Clinical decision support systems and other health information technologies are being implemented in healthcare organizations to enhance clinician performance by helping to overcome the limits of human cognition. In spite of gains achieved with these systems, significant problems remain, including unexpected complexity and sometimes harmful effects, and persistent use of paper-based cognitive artifacts. This panel will explore current research that is meant to help us better understand the implications of clinical decision support and cognitive support, and develop novel approaches that are intended to take better advantage of the complementary capabilities of human and machine cognition.
Get full access to this article
View all access options for this article.
References
1.
AshJSSittigDFPoonEGGuapponeKCampbellEDykstraRH“The extent and importance of unintended consequences related to computerized provider order entry”. J. Am. Med. Inform. Assoc, 14(4):415–423, 2007.
2.
AshJSSittigDFMcMullenCKGuapponeKDykstraRCarpenterJ.A rapid assessment process for clinical informatics interventions. In: AMIA Annual Symposium Proceedings. American Medical Informatics Association; 2008. p. 26.
3.
ChuahMCEickSG.Glyphs for software visualization. Proc of the 5th International Workshop on Progam Comprehension (WPC 1997), IEEE, 1997;1–9.
4.
CummingsMLMitchellPJ.Managing multiple UAVS through a timeline display. Proc of AIAA Info Tech, 2005; 1–13.
5.
HysongSJBestRGPughJAMooreFI.Not of one mind: Mental models of clinical practice guidelines in the Veterans Health Administration. Health Serv Res. 2005 Jun; 40(3):829–847.
6.
GursesAPXiaoYHuP, User-designed information tools to support communication and care coordination in a trauma hospital. Journal of Biomedical Informatics, 42(4):667–772009.
7.
EinsteinG. O.McDanielM. A. (1996). Retrieval processes in prospective memory: Theoretical approaches and some new empirical findings. In BrandimonteM.EinsteinG. O.McDanielM. A. (Eds.), Prospective memory: Theory and applications (pp. 115–141). Mahwah, NJ: Lawrence Erlbaum Associates.
8.
MilitelloLGQuillLVinsonKStilsonMGormonM.Managing multiple UAVS through a timeline display developing situation awareness strategies for command and control environments. Proc of the 47th Annual HFES Meeting, Santa Monica; HFES 2003; 434–438.
9.
RichardsonJEAshJSSittigDFBunceACarpenterJDDykstraRHMultiple Perspectives on the Meaning of Clinical Decision Support. In: AMIA Annual Symposium Proceedings (In Publication). American Medical Informatics Association; 2010.
10.
RussALSaleemJJJusticeCFHaggHWoodbridgePADoebbelingBN.“Healthcare Workers' Perceptions of Information in the Electronic Health Record”, Proceedings of the Human Factors and Ergonomics Society, 53rd Annual Meeting, San Antonio, TX, [CD-ROM] 635–639, Oct 2009.
11.
SaleemJJMilitelloLGArbuckleNFlanaganMHaggstromDALinderJADoebbelingBN.Provider perceptions of colorectal cancer screening decision support at three benchmark institutions. Proc AMIA Symp 2009; 558–62.
12.
SaleemJJRussALJusticeCFHaggHEbrightPRWoodbridgePADoebbelingBN.“Exploring the Persistence of Paper with the Electronic Health Record”, International Journal of Medical Informatics, 78(9): 618–628, 2009.
13.
ScottRRothEMDeutschEMalchiodiTEKazmeirczakTEEgglestonRGKuperSRWhitakerRD.Work-centered support systems: A human-centered approach to intelligent system design. Technical report No: AFRL-HE-WP-TR-2004-0043. Cambridge, MA: BBNT Solutions LL.
