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What is Clinical Decision Support Systems (CDSS)

Handbook of Research on Information Technology Management and Clinical Data Administration in Healthcare
Software designed to assist the healthcare practitioner in making appropriate choices for patient care.
Published in Chapter:
Anesthesia Information Management Systems (AIMS)
Loren Riskin (Duke University School of Medicine, USA), Christoph Egger-Halbeis (Stanford University School of Medicine, USA), and Daniel Riskin (Stanford University School of Medicine, USA)
DOI: 10.4018/978-1-60566-356-2.ch029
Abstract
This chapter discusses the critical role of anesthesia information management systems (AIMS) in clinical tracking and operating room information management. It begins by reviewing the history and implementation of such systems and examines their current abilities and utilities. The current known benefits of AIMS, as documented by peer-reviewed literature, are examined. Possible additional benefits, both future and current, and the potential role of AIMS in future healthcare information management are discussed. Though AIMS vary greatly between individual systems and will continue to evolve over time, this chapter aims to highlight fundamental system features. The goal of this chapter is to broaden understanding of AIMS and their clinical utility, as they have an essential part of modern operative care.
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More Results
Integration of Clinical and Genomic Data for Decision Support in Cancer
Entities that intend to support clinical personnel in medical decision-making tasks. In more technical terms, CDSSs are active knowledge systems that use two or more items of patient data to generate case-specific advice.
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Electronic Health Records (EHR) and Clinical Decision Support Systems: Integrating AI Solutions
Computer programmes that assist in decision-making in healthcare settings, interpreting clinical data and offering advice to medical personnel.
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Clinical Decision Making by Emergency Room Physicians and Residents
Software that assists clinicians in making health care decisions.
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Decision Support Systems for Cardiovascular Diseases Based on Data Mining and Fuzzy Modelling
Computer based methods that aim to assist clinicians in decision making. The core of CDSSs is an inference engine that can generate case specific advice based on medical data.
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