A decision-making model for implanting automatic internal cardiac defibrillators was developed to help providers offer a more effective decision-making process for better quality and cost-effective care.
Can a clinical decision support model improve the decision-making process for prescribing internal cardiac defibrillators?
A decision support model based on existing literature was developed to guide the cost-effective and appropriate prescription of internal cardiac defibrillators.
PURPOSE: Automatic internal cardiac defibrillators have various indications for placement. However, some patients may not fully benefit from this technology and the devices are expensive. Consequently, the aim of this paper is to describe a development model for clinical decision support to help providers offer their patients a more effective decision-making process. DESIGN/METHODOLOGY/APPROACH: A decision tree was built based on previous trials described in the cardiac literature. FINDINGS: A decision-making model for implanting these expensive but lifesaving devices is developed and a model for testing them (pre- and post-implantation) is described. PRACTICAL IMPLICATIONS: The model could be used to develop prospective trials. ORIGINALITY/VALUE: The paper demonstrates that the project's goal is better quality and cost-effective care.
Bloomfield et al. (Fri,) conducted a other in Indications for automatic internal cardiac defibrillators. Decision support model was evaluated. A decision-making model for implanting automatic internal cardiac defibrillators was developed to help providers offer a more effective decision-making process for better quality and cost-effective care.