Decision Support Systems in the Process of Improving Patient Safety

The chapter presents decision support systems in medicine, their basic principles, and structure. From the point of view of patient safety, the decision support systems can bring new unexpected sources of errors, which must be anticipated at the design, implementation, and validation stages. Nevertheless, a safe and easy-to-use system can greatly improve the quality of determining the diagnosis, prognosis, and therapy in healthcare. The authors of this chapter concentrate on the contribution of decision support systems to patient safety and on their potential to future contributions. A decision support system requires a user-friendly interface with the electronic health record and information system within the healthcare facility. The authors also present two examples of decision support systems from the genetics research.

[1]  Jana Zvárová,et al.  e3Health: Three Main Features of Modern Healthcare , 2011 .

[2]  M. Ortendahl,et al.  The New Subjective Medicine: Understanding the Patient’s Worry Improves Shared Decision Making and Increases Compliance , 2006, Medical Principles and Practice.

[3]  M Pfaff,et al.  Prediction of cardiovascular risk in hemodialysis patients by data mining. , 2004, Methods of information in medicine.

[4]  Kalina Jan,et al.  Highly Robust Statistical Methods in Medicai Image Analysis , 2012 .

[5]  J. H. van Bemmel The structure of medical informatics: Bibliography on educational courses at the Free University, Amsterdam , 1984 .

[6]  Joseph Tan Advancing Technologies and Intelligence in Healthcare and Clinical Environments: Breakthroughs , 2012 .

[7]  Jana Zvárová,et al.  On generalized entropies, Bayesian decisions and statistical diversity , 2007, Kybernetika.

[8]  R. Gustavsson,et al.  Decision Support by Visual Incidence Anamneses for Increased Patient Safety , 2011 .

[9]  Alexandre Gachet,et al.  A Decentralized Approach to Distributed Decision Support Systems , 2003, J. Decis. Syst..

[10]  Tobias Vollmar,et al.  Syndrome identification based on 2D analysis software , 2006, European Journal of Human Genetics.

[11]  C. McDonald,et al.  Computer Reminders to Implement Preventive Care Guidelines for Hospitalized Patients , 1996 .

[12]  Richard Smith What clinical information do doctors need? , 1996, BMJ.

[13]  Jan Kalina,et al.  Outlier detection by means of robust regression estimators for use in engineering science , 2009 .

[14]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[15]  Simon Tavaré,et al.  Identification and correction of previously unreported spatial phenomena using raw Illumina BeadArray data , 2009, BMC Bioinformatics.

[16]  Arnošt Veselý,et al.  Data, Information and Knowledge , 2009 .

[17]  Branislav Bošanský Process-based Multi-agent Architecture in Home Care , 2010 .

[18]  J. H. Van Bemmel The structure of medical informatics , 1984 .

[19]  E. Balas,et al.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.

[20]  Samson W. Tu,et al.  Patient Safety in Guideline-Based Decision Support for Hypertension Management: ATHENA DSS , 2002, J. Am. Medical Informatics Assoc..