In the chapter we are presenting the theoretical background, state of the art and modern research trends of Clinical decision support systems (CDSS). The challenges for success are derived and our experience is described with the presentation of a good practice example of employing CDSS in telemedicine. CDSS systems are increasingly often integrated into telemedicine clinical practice. In addit...

Objective: The Clinical Decision Support System (CDSS) for drug prescriptions was developed by integrating the computerized physician order entry (CPOE) system to support doctors and pharmacists in making correct decisions on prescribing drugs in line with the prescription guidelines by the Health Insurance Review Agency (HIRA). The objective of this study was to evaluate the performance of the...

PURPOSE Computerized clinical decision support systems (CDSSs) for intensive insulin therapy (IIT) are increasingly common. However, recent studies question IIT's safety and mortality benefit. Researchers have identified factors influencing IIT performance, but little is known about how workflow affects computer-based IIT. We used ethnographic methods to evaluate IIT CDSS with respect to other ...

Background: Clinical Decision Support System is an integral application in modern healthcare practice to assist the clinicians with patient information and domain knowledge during patient care. Purpose: Assessment of perception and Identification of expectation are the prerequisite for the implementation of Clinical Decision Support System (CDSS). Methodology: A descriptive study was conducted ...

Signal and imaging investigations are currently a basic step of the diagnostic, prognostic and follow-up processes of heart diseases. Besides, the need of a more efficient, cost-effective and personalized care has lead nowadays to a renaissance of clinical decision support systems (CDSS). The purpose of this paper is to present an effective way to achieve a high-level integration of signal and ...

One of the proposals for improving clinical practice is to introduce computerised decision support systems (CDSS) and integrate these with electronic medical records. Accordingly, this study sought to systematically review evidence on the effectiveness of CDSS in the management of depression. A search was performed in Medline, EMBASE and PsycInfo, in order to do this. The quality of quantitativ...

Earlier on, a conceptual design on the real-time clinical decision support system (rt-CDSS) with data stream mining was proposed and published. The new system is introduced that can analyze medical data streams and can make real-time prediction. This system is based on a stream mining algorithm called VFDT. The VFDT is extended with the capability of using pointers to allow the decision tree to...

Timely vaccinations decrease a child's risk of contracting vaccine-preventable disease and prevent disease outbreaks. Childhood immunization schedules may represent the only clinical guideline for which there is official national consensus. So an immunization clinical decision support system (CDSS) is a natural application. However, immunization schedules are complex and change frequently. Main...

Health care organizations are turning to electronic clinical decision support systems (CDSSs) to increase quality of patient care and promote a safer environment. A CDSS is a promising approach to the aggregation and use of patient data to identify patients who would most benefit from interventions by pharmacy clinicians. However, there are limited published reports describing the impact of CDS...

Telehealth holds the promise of improved consistency and fast and equal access to care, and will have great impact on future care. To enhance its quality and safety, computerized decision support systems (CDSS) have been launched. This commentary focuses specifically on the impact of telehealth and CDSS on diabetes patient management. Ideally, clinical information should be linked to evidence b...