Developing decision support systems in clinical bioinformatics.
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.
Sintchenko
Vitali
V
Centre for Infectious Diseases and Microbiology-Public Health, Western Clinical School, The University of Sydney, New South Wales, Australia.
Coiera
Enrico
E
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D005069:Evaluation Studies as Topic; D010363:Pattern Recognition, Automated