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A clinical decision support system (CDSS) is a health information technology that provides clinicians, staff, patients, and other individuals with knowledge and person-specific information to help health and health care. CDSS encompasses a variety of tools to enhance decision-making in the clinical workflow.
HRHIS is a human resource for health information system for management of human resources for health developed by University of Dar es Salaam college of information and communication technology, Department of Computer Science and Engineering, for Ministry of Health and Social Welfare (Tanzania) and funded by the Japan International Cooperation ...
A workflow management system (WfMS or WFMS) provides an infrastructure for the set-up, performance, and monitoring of a defined sequence of tasks arranged as a workflow application. International standards
In healthcare, the flow of a patient between healthcare professionals is considered as a workflow - with activities that include all kinds of diagnostic or therapeutic treatments. The workflow is considered as a case, and workflow management in healthcare is to handle these cases. Case handling is orthogonal to content-oriented workflows.
A workflow management system (WfMS) is a software system for setting up, performing, and monitoring a defined sequence of processes and tasks, with the broad goals of increasing productivity, reducing costs, becoming more agile, and improving information exchange within an organization. [19]
Pegasus, an open-source scientific workflow management system [9] Pipeline Pilot, graphical programming with many tools to address Cheminformatics workflows [10] Swift parallel scripting language, a scripting language with many of the capabilities of scientific workflow systems built-in. VisTrails, a scientific workflow system developed in Python
With a large number of bioinformatics workflow systems to choose from, [13] it becomes difficult to understand and compare the features of the different workflow systems. . There has been little work conducted in evaluating and comparing the systems from a bioinformatician's perspective, especially when it comes to comparing the data types they can deal with, the in-built functionalities that ...
Typically, scientific workflow systems initially present a steep learning challenge as all their features and complexities are built on in addition to the actual analysis. However, the standards and abstraction imposed by workflow systems ultimately improve the traceability of analysis steps, which is particularly relevant when collaborating on ...
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