Modeling end-users' acceptance of a knowledge authoring tool

Methods of Information in Medicine

Volumn 45, Issue 5, 2006, Pages 528-535

  Hulse, Nathan ^a,b   Del Fiol, G ^a,b   Rocha, R A ^a,b  

^a UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^b INTERMOUNTAIN HEALTHCARE   (United States)

Author keywords

Clinical information systems; Knowledge acquisition; Knowledge bases; Software acceptance; Technology Acceptance Model

Indexed keywords

COMPUTER PROGRAM; CONSUMER; EXPERT SYSTEM; INFORMATION TECHNOLOGY; KNOWLEDGE; LEARNING; MEDICAL INFORMATICS; MEDICAL INFORMATION; MEDICAL INFORMATION SYSTEM; PRIORITY JOURNAL; REVIEW; STATISTICAL MODEL;

EID: 33750258219     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-0038-1634114     Document Type: Review

References (49)

1. Shortliffe EH, et al. An artificial intelligence program to advise physicians regarding antimicrobial therapy. Comput Biomed Res 1973; 6 (6): 544-60.
2. Barnett GO, et al. DXplain. An evolving diagnostic decision-support system. Jama 1987; 258 (1): 67-74.
3. Miller R, Masarie FE, Myers JD. Quick medical reference (QMR) for diagnostic assistance. MD Comput 1986; 3 (5): 34-48.
4. Warner HR Jr. Iliad: moving medical decision-making into new frontiers. Methods Inf Med 1989; 28 (4): 370-2.
5. Berner ES, et al. Performance of Four Computer-Based Diagnostic Systems. N Engl J Med 1994; 330 (25): 1792-6.
6. Berner E, Jackson J, Algina J. Relationships among performance scores of four diagnostic decision support systems. J Am Med Inform Assoc 1996; 3 (3): 208-15.
7. Perry CA. Knowledge bases in medicine: A review. Bulletin of the Medical Library Association 1990; 78 (3): 271-82.
8. Smirnov A, et al. Knowledge logistics as an intelligent service for Healthcare. Methods Inf Med 2005; 44 (2): 262-4.
9. Degoulet P, Fieschi M, Chatellier G. Decision support systems from the standpoint of knowledge representation. Methods Inf Med 1995; 34 (1-2): 202-8.
10. Barreiro A, et al. A modular knowledge base for the follow-up of clinical protocols. Methods Inf Med 1993; 32 (5): 373-81.
11. Giuse DA, Giuse NB, Miller RA. Evaluation of long-term maintenance of a large medical knowledge base. J Am Med Inform Assoc 1995; 2 (5): 297-306.
12. Compton P, et al. Maintaining an expert system. In: Quinlan JR (ed.). Applications of Expert Systems. Turing Institute Press in association with Addison-Wesley; 1989. pp 366-84.
13. Warner HR, Sorenson DK, Bouhaddou O. Knowledge engineering in health informatics. New York: Springer; 1997.
14. Lincoln M. Medical Education Applications. In: Berner E (ed.). Clinical Decision Support Systems. New York: Springer-Verlag; 1999. p 110.
15. Yu VL. Conceptual obstacles in computerized medical diagnosis. J Med Philos 1983; 8(1): 67-75.
16. Miller R, Geissbuhler A. Clinical Diagnostic Decision Support Systems - An Overview. In: Berner E. Clinical Decision Support Systems. New York: Springer-Verlag: 1999. pp 19-21.
17. Balas EA, Boran SA. Managing clinical knowledge for healthcare improvement. In: Yearbook of Medical Informatics. Bethesda, MD: NLM; 2000. pp 65-70.
18. Johansson B, et al. Database and knowledge base integration - a data mapping method for Arden Syntax knowledge modules. Methods Inf Med 1996; 35 (4-5): 302-8.
19. Spreckelsen C, Spitzer K. Formalising and acquiring model-based hypertext in medicine: an integrative approach. Methods Inf Med 1998; 37 (3): 239-46.
20. Alberdi E, Taylor P, Lee R. Elicitation and representation of expert knowledge for computer aided diagnosis in mammography. Methods Inf Med 2004; 43 (3): 239-46.
21. Grutter R, Fierz W. An electronic study form to support collaborating agents in the management of clinical knowledge. Methods Inf Med 1999; 38 (3): 154-7.
22. Giuse DA, Giuse NB, Miller RA. Consistency enforcement in medical knowledge base construction. Artif Intell Med 1993; 5 (3): 245-52.
23. Giuse DA, Giuse NB, Miller RA. A tool for the computer-assisted creation of QMR medical knowledge base disease profiles. Proc Annu Symp Comput Appl Med Care 1991: pp 978-9.
24. Walton JD, et al. Graphical access to medical expert systems: III. Design of a knowledge acquisition environment. Methods Inf Med 1987; 26 (3): 78-88.
25. Jenders RA, Dasgupta B. Assessment of a knowledge-acquisition tool for writing Medical Logic Modules in the Arden Syntax. Proc AMIA Annu Fall Symp 1996. pp 567-71.
26. Shiffman RN, et al. Bridging the guideline implementation gap: a systematic, document-centered approach to guideline implementation. J Am Med Inform Assoc 2004; 11 (5): 418-26.
27. Musen MF, RW, Grosso WE, Noy NF, Grubezy M, Gennari JH. Component-based support for building knowledge acquisition systems. In: Conference on Intelligent Information Processing of the International Federation for Processing World Computer Congress. Beijing 2000.
28. The Protégé Ontology Editor and Knowledge Acquisition System. Available at: http://protege. stanford.edu/index.html. Accessed Aug 28, 2004.
29. Hulse NC, et al. Application of an XML-based Document Framework to Knowledge Content Authoring and Clinical Information System Development. Proc AMIA Symp 2003. p 870.
30. Intermountain Healthcare. Available at: http:// www. intermountainhealthcare.org. Accessed May 1, 2006.
31. Intermountain Healthcare Clinical Programs. Available at: http://www.intermountainhealth care.org/xp/ihc/physician/clinicalprograms. Accessed May 1, 2006.
32. Hougaard J. Developing evidence-based interdisciplinary care standards and implications for improving patient safety. Int J Med Inf 2004; 73 (7-8): 615-24.
33. Hulse NC, et al. The Knowledge Authoring Tool: A Flexible XML-based Knowledge Authoring Environment. J Am Med Inform Assoc 2005; 12 (4): 418-30.
34. Davis FD. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 1989; 13 (3): 319-40.
35. Bagozzi RP, Davis FD, Warshaw PR. Development and Test of a Theory of Technological Learning and Usage. Human Relations 1992; 45 (7): 659-86.
36. Ajzen I, Fishbein M. Understanding attitudes and predicting social behaviour. Eaglewood Cliffs, NJ: Prentice-Hall; 1980.
37. Hu PJ, et al. Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management of Information Systems 1999; 16 (2): 91-112.
38. Chismar WG, Wiley-Patton S. Test of the technology acceptance model for the internet in pediatrics. Proc AMIA Symp 2002. pp 155-9.
39. Wilson EV, Lankton NK. Modeling patients' acceptance of provider-delivered e-health. J Am Med Inform Assoc 2004; 11 (4): 241-8.
40. Hooff B v d, et al. Knowledge Sharing in Knowledge Communities in Communities and Technologies. M. Huysman (ed.). The Netherlands: Kluwer Academic Publishers; 2003. pp 119-41.
41. Adams DA, Nelson RR, Todd PA. Perceived Usefulness, Ease of Use, and Usage of Information Technology - a Replication. MIS Quarterly 1992; 16 (2): 227-47.
42. Heilman G, White D. On General Application of the Technology Acceptance Model. Available at: http://mcb.unco.edu/pdfs/WPS/TAM-2.doc. Accessed Sep. 15, 2004.
43. Schumacker RE, Lomax RG. A Beginner's Guide to Structural Equation Modeling. 2nd ed. Mahwah, NJ: Lawrence Erlbaum Associates Inc: 2004. p 498.
44. SPSS Amos 5.0 Available at: http://www.spss. com/amos/. Accessed Nov 15, 2004.
45. Nunally JC. Pyschometric Theory. 2nd ed. New York: McGraw-Hill; 1978.
46. Hoyl RH (ed.). Structural Equation Modeling: Concepts, Issues and Applications. Thousand Oaks, CA: Sage; 1995.
47. Bollen KA. Overall Fit in Covariance Structural Models: Two Types of Sample Size Effects. Psychological Bulletin 1990; 107 (2): 256-9.
48. Hoelter J. The analysis of covariance structures: goodness-of-fit indices. Soc Methods & Research 1983; 11: 325-44.
49. Venkatesh V, Davis FD. A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science 2000; 46 (2): 186-204.