Developing decision support systems in clinical bioinformatics

Vitali Sintchenko; Enrico Coiera

doi:10.1007/978-1-60327-148-6_18

Developing decision support systems in clinical bioinformatics

Methods Mol Med. 2008:141:331-51. doi: 10.1007/978-1-60327-148-6_18.

Authors

Vitali Sintchenko¹, Enrico Coiera

Affiliation

¹ Centre for Infectious Diseases and Microbiology-Public Health, Western Clinical School, The University of Sydney, New South Wales, Australia.

PMID: 18453098
DOI: 10.1007/978-1-60327-148-6_18

Abstract

There is a growing demand for tools to support clinicians utilize genomic results generated by molecular diagnostic and cytogenetic methods in support of their decision-making. This chapter reviews existing experience and methods for the design, implementation and evaluation of clinical bioinformatics electronic decision support systems (EDSS). It provides a roadmap for identifying decision tasks for automation and selecting optimal tools for building task-specific systems. Key success factors for EDSS implementation and evaluation are also outlined.

MeSH terms

Algorithms
Computational Biology / methods*
Databases, Factual
Decision Support Systems, Clinical*
Diagnosis, Computer-Assisted / methods
Evaluation Studies as Topic
Pattern Recognition, Automated