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ABSTRACT
This paper presents ST-Guide, a state/transition approach to the representation of computer interpretable clinical guidelines for primary and secondary care. Details of the representation language, which is based on finite state machines, and the execution model are presented. We claim that because it is geared towards primary care clinical guidelines, specially for chronic diseases, the representation language is simpler than general guideline representation languages that have been proposed in the literature. Guidelines for Tuberculosis, Hepatitis C, Hypertension, and the treatment of germ cell cancer in children were implemented in ST-guide.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
P. A. de Clercq, J. A. Blom, H. H. M. Korsten, and A. Hasman. Approaches for creating computer-interpretable guidelines that facilitate decision support. Artificial Intelligence in Medicine, 31(1):1--27, 2004.
|
| |
2
|
G. Duftschmid, S. Miksch, Y. Shahar, and P. Johnson. Multi-level verification of clinical protocols. In The Workshop on Validation & Verification of Knowledge-Based Systems, 1998.
|
| |
3
|
M. Field and K. Lohr, editors. Institute of Medicine. Guidelines for Clinical Practice: From Development to Use. National Academy Press, Washington, DC, 1992.
|
| |
4
|
J. Fox and A. Rahmanzadeh. Disseminating medical knowledge: the PROforma approach. Artificial Intelligence in Medicine, 14:157--181, 1998.
|
| |
5
|
J. Grimshaw and I. Russel. Effect of clinical guidelines on medical practice: A systematic review of rigorous evaluations. Lancet, 342:1317--1322, 1993.
|
| |
6
|
|
| |
7
|
P. D. Johnson, S. Tu, N. Booth, B. Sugden, and I. N. Purves. Using scenarios in chronic disease management guidelines for primary care. In AMIA Annual Symposium, pages 389--393, Los Angeles, CA, 2000.
|
| |
8
|
M. M. Kuilboer, M. A. M. van Wijk, M. Mosseveld, and J. van der Lei. AsthmaCritic: Issues in Designing a Noninquisitive Critiquing System for Daily Practice. J Am Med Inform Assoc, 10(5):419--424, 2003.
|
| |
9
|
L. F. Lopes. Protocolo de Tratamento dos Tumores de Células Germinativas na Infância - TCG 99. Sobope, 1999. in Portuguese.
|
| |
10
|
C. Lovis, R. H. Baud, and P. Plancheb. Power of expression in the electronic patient record: structured data or narrative text? International Journal of Medical Informatics, 58--59(1):101--110, 2000.
|
| |
11
|
|
| |
12
|
M. A. Musen, C. W. Carlson, L. M. Fagan, S. C. Deresinskim, and E. H. Shortliffe. T-HELPER: Automated support for community-based clinical research. In Proceedings of the 16th Annual Symposium on Computer Applications in Medical Care (SCAMC-92), pages 719--723, 1992.
|
| |
13
|
National Isntitutes of Health. The sixth report of the join national committee on prevention, Detection, Evaluation, and treatment of high blood pressure, November 1997.
|
| |
14
|
L. Ohno-Machado, J. H. Gennari, S. Murphy, N. L. Jain, S. W. Tu, D. E. Oliver, et al. The GuideLine Interchage Format: a model for representing guidelines. Journal of the American Medical Informatics Association, 5(4):357--372, 1998.
|
| |
15
|
M. Peleg, A. Boxwala, O. Ogunyemi, Q. Zeng, S. Tu, R. Lacson, et al. GLIF3: the evolution of a guideline representation format. In Proceedings of the AMIA Anual Fall Symposium, pages 645--649, 2000.
|
| |
16
|
P. Johnson, S. Tu, and N. Jones. Achieving reuse of computable guideline systems. In MEDINFO, pages 99--103, 2001.
|
| |
17
|
Y. Shahar, S. Miksch, and P. Johnson. The Asgaard project: A task-specific framework for the application and critiquing of time-oriented clinical guidelines. Artificial Intellience in Medicine, 14:29--51, 1998.
|
| |
18
|
R. Shiffman, Y. Liaw, C. Brandt, and G. Corb. Computer-based guideline implementation systems. Journal of the American Medical Informatics Association, 6:104--114, 1999.
|
| |
19
|
D. Sigulem, J. M. A. Moura Júnior, M. S. Akiyama, S. Stella, M. S. Anção, and M. P. Ramos. Medical decision support system in tuberculosis. In Knowledge, Information and Medical Education, pages 387--393. North Holland, 1991.
|
| |
20
|
W. Tierney, J. Overhage, B. Takesue, L. Harris, M. Murray, D. Vargo, et al. Computerizing guidelines to improve care and patient outcomes: the example of heart failure. Journal of the American Medical Informatics Association, 2:316--322, 1995.
|
| |
21
|
S. Tu and M. Musen. Representation formalisms and computational methods for modeling guideline-based patient care. In Proceedings of the First European Workshop on Computer-based Support for Clinical Guidelines and Protocols, pages 125--142, 2000.
|
 |
22
|
|
| |
23
|
|
| |
24
|
J. Wainer, A. Monteiro, M. Ancao, and D. Sigulem. St-guide: A state/transition representation model for clinical guidelines. In AMIA Annual Symposium, 2002.
|
| |
25
|
D. Wang, M. Peleg, S. W. Tu, A. A. Boxwala, R. A. Greenes, L. P. V, and E. H. Shortliffe. Representation primitives, process models and patient data in computer-interpretable clinical practice guidelines: A literature review of guideline representation models. International Journal of Medical Informatics, 68:59--70, 2002.
|
|