Background: Clinician compliance with clinical guidelines in the treatment of patients with Hepatitis C (HCV) has been reported to be as low as 18.5%. Treatment is complex and patient compliance is often inconsistent thus, active clinician surveillance and support is essential to successful outcomes. A clinical decision support system (CDSS) embedded within an electronic health record can provi...

introduction: studies have indicated a global high prevalence of hospital malnutrition on admission and during hospitalization. clinical nutritional risk screen (cnrs) is a way to identify malnutrition and manage nutritional interventions. several traditional and non-computer based tools have been suggested for screening nutritional risk levels. the present study was an attempt to employ a comp...

A Physician’s decision-making skills are directly related to the patient’s positive outcomes. Therefore, a wealth of medical knowledge and clinical experience are key assets for a physician to have. The goal here is to use historical clinical data and relationships processed by Artificial Intelligence (AI) techniques to aid physicians in their decision making process. Presenting this informatio...

BACKGROUND Tobacco and alcohol use present multiplicative risk for aerodigestive cancers. Reducing alcohol consumption improves smoking cessation outcomes and reduces cancer risk. Risky alcohol consumption and smoking are often treated separately despite concurrent treatment potentially leading to better outcomes for each. However, no rapidly scalable program exists for combined interventions i...

BACKGROUND Clinician compliance with clinical guidelines in the treatment of patients with Hepatitis C (HCV) has been reported to be as low as 18.5%. Treatment is complex and patient compliance is often inconsistent thus, active clinician surveillance and support is essential to successful outcomes. A clinical decision support system (CDSS) embedded within an electronic health record can provid...

BACKGROUND A cloud-based clinical decision support system (CDSS) was implemented to remotely provide evidence-based guideline reminders in support of preventative health. Following implementation, we measured the agreement between preventive care reminders generated by an existing, local CDSS and the new, cloud-based CDSS operating on the same patient visit data. METHODS Electronic health rec...

In order to increase compliance with The Joint Commission's Congestive Heart Failure Core Measures, a rule based clinical decision support system (CDSS) was developed and deployed at a community hospital in our health system. We evaluated the performance of the CDSS in identifying patients with primary congestive heart failure (CHF)and identified problems encountered with its introduction. Perf...

A medication-related Clinical Decision Support System (CDSS) is an application that analyzes patient data to provide assistance in care processes. Despite its potential improve the clinical decision-making process, evidence shows clinicians do not always use CDSSs such a way their can be fully realized. This systematic literature review provides overview of frequently-reported barriers and faci...

Clinical Decision Support Systems (CDSS) are becoming commonplace. They are used to alert doctors about drug interactions, to suggest possible diagnostics and in several other clinical situations. One of the approaches to building CDSS is by using techniques from the Knowledge Discovery from Databases (KDD) area. However using KDD for the construction of the knowledge base used in such systems,...

Clinical Decision Support System (CDSS) has become the ultimate point of care for healthcare sectors to assist public in terms Medical care. Through this research work, we propose design and development a Web-based (We-CDSS) using Django framework with an aim make CDSS accessible both common people clinicians on computers mobile devices that integrates Predictive Analytics involving LWGMK-NN al...