AI planning technology as a component of computerised clinical practice guidelines

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3581 LNAI, Issue , 2005, Pages 171-180

  Bradbrook, Kirsty ^a   Winstanley, Graham ^a   Glasspool, David ^b   Fox, John ^b   Griffiths, Richard ^a  

^a UNIVERSITY OF BRIGHTON   (United Kingdom)

^b Cancer Research   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING LANGUAGES; HEALTH; PATIENT TREATMENT;

CLINICAL GUIDELINE DOMAIN; CLINICAL GUIDELINE MODELLING LANGUAGE; PATIENT JOURNEY; PLANNING TECHNOLOGY;

BIOMEDICAL ENGINEERING;

EID: 26944478154     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527770_26     Document Type: Conference Paper

References (20)

1. NHS Information Authority: Care Pathways Know-How Zone. URL http://www.nelh.nhs.uk/carepathways/icp_about.asp (2003).
2. NHS Information Authority: Care Pathways Know-How. URL http://www.nclh.nhs.uk/carepathways/icp_bencfits.asp (2003).
3. The NHS Confederation: Briefing 88: The national strategy for IT in the NHS. London: NHS Confederation Publications Sales (2003).
4. Shiffman, R. & Greenes R.: Improving clinical guidelines with logic and decision-table techniques. Medical Decision Making. 14(3) p.247-343, (1994)
5. Waitman, L. R. & Miller, R. A.: Pragmatics of implementing guidelines on the front lines. l American Medical Informatics Assoc. 11(5), p.436-438. (2004)
6. Glasspool, D. W., Fox, J., Castillo, F. C. and Monaghan, V. E. L.: Interactive Decision Support for Medical Planning. In M. Dojat, E. Keravnou and P. Barahona (Eds.) Proc. 9th Conference on Al in Medicine in Europe, AIME 2003. Berlin: Springer-Verlag, p. 335-339, (2003).
7. Bouaud J. & Séroussi B.: Reminder-based or on-demand guideline-based decision support systems. From CPG2004. URL http://www. openclinical.org/cgp2004.html (2004)
8. Fox, J. & Dunlop, R.: Guideline modelling methods: PROforma. London: OpenClinical. URL; http://www.openclinical.org/gmm_proforma.html (2004)
9. Veloso, M., et. al.: Integrating planning and learning: The prodigy architecture. Journal of Experimental and Theoretical AI 7(1) p.81-120, (1995)
10. Miksch, S.: Plan Management in the Medical Domain. AI Communications 12 p.209-235, (1999)
11. Penberthy, J. S. & Weld, D.: UCPOP: A sound, complete, partial order planner for ADL. Proc 3rd Int Conf Principles of KR and R. p.103-114. URL http://www.es.washington. edu/homes/weld/papers/ucpop-kr92.pdf (1992)
12. Kambhampati, S.: Refinement planning as a unifying framework for plan synthesis. AI Magazine. 18(2) p.48, (1997)
13. Fox, J. & Das, S.: Safe and Sound: Artificial intelligence in Hazardous Applications. London: MIT Press, (2000)
14. Blum, A. & Furst, M.: Fast planning through planning graph analysis. Proc 14th IJCAI p. 1636-1642. Morgan Kaufmann, (1995)
15. th National Conf on AI. AAAI Press, (1996)
16. Pryor, L. and Collins, G.: Planning for contingencies: a decision-based approach. JAIR 4, p 287-339, (1996)
17. Fox, J., Alabassi, A., Black, E., Patkar, V. & Rose, A.: An ontological approach to modelling tasks and goals. Computers in Biology and Medicine, in press (2005).
18. Watson, I. & Marir, F.: Case-Based Reasoning: A Review. Knowledge Engineering Review. 9(4) p.355-381, (1994)
19. McDermott, D.: The 1998 AI Planning Systems Competition. AI Magazine 21(2) Summer (2000)
20. Sutton, D. & Fox, J.: The Syntax and Semantics of the PROforma guideline modelling language. JAMIA. 10(5) p.433-443, (2003)