Artificial Intelligence in Medicine
Volume 37, Issue 3 , Pages 203-218 , July 2006

CareVis: Integrated visualization of computerized protocols and temporal patient data

Received 15 April 2005 ,Revised 6 April 2006 ,Accepted 10 April 2006.

References 

  1. Field M, Lohr K. Guidelines for clinical practice: from development to use. Institute of Medicine. Washington, DC: National Academy Press; 1992;
  2. Miksch S. Plan management in the medical domain. AI Commun. 1999;12(4):209–235
  3. Hadorn DC. Use of algorithms in clinical practice guideline development: methodology perspectives. Clin Practice Guideline Dev: Methodol Perspect. 1995;0009(95):93–104
  4. Society for Medical Decision Making. Proposal for Clinical Algorithm Standards. Med Dec Mak 1992:12(02);149–54.
  5. Tufte E, Powsner SM. Graphical summary of patient status. Lancet. 1994;344(8919):386–389
  6. Brandt CA, Frawley SJ, Powsner SM, Shiffman RN, Miller PL. Visualizing the logic of a clinical guideline: a case study in childhood immunization. Methods Inf Med. 1997;36:179–183
  7. Plaisant C, Mushlin R, Snyder A, Li J, Heller D, Shneiderman B. LifeLines: using visualization to enhance navigation and analysis of patient records. In:  Chute CG editors. Proceedings of the 1998 American Medical Informatic Association Annual Fall Symposium. Bethesda, MD: AMIA; 1998;p. 76–80
  8. Peleg M, Tu S, Bury J, Ciccarese P, Fox J, Greenes R,, et al. Stefanelli, comparing computer-interpretable guideline models: a case-study approach. J Am Med Inform Assoc (JAMIA). 2003;10(1):52–68
  9. de Clercq PA, Blom JA, Korsten HHM, Hasman A. Approaches for creating computer-interpretable guidelines that facilitate decision support. Artif Intell Med. 2004;31(1):1–27
  10. http://www.openclinical.org, Open clinical-knowledge management for medical care, http://www.openclinical.org (accessed: 26 March 2006).
  11. Kosara R, Miksch S. Metaphors of movement—a user interface for manipualting time-oriented, skeletal plans. Artif Intell Med. 2001;22(2):111–132
  12. W. Aigner. Interactive visualization of time-oriented treatment plans and patient data, Master’s thesis. Vienna University of Technology, Institute of Software Technology and Interactive Systems, Vienna, Austria; May 2003.
  13. Chittaro L, Combi C. Visualizing queries on databases of temporal histories: new metaphors and their evaluation. Data Knowledge Eng. 2003;44(2):239–264
  14. Combi C, Portoni L, Pinciroli F. Visualizing temporal clinical data on the WWW. In:  Horn W,  Shahar Y,  Lindberg G,  Andreassen S,  Wyatt J editor. Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making (AIMDM’99). New York: Springer-Verlag; 1999;p. 301–311
  15. P. Messner, Time shapes—a visualization for temporal uncertainty in planning, Master’s thesis. Vienna University of Technology, Institute of Software Technology and Interactive Systems, Vienna, Austria; April 2000.
  16. Card S, Mackinlay J, Shneiderman B. Readings in information visualization: using vision to think. San Francisco: Morgan Kaufmann Publishers; 1998;
  17. Rit J-F. Propagating Temporal Constraints for Scheduling. In:  Kehler T,  Rosenschein S,  Filman R,  Patel-Schneider PF editor. Proceedings of the Fifth National Conference on Artificial Intelligence (AAAI-86). Los Altos, CA: Morgan Kaufmann; 1986;p. 383–388
  18. Combi C, Pozzi G. HMAP—a temporal data model managing intervals with different granularities and indeterminacy from natural language sentences. VLDB J. 2001;9(4):294–311
  19. Cousins SB, Kahn MG. The visual display of temporal Information. Artif Intell Med. 1991;3(6):341–357
  20. Philips Medical Systems. IntelliVue. http://www.medical.philips.com/main/products/patient_monitoring/products/patient_monitors/ (accessed: 26 March 2006).
  21. Picis, Chart+ for Critical Care. http://www.picis.com/html/products/module_chart%2Bcritcare.html (accessed: 24 May 2003).
  22. Picis, Visual Care, http://www.picis.com/html/products/module_visualcare.html (accessed: 24 May 2003).
  23. Critical Care Company, QCare, http://www.c3.be (accessed: 26 March 2006).
  24. Aigner W, Miksch S. Supporting protocol-based care in medicine via multiple coordinated views. In:  Roberts J editors. Proceedings International Conference on Coordinated and Multiple Views in Exploratory Visualization CMV04. Los Alamitos, CA: IEEE Press; 2004;p. 118–129
  25. Roberts JC. On encouraging multiple views for visualization. In:  Banissi E,  Khosrowshahi F,  Sarfraz M editor. IV’98—Proceedings International Conference on Information Visualization. Los Alamitos, CA: IEEE Press; 1998;p. 8–14
  26. Aigner W, Miksch S. Communicating the logic of a treatment plan formulated in Asbru to domain experts. In:  Kaiser K,  Miksch S,  Tu S editor. Computer-based Support for Clinical Guidelines and Protocols. Proceedings of the Symposium on Computerized Guidelines and Protocols (CGP 2004). Amsterdam: IOS Press; 2004;p. 1–15
  27. Schaffer D, Zuo Z, Greenberg S, Bartram L, Dill J, Dubs S,, et al. Navigating hierarchically clustered networks through Fisheye and full-zoom methods. ACM Transact Comput-Human Interact. 1996;3(2):162–188
  28. Leung YK, Apperley MD, Review A. Taxonomy of distortion-oriented presentation techniques. ACM Transact Comput-Human Interact. 1994;1(2):126–160
  29. Aigner W, Miksch S, Thurnher B, Biffl S. PlanningLines: novel glyphs for representing temporal uncertainties and their evaluation. In:  Banissi E,  et al editor. Proceedings of the 9th International Conference on Information Visualisation (IV05). Los Alamitos, CA: IEEE Press; 2005;p. 457–463
  30. Bade R, Schlechtweg S, Miksch S. Connecting time-oriented data and information to a coherent interactive visualization. In:  Dykstra-Erickson E,  Tscheligi M editor. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2004). New York: ACM Press; 2004;p. 105–112
  31. Gorman P, Helfand M. Information seeking in primary care: how physicians choose which clinical questions to persue and which to leave unanswered. Med Dec Mak. 1995;15:113–119
  32. G. Alder, Design and implementation of the JGraph swing component. Techical Report 1.0.6, JGraph Ltd.; February 2002.
  33. G. Alder. The home page of JGraph. http://www.jgraph.sourceforge.net (accessed: 26 March 2006).
  34. Biffl S, Thurnher B, Goluch G, Winkler D, Aigner W, Miksch S. An empirical investigation on the visualization of temporal uncertainties in software engineering project planning. In:  Verner J,  Travassos GH editor. Proceedings of Empirical Software Engineering 2005 (ISESE 2005). Los Alamitos, CA: IEEE Press; 2005;p. 437–446

PII: S0933-3657(06)00059-5

doi: 10.1016/j.artmed.2006.04.002

Artificial Intelligence in Medicine
Volume 37, Issue 3 , Pages 203-218 , July 2006