Methods Inf Med 1997; 36(03): 179-183
DOI: 10.1055/s-0038-1636845
Original Article
Schattauer GmbH

Visualizing the Logic of a Clinical Guideline: A Case Study in Childhood Immunization

C. A. Brandt
1   Yale University School of Medicine, New Haven, CT, USA
,
S. J. Frawley
1   Yale University School of Medicine, New Haven, CT, USA
,
S. M. Powsner
1   Yale University School of Medicine, New Haven, CT, USA
,
R. N. Shiftman
1   Yale University School of Medicine, New Haven, CT, USA
,
P. L. Miller
1   Yale University School of Medicine, New Haven, CT, USA
› Author Affiliations
Supported in part by NIH Grant TIS LM070S6 from the National Library of Medicine
Further Information

Publication History

Publication Date:
17 February 2018 (online)

IMM/Graph is a visual model designed to help knowledge-base developers understand and refine the guideline logic for childhood immunization. The IMM/Graph model is domain-specific and was developed to help build a knowledge-based system that makes patient-specific immunization recommendations. A “visual vocabulary” models issues specific to the immunization domain, such as (1) the age a child is first eligible for each vaccination dose, (2) recommended, “past due” and maximum ages, (3) minimum waiting periods between doses, (4) the vaccine brand or preparation to be given, and (5) the various factors affecting the time course of vaccination. Several lessons learned in the course of developing IMM/Graph include the following: (1) The intended use of the model may influence the choice of visual presentation; (2) There is a potentially interesting interplay between the use of visual and textual information in creating the visual model; (3) Visualization may help a development team better understand a complex clinical guideline and may also help highlight areas of incompleteness.

 
  • REFERENCES

  • 1 Miller PL, Frawley SJ, Yasnoff W, Duncan L, Fleming D. IMM/Serve: A rule-based program for childhood immunizations. In: Proceedings of the 1996 AMIA Fall Symposium. Washington DC: 1996: 184-8.
  • 2 General Recommendations on Immunization. Recommendations of the Advisory Committee on Immunization Practices (ACIP). USDHHS, CDC. MMWR. 1994.43.
  • 3 Centers for Disease Control and Prevention. Recommended Childhood Immunization Schedule, United States, January-June 1996. MMWR 1996; 44 (51,52) 942-3.
  • 4 Powsner SM, Tufte ER. Graphical summary of patient status. Lancet 1994; 344: 386-9.
  • 5 Cole WG. Integrality and meaning: essential and orthogonal dimensions of graphical data display. In: Proceedings of the Seventeenth Annual SCAMC Convention. Washington DC: 1993: 404-8.
  • 6 Cole WG, Stewart JG. Human performance evaluation of a metaphor graphic display for respiratory data. Meth Inform Med 1994; 33: 390-6.
  • 7 Nazareth DL, Kennedy MH. Verification of rule-based knowledge using directed graphs. Knowl Acquisition 1991; 03: 339-60.
  • 8 O’Keefe RM, O’Leary DE. Expert system verification and validation: a survey and tutorial. Artif Intell Rev 1993; 07: 3-42.
  • 9 Zemik D, Malki D. Using visualization tools to understand concurrency. IEEE Software 1992; 09: 87-92.
  • 10 Shiffman RN, Greenes RA. Improving clinical guidelines with logic and decision-table techniques: Application to hepatitis immunization recommendations. Med Decis Making 1994; 14: 245-54.
  • 11 Tu SW, Eriksson H, Gennari JH, Shahar Y, Musen MA. Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: application of PROTEGE-II to protocol-based decision support. Artif Intell Med 1995; 07: 257-89.