Download PDF
Yearb Med Inform 2010; 19(01): 55-57
DOI: 10.1055/s-0038-1638689
Original Article
Georg Thieme Verlag KG Stuttgart

Findings from the Yearbook 2010 Section on Decision Support Systems

P. Ruch
1   University of Applied Sciences Geneva, Dept. of Information and Library Sciences, Geneva, Switzerland
,
Section Editor for the IMIA Yearbook Section on Decision Support Systems › Author AffiliationsI greatly acknowledge the support of Martina Hutter and of the reviewers in the selection process of the IMIA Yearbook.
Further Information

Publication History

Publication Date:
07 March 2018 (online)

Also available at
   Permissions and Reprints

Summary

Objective: To summarize current excellent research in the field of computer-based decision support systems in health and healthcare.

Methods: We provide a synopsis of the articles selected for the IMIA Yearbook 2010, from which we attempt to derive a synthetic overview of the activity and new trends in the field.

Results: While the state of the research in the field of medical decision support systems is illustrated by a set of fairly heterogeneous studies, it is possible to identify trends. Thus, clearly, the importance of studies related to computerized prescription order entry (CPOE) systems and guidelines management systems for both medical decision making and care providers, occupies a central role in the field, with application affecting also EHR vendors. In parallel, we observe translational interests for developing bridges with results generated by molecular biology, where the mass of data generated by high/ throughput experiments and large-scale genome analysis projects, raises specific processing challenges.

Conclusions: The best paper selection of articles on decision support shows examples of excellent research on methods concerning original development as well as quality assurance of previously reported studies. This selected set of scientific investigations demonstrates the needs for computerized applications to transform the biomedical data overflow into more operational clinical knowledge. Altogether these papers support the idea that more elaborated computer tools, likely to combine heterogeneous contextual contents, are needed.

Keywords

Medical informatics - International Medical Informatics Association - yearbook - decision support systems
 

  • References

  • 1 Pakhomov SV, Buntrock JD, Chute CG. Automating the assignment of diagnosis codes to patient encounters using example-based and machine learning techniques. J Am Med Inform Assoc 2006; Sep-Oct; 13 (05) 516-25 Epub 2006 Jun 23..
    CrossrefPubMedGoogle Scholar
  • 2 Ruch P, Gobeill J, Tbahriti I, Geissbühler A. From episodes of care to diagnosis codes: automatic text categorization for medico-economic encoding. AMIA Annu Symp Proc 2008; Nov 6: 636-40.
    PubMedGoogle Scholar
  • 3 Kohn LT, Corrigan JM, Donaldson MS. editors. To Err Is Human: Building a Safer Health System. Institute of Medicine (U.S.) Committee on Quality of Health Care in America. Washington, DC: National Academy Press; 1999
    Google Scholar
  • 4 Han YY, Carcillo JA, Venkataraman ST, Clark RS, Watson RS, Nguyen TC. et al. Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system. Pediatrics 2005; Dec; 116 (06) 1506-12 Erratum in: Pediatrics. 2006 Feb;117(2):59.
    CrossrefPubMedGoogle Scholar