Development and evaluation of a comprehensive clinical decision support taxonomy: comparison of front-end tools in commercial and internally developed electronic health record systems

Abstract

We developed and validated a comprehensive taxonomy of front-end CDS tools. A subsequent survey of commercial EHR vendors and leading healthcare institutions revealed a small core set of common CDS tools, but identified significant variability in the remainder of clinical decision support content.

Clinical calculators in hospital medicine: Availability, classification, and needs

“…A number of attempts to build taxonomies of Clinical Decision Support (CDS) systems and rule-based alerts were made [24,25]. However, the authors were focused on types (front end/back end) and major groups as benefit, domain, and type of intervention.…”

A Metrics Taxonomy and Reporting Strategy for Rule-Based Alerts

“…Existing taxonomies would not suffice because they do not readily map to a measurement framework. [4][5][6][7][8] We sought to generate metrics in sets rather than one by one to reduce the time and expense of developing and maintaining performance metrics for alerts.…”

“…There have been a number of clinical decision support and alert taxonomies developed for different purposes. [4][5][6][7][8] …”

Literature Recommendation to Support Clinical Diagnostic Decision — An Approach Based on Link Analysis in the Weighted Keywords Network

“…By now, it has been concluded that the intelligent diagnosis decision support systems have not been used widely, instead they often focused on the drug selection and prescription support [20], [21]. This current dilemma also contributes tremendously to the further development in this scholarly field.…”

“…Meantime, there are some scholars who point out that the effectiveness of clinical diagnosis decision support systems depends greatly on the degree of acceptance by physicians [19]. Wright, Sittig, Ash, Bates, Feblowitz, Fraser and Middleton [20], [21] think it should be worth more concerns that the corresponding management and governance pay a great role in the application and development of technology of the clinical diagnosis decision support.…”