OBJECTIVE To evaluate the accuracy of a computerized clinical decision-support system (CDSS) designed to support assessment and management of pediatric asthma in a subspecialty clinic. DESIGN Cohort study of all asthma visits to pediatric pulmonology from January to December, 2009. MEASUREMENTS CDSS and physician assessments of asthma severity, control, and treatment step. RESULTS Both th...

BACKGROUND Evaluation studies of clinical decision support systems (CDSS) have tended to focus on assessments of system quality and clinical performance in a laboratory setting. Relatively few studies have used field trials to determine if CDSS are likely to be used in routine clinical settings and whether reminders generated are likely to be acted upon by end-users. Moreover, such studies when...

OBJECTIVES The purpose of this study was to develop clinical decision support systems (CDSS) that are integrated with hospital information systems for the differential diagnosis of idiopathic pulmonary fibrosis (IPF). METHODS The integrated CDSS were validated and evaluated by physicians. Knowledge modeling for diagnosing IPF was performed by knowledge working groups, composed of radiologists...

One of the high-growing areas in medicine is research and development of advanced IT technologies for clinical decision support. Clinical decision support system (CDSS) must be able to store the necessary clinical data and also to analyze this data, and process and interpret the results for a specialist. This article is focused on interdisciplinary research and development challenges in develop...

A computerized Decision Support System (CDSS) can improve the adherence of the clinicians to clinical guidelines and protocols. Integrating it within the clinical workflow can reduce the workload of the physicians, and improve the acceptance of the system. The building of a prescriptive CDSS and its integration with a legacy cancer patient management system is the aim of the Oncocure project, w...

Coronary Heart Disease is a disease which is difficult to diagnose and is vey commonly identified only during the mortality of an individual. The World Health Organization (WHO) reported that 70 per cent deaths occur in subjects less than 70 years of age in India and in other developing countries. Since Coronary Heart Disease (CHD) is becoming an epidemic in India, there is a terrific need for ...

OBJECTIVES The use of clinical decision support systems (CDSS) can improve the overall safety and quality of health care delivery, but may also introduce machine-related errors. Recent concerns about the potential for CDSS to harm patients have generated much debate, but there is little research available to identify the nature of such errors, or quantify their frequency or clinical impact. M...

There is clear room for improvement in all existing clinical decision support systems (CDSS) to more closely meet the needs of their target users and work processes. Ongoing evaluation serves not just to document benefits, but also to provide feedback to the CDSS engineering process to create more usable and effective tools. This paper discusses the challenges of achieving evaluation data that ...

The decision on the most appropriate procedure to provide to the patients the best healthcare possible is a critical and complex task in Intensive Care Units (ICU). Clinical Decision Support Systems (CDSS) should deal with huge amounts of data and online monitoring, analyzing numerous parameters and providing outputs in a short real-time. Although the advances attained in this area of knowledge...