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Image and Signal Processing for Networked eHealth ApplicationsClinical Decision Support Systems for Remote and Commuting Clinicians

Image and Signal Processing for Networked eHealth Applications: Clinical Decision Support Systems... CHAP TE R 4 Clinical Decision Support Systems for Remote and Commuting Clinicians 4.1 INTRODUCTION This chapter presents a special branch of expert systems called clinical decision support systems (CDSSs). In general, defining what is and what is not a CDSS is not an easy task [1]. Still, one can generally say that the term generally refers to automated systems that process medical data such as medical examinations and provide estimated diagnoses [2]. The estimations are often based on the analysis of details that elute the human eye as well as large amounts of medical history that humans cannot possibly consider. Although such systems typically do not reach 100% success, which means that they cannot substitute the clinician, the input they provide is extremely helpful as an independent source of evidence concerning the correct diagnosis [3]. CDSSs have an augmented role in the framework of networked e-Health [4]. Clinicians in small-scale facilities located at remote and isolated locations, as well as clinicians providing their services at the site of events that require medical attention before transportation can be allowed, have to face an important handicap: they do not have access to the large medical knowledge bases, such as medical http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Image and Signal Processing for Networked eHealth ApplicationsClinical Decision Support Systems for Remote and Commuting Clinicians

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2006
ISBN
978-3-031-00481-0
Pages
17 –36
DOI
10.1007/978-3-031-01609-7_4
Publisher site
See Chapter on Publisher Site

Abstract

CHAP TE R 4 Clinical Decision Support Systems for Remote and Commuting Clinicians 4.1 INTRODUCTION This chapter presents a special branch of expert systems called clinical decision support systems (CDSSs). In general, defining what is and what is not a CDSS is not an easy task [1]. Still, one can generally say that the term generally refers to automated systems that process medical data such as medical examinations and provide estimated diagnoses [2]. The estimations are often based on the analysis of details that elute the human eye as well as large amounts of medical history that humans cannot possibly consider. Although such systems typically do not reach 100% success, which means that they cannot substitute the clinician, the input they provide is extremely helpful as an independent source of evidence concerning the correct diagnosis [3]. CDSSs have an augmented role in the framework of networked e-Health [4]. Clinicians in small-scale facilities located at remote and isolated locations, as well as clinicians providing their services at the site of events that require medical attention before transportation can be allowed, have to face an important handicap: they do not have access to the large medical knowledge bases, such as medical

Published: Jan 1, 2006

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