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Yearb Med Inform 2011; 20(01): 102-104
DOI: 10.1055/s-0038-1638746
DOI: 10.1055/s-0038-1638746
Synopsis
Decision Support: Time for Collaboration
Authors
I greatly acknowledge the support of Martina Hutter and of the reviewers in the selection process of the IMIA Yearbook.
Further Information
Correspondence to
Alberto Guardia, MD.
University Hospitals of Geneva
Department of medical imaging and information sciences
Division of eHealth and telemedicine 4
Rue Gabrielle-Perret-Gentil
CH-1211 Geneva 14
Switzerland
Phone: +41 22 372 6293
Fax: +41 22 372 8680
Email: alberto.guardia@hcuge.ch
Publication History
Publication Date:
06 March 2018 (online)
Summary
Objectives
To summarize current outstanding research in the field of decision support.
Methods
A selection of excellent research articles published in 2010 in the field of computerized clinical decision support systems.
Results and Conclusions
This selection of articles shows that deci- sion support systems (DSS) are getting better integrated into the electronic health record systems (EHR) and into the clinician’s workflow. As a result, there is a better collaboration between physicians and DSS, which improves the care of patients.
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Keywords
Decision support systems - collaboration - electronic health record - medical data - integration - ubiquitous
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References
- 1 Elkin PL, Liebow M, Bauer BA, Chaliki S, Wahner-Roedler D, Bundrick J. et al. The introduc- tion of a diagnostic decision support system (DXplainTM)into the workflow of a teaching hospi- tal service can decrease the cost of service for diag- nostically challenging Diagnostic Related Groups (DRGs). Int J Med Inform 2010; 79: 772-7.
- 2 Niemeijer M, Loog M, Abramoff MD, Viergever MA, Prokop M, van Ginneken B. On combining Computer-Aided Detection Systems. IEEE Trans Med Imaging 2010; 30: 215-23.
- 3 Wright A, Chen ES, Maloney FL. An automated technique for identifying associations between medi- cations, laboratory results and problems. J Biomed Inform 2010; 43: 891-901.
- 4 Matheny ME, Miller RA, Ikizler TA, Waitman LR, Denny JC, Schildcrout JS. et al. Development of inpatient risk stratification models of acute kidney injury for use in electronic health record. Med Decis Making 2010; 30: 639-50.
- 5 van der Sijs H, van Gelder T, Vulto A, Berg M, Aarts J. Understanding handling of drug safety alerts: a simulation study. Int J Med Inform 2010; 79: 361-9.
- 6 Ruch P. A Medical Informatics Perspective on De- cision Support. Toward a Unified Research Para- digm Combining Biological vs. Clinical, Empiri- cal vs. Legacy,and Structured vs. Unstructured Data. Yearb Med Inform 2009; 96-8.
- 7 Ahmadian L, van Engen-Verheul M, Bakhshi-Raiez F, Peek N, Cornet R, de Keizer NF. The role of standardized data and terminological systems in com- puterized clinical decision support systems: Litera- ture review and survey. Int J Med Inform 2010; 80 (02) 81-93.
- 8 Galanter WL, Hier DB, Jao C, Sarne D. Computer- ized physician order entry of medications and clini- cal decisions support can improve problem list documentation compliance. Int J Med Inform 2010; 79: 332-8.
- 9 Goud R, van Engen-Verheul M, de Keizer NF, Bal R, Hasman A, Hellemans IM. et al. The effect of computerized decision support on barriers to guide- line implementation: A qualitative study in outpa- tient cardiac rehabilitation. Int J Med In- form 2010; 79: 430-7.
- 10 Shim JP, Warkentin M, Courtney JF, Power DJ, Sharda R, Carlsson C. Past,present and future of decision support technology. Decis Support Syst 2002; 33: 111-26.
- 11 Eren A, Subasi A, Coskun O. A Decision Support System for Telemedicine Through the Mobile Tel- ecommunications Platform. J Med Syst 2008; 32 (01) 31-5.
- 12 Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical deci- sion support systems: a systematic review of trials to identify features critical to success. BMJ 2005; 330 7494 765.
- 13 Garg AX, Adhikari NKJ, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J. et al. Effects of Computerized Clinical Decision Support Sys- tems on Practitioner Performance and Patient Out- come. JAMA 2005; 293 (10) 1223-38.
Correspondence to
Alberto Guardia, MD.
University Hospitals of Geneva
Department of medical imaging and information sciences
Division of eHealth and telemedicine 4
Rue Gabrielle-Perret-Gentil
CH-1211 Geneva 14
Switzerland
Phone: +41 22 372 6293
Fax: +41 22 372 8680
Email: alberto.guardia@hcuge.ch
-
References
- 1 Elkin PL, Liebow M, Bauer BA, Chaliki S, Wahner-Roedler D, Bundrick J. et al. The introduc- tion of a diagnostic decision support system (DXplainTM)into the workflow of a teaching hospi- tal service can decrease the cost of service for diag- nostically challenging Diagnostic Related Groups (DRGs). Int J Med Inform 2010; 79: 772-7.
- 2 Niemeijer M, Loog M, Abramoff MD, Viergever MA, Prokop M, van Ginneken B. On combining Computer-Aided Detection Systems. IEEE Trans Med Imaging 2010; 30: 215-23.
- 3 Wright A, Chen ES, Maloney FL. An automated technique for identifying associations between medi- cations, laboratory results and problems. J Biomed Inform 2010; 43: 891-901.
- 4 Matheny ME, Miller RA, Ikizler TA, Waitman LR, Denny JC, Schildcrout JS. et al. Development of inpatient risk stratification models of acute kidney injury for use in electronic health record. Med Decis Making 2010; 30: 639-50.
- 5 van der Sijs H, van Gelder T, Vulto A, Berg M, Aarts J. Understanding handling of drug safety alerts: a simulation study. Int J Med Inform 2010; 79: 361-9.
- 6 Ruch P. A Medical Informatics Perspective on De- cision Support. Toward a Unified Research Para- digm Combining Biological vs. Clinical, Empiri- cal vs. Legacy,and Structured vs. Unstructured Data. Yearb Med Inform 2009; 96-8.
- 7 Ahmadian L, van Engen-Verheul M, Bakhshi-Raiez F, Peek N, Cornet R, de Keizer NF. The role of standardized data and terminological systems in com- puterized clinical decision support systems: Litera- ture review and survey. Int J Med Inform 2010; 80 (02) 81-93.
- 8 Galanter WL, Hier DB, Jao C, Sarne D. Computer- ized physician order entry of medications and clini- cal decisions support can improve problem list documentation compliance. Int J Med Inform 2010; 79: 332-8.
- 9 Goud R, van Engen-Verheul M, de Keizer NF, Bal R, Hasman A, Hellemans IM. et al. The effect of computerized decision support on barriers to guide- line implementation: A qualitative study in outpa- tient cardiac rehabilitation. Int J Med In- form 2010; 79: 430-7.
- 10 Shim JP, Warkentin M, Courtney JF, Power DJ, Sharda R, Carlsson C. Past,present and future of decision support technology. Decis Support Syst 2002; 33: 111-26.
- 11 Eren A, Subasi A, Coskun O. A Decision Support System for Telemedicine Through the Mobile Tel- ecommunications Platform. J Med Syst 2008; 32 (01) 31-5.
- 12 Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical deci- sion support systems: a systematic review of trials to identify features critical to success. BMJ 2005; 330 7494 765.
- 13 Garg AX, Adhikari NKJ, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J. et al. Effects of Computerized Clinical Decision Support Sys- tems on Practitioner Performance and Patient Out- come. JAMA 2005; 293 (10) 1223-38.