciled guidelines are translated into Domain-Specific Language (DSL) files in Drools Workbench.Based on these DSL files and computer interpretable guidelines, we create a set of business processes that form a comprehensive CDSS for individual diseases.By running multiple CDSS within a single system, we develop a CDSS for comorbidities.Functional testing is conducted by both technical personnel and healthcare professionals to ensure that the output aligns with realworld practices.The innovation of this paper lies in presenting a more general method for creating CDSS with minimal programmer assistance, addressing not just a single disease but a range of diseases, with consideration of their comorbidities.
Authors: Chao Tong, Omid Pournik, Theodoros N.Arvanitis, Gokhan Yilmaz, Jessica Caballero Garcia, Araitz Largo Arana
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Funder: European Commission
OpenAlex ID: W4412808987