Evidence Based Research     ead: Evidence

Clinical Decision Support Systems

Hartpury University and Hartpury College

Data Science and Big Data

Healthcare and Research

Clinical Decision Support System (CDSS) | Report

This proposal discusses the use of information technology system as a strategy to reduce medication errors as well as save health costs. It also highlights the expected outcomes of implementing the system.

Medication Errors and Information Technology System in Health Care

Medication errors leading to fatal outcomes among patient pool account for the third largest death toll among US population. Learn how information technology systems can help reduce medication errors and save healthcare costs.

Change Proposal

Communication

This document discusses the evaluation of a novel Clinical Decision Support System (CDSS) for managing critical symptom change in hospitalized patients. The evaluation includes usability design and validation, user interface and workflow evaluation, and the role of frontline nurses in symptom evaluations and rapid response interventions. The document also discusses the cognitive design of the user interface and the evaluation methodology used in the study.

Texas State University

Design and Creativity

Calculus and Analysis

Human Factors in System Design

Human Computer Interaction

This article discusses the evaluation of a bedside nursing clinical decision support system (CDSS) in terms of usability and effectiveness. It explores the importance of human factors in CDSS implementation and the role of frontline nurses in symptom evaluation and rapid response interventions. The article also highlights the need for a tailored CDSS design for nurses and the cognitive design of user interfaces. Overall, it provides insights into the evaluation methodology and usability requirements for CDSS in healthcare settings.

Innovative College of Science and Technology 

Human Factors in System Design: Evaluation of Bedside Nursing CDS System

This document discusses the change proposal for reducing medication errors in healthcare organizations with the help of information technology. It includes the logic model, initiation model, dissemination plan, and references.

Clinical Decision Support Systems