Introduction The clinical data is increasing at a considerably higher rate than the capacity of healthcare system and clinicians to manage this data. Digital tools such as decision support systems (CDSS) provide opportunities for evidence-based patient care by intelligently filtering presenting information required making point care. Despite success pilot projects, CDSS have had limited impleme...

Ten years ago, the US Institute of Medicine (IOM) called for a massive redesign of the healthcare delivery system.(Committee on Quality of Health Care in America, 2001) Today it is clear that one of the goals, the nationwide use of an electronic medical record (EMR) by 2010, has failed to be reached as the process of adoption has been slow. Some may consider an EMR as a final destination, altho...

In this paper we propose the use of semantic web services to achieve a universal clinical decision support system (CDSS). Our goal is to develop a semi-automated approach to discover, select and compose CDSSs available as web services. Ontologies and tools support is necessary to achieve this goal. We describe similar efforts for ontologies and tools development and explain how our work is diff...

CONTEXT Clinical decision support systems (CDSS) are becoming increasingly common in medical practice. OBJECTIVE To assess utilization, level of interest, and potential barriers to implementation of CDSS among physicians providing inpatient care in Wisconsin. DESIGN AND PARTICIPANTS A Web-based survey consisting of 20 questions e-mailed to 5783 members of the Wisconsin Medical Society. RE...

BACKGROUND Many hospital departments have implemented small clinical departmental systems (CDSs) to collect and use patient data for documentation as well as for other department-specific purposes. As hospitals are implementing institution-wide electronic patient records (EPRs), the EPR is thought to be integrated with, and gradually substitute the smaller systems. Many EPR systems however fail...

INTRODUCTION The identification of key factors influencing responses to prompts and reminders within a computer decision support system (CDSS) has not been widely studied. The aim of this study was to evaluate why clinicians routinely answer certain prompts while others are ignored. METHODS We utilized data collected from a CDSS developed by our research group--the Child Health Improvement th...

Introduction Although a number of researchers have considered the positive potential of Clinical Decision Support System (CDSS), they did not consider that patients' attitude which leads to active treatment strategies or HbA1c targets. Materials and Methods We adopted the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) published to propose an ...

The success of Clinical Decision Support Systems (CDSS) greatly depends on its capability of being integrated in Health Information Systems (HIS). Several proposals have been published up to date to permit CDSS gathering patient data from HIS. Some base the CDSS data input on the HL7 reference model, however, they are tailored to specific CDSS or clinical guidelines technologies, or do not focu...

BACKGROUND The ideal method to encourage uptake of clinical guidelines in hospitals is not known. Several strategies have been suggested. This study evaluates the impact of academic detailing and a computerised decision support system (CDSS) on clinicians' prescribing behaviour for patients with community acquired pneumonia (CAP). METHODS The management of all patients presenting to the emerg...

Clinical Decision Support Systems (CDSS) are considered essential tools of evidence-based medicine. These systems provide physicians, caregivers and also patients with clinical knowledge needed and patient or disease specific information to help them make effective decisions that would enhance patient care and improve clinical outcomes. The lack of well-described success factors is the main cha...