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Table 2 Data items for data charting

From: Diagnosis of Rare Diseases: a scoping review of clinical decision support systems

Data item Description
Objective and background of the publication/project The reader should identify the relevant key message and the objective of the publication or project. This should give the clinician or researcher of this publication an overview of which specific CDSSs for RDs are available and why the project and publication was developed.
System or project name The “System or project name” is the name of the RDs CDSS, the related project name or the name of the first author.
Functionality We define “Functionality” as the technology that performs the decision support (e.g. machine learning). The goal is to show the clinicians or researchers how the decision support is derived.
Type of clinical data “Type of clinical data” indicates whether the CDSS uses clinical routine data (e.g. lab, reports and documentation) or phenotypic and genetic data.
Rare Diseases covered “Rare Diseases covered” is defined as which diseases are covered by the CDSS.
Development status “Development status” describes if the CDSS is a clinical prototype or a fully developed system.
System availability “System availability” describes whether the system is available for download or whether online usage is possible, as well as any access restrictions.
Data entry and integration “Data integration” describes whether data can be entered manually or transferred automatically into the CDSS (e.g. via file upload or REST-API).
Last software update “Last software update” reports when the CDSS was last updated to a new software version.
Clinical usage “Clinical usage” reports if there are any information about CDSS available regarding clinical usage (e.g. amount of patient cases, amount of users, participating hospitals)?