Development of a hand-held real-time decision support aid for critical care nursing

Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003

Volumn , Issue , 2003, Pages 9-

  Fortier, P ^a   Jagannathan, S ^a   Michel, H ^a   Dluhy, N ^b   Oneill, E ^b  

^a Department of Electrical and Computer Engineering   (United States)

^b UNIVERSITY OF MASSACHUSETTS DARTMOUTH   (United States)

Author keywords

critical care nursing tool; data mining; decision support system; outlier detection; wireless hand held devices

Indexed keywords

ANOMALY DETECTION; CLINICAL RESEARCH; DECISION SUPPORT SYSTEMS; HAND HELD COMPUTERS; NURSING; STATISTICS;

CLINICAL KNOWLEDGE; CONFIDENCE MEASURE; CRITICAL CARE; DATA MINING AND KNOWLEDGE DISCOVERY; REAL TIME DECISIONS; RULE-BASED LEARNING; SEQUENTIAL DECISIONS; WIRELESS HAND-HELD DEVICES;

DATA MINING;

EID: 84969522794     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HICSS.2003.1174355     Document Type: Conference Paper

References (80)

1. Agrawald, R., Agrawal, C., & Prasad, V. (July, 1999). First generation of large itemsets for association rules. IBM Technical Reports, RC21538.
2. Aspinall, M. J. (1979). Use of a decision tree to improve accuracy of nursing diagnosis. Nursing Research, 28, 182-185.
3. Averill, C, Marek, KD, Zielstorff, R, Kneedler, J, Delaney, C, & Milholland, DK (1998). ANA Standards for Nursing data sets in information systems, Computers in Nursing, 16(3), 157-161.
4. Barrows, H. S. & Feltovich, P. J. (1987). The clinical reasoning process. Medical Education, 21, 86-91.
5. Baumann, A. & Deber, (1989). The limits of decision analysis for rapid decision making in ICU nursing. Image: The Journal of Nursing Scholarship, 21, 69-71.
6. Benner,P. & Tanner, C. (1987). How experts use intuition. American Journal of Nursing, 87, 23-31
7. Benner, P, Tanner, C, & Chelsa, C. (1992). From beginner to expert: Gaining a differentiated clinical world in critical care nursing. Advanced in Nursing Science, 14, 13-2
8. Benner, P, Tanner, C, & Chelsa, C. (1996). Expertise in nursing practice. NewYork, Springer.
9. Benbenishty, R., & Treistman, R. (1998). The development and evaluation of a hybrid decision support system for clinical decision making. Social Work Research, 22(4), 195-204.
10. Benner, P. & Wrubel, J. (1982). Skilled clinical knowledge: The value of perceptual awareness. Nurse Educator, 7, 11-17.
11. Brailer, DJ (1999). Management of knowledge in the modern health care delivery system, Journal on Quality Improvement, 25(1), 6-19.
12. Ciafrani, K. L. (1984). The influence of the amount and relevance of data on identifying health problems. In M. J. Kim, G. K. McFarland, & A. M. McLane (Eds.) Classification of nursing diagnosis: Proceedings from the fifth annual conference. (pp. 159-161) St. Louis: Mosby.
13. Cioffi, J, & Markham, R. (1997). Clinical decision making by midwives: managing case complexity. Journal of Advanced Nursing, 25, 265-272.
14. Corcoran, S. A. (1986). Task complexity and nursing expertise as factors in decision making. Nursing Research, 35, 107-112.
15. Cullen, P. (1998). Gleaning patterns from practice: Intelligent systems in ambulatory care. Nursing Economic, 16(3), 133-137.
16. del Bueno, D. J. (1994). Why can't new grads think like nurses? Nurse Educator, 19, 9-11.
17. Dluhy, NM. (1995). Mapping knowledge in chronic illness. Journal of Advanced Nursing, 21, 1051-1058.
18. Dluhy, NM. (1996). Substantive area primacy: Use of multiple theoretical orientations and conceptual maps in synthesizing the knowledge base for nursing. In H.S. Kim (Ed.), Proceedings of the Fourth & Fifth Symposia of the Knowledge Development Series (pp. 87-98). Kingston, RI: University of Rhode Island.
19. Elstein, A. S., Schulman, L., & Sprafka, S.A. (1978). Medical problem solving: An analysis of clinical reasoning. Cambridge: Harvard University Press.
20. Fortier, P. (1998) Advanced Fisheries Management Information System, (AFMIS)", NSF Workshop on Distributed Information, Computation and Process Management for Scientific and Engineering Environments (DICPM)", Hernden, Va..
21. Fortier, P. & Smart, A. (2001) Web based E-government Data Distribution", Proceedings of the Hawaii International Conference on Systems Sciences.
22. Glaser, R. & Chi, M. (1988). Overview. In M. Chi, R. Glaser, & M. Farr (Eds) The nature of expertise.(pp. xv-xxvii) Hillsdale, NJ: Lawrence Erlbaum Assoc.
23. Goldfarb, S. (1999). The utility of decision support, clinical guidelines, and financial incentives as tools to achieve improved clinical performance. Journal of Quality Improvement. 25(3), 137-144.
24. Golding, A., & Rosenbloom, P. (1995). Improving accuracy by combining case based and rule based reasoning. Mitsubishi Electric Research Laboratories.
25. Gortner, SR (2000). Knowledge development in nursing: our historical roots and future opportunities. Nursing Outlook, 48, 60-67.
26. Grol, R., & Grimshaw, J. (1999). Evidence-based implementation of evidence-based medicine. Journal of Quality Improvement. 25(10), 503-513.
27. Guy-Marie, J., & Patel, V. (1990). Domain knowledge and hypothesis generation in diagnostic reasoning. Medical Decision Making, 10, 31-46.
28. Hajioff, S (1998). Computerized decision support systems: an overview. Health Informatics Journal. 4, 23-28.
29. Hamm, RM. (1988). Clinical intuition and clinical analysis: Expertise and the cognitive continuim. In J. Dowie & A. Elstein (Eds.), Professional judgment: A reader in clinical decision making (pp 78-105). London: Cambridge.
30. Hammond, K. R. (1996). Human judgment and social policy. New York: Oxford.
31. Harvey, RM.(1993). Nursing diagnosis by computers: an application of neural networks. Nursing Diagnosis, 4(1), 26-34.
32. Henry, SB. (1991). Effects of level of patients' acuity on clinical decision making of critical care nurses with varying levels of knowledge. Heart & Lung, 20, 478-485.
33. Henry, SB (1995). Nursing informatics: state of the science. Journal of Advanced Nursing, 22, 1182-1192.
34. Jones, J. (1988). Clinical reasoning in nursing. Journal of Advanced Nursing, 13, 185-192.
35. Joseph, G. & Patel, V. (1990). Domain knowledge and hypothesis generation in diagnostic reasoning. Medical Decision making, 10, 31-46.
36. Keeney, R. L. & Raiffe, H. (1976). Decisions with multiple objectives: Preference and value tradeoffs. New York: Wiley.
37. Lamond, D., Crow, R., Chase. J., Doggen, K., & Swinkels, M. (1996). Information sources used in decision making: considerations for simulation development. International Journal of Nursing Studies, 33, 47-57.
38. Lamond, D. & Farrell, S. (1998). The treatment of pressure sores: a comparison of novice and expert nurses' knowledge, information use, and decision accuracy. Journal of Advanced Nursing, 27, 280-286.
39. Lang, NM (1999). Discipline-based approaches to evidence-based practice: a view from nursing. Journal of Quality Improvement. 25(10), 539-544
40. Lauri, S., & Salantera, S. (1995). Decision-making models of Finnish nurses and public health nurses. Journal of Advanced Nursing, 21, 520-527.
41. Lauri, S., & Salantera, S. (1998). Decision- making models in different fields of nursing. Research in Nursing and Health, 21, 443-452.
42. Lent, B., Swami, A., & Widom, J. (1997). Clustering association rules. ICDE, 220-231.
43. Matchar, D., & Samsa, G. (1999). The role of evidence reports in evidence-based medicine. Journal of Quality Improvement, 25(10), 522-528.
44. Mellers, B. A., Schwartz, A., & Cooke, A. (1998). Judgment and decision making. Annual Review of Psychology. 49, 447-477.
45. Miller, PL, & Frawley, SJ (1995). Trade-offs in producing patient-specific recommendations from a computer-based clinical guideline: a case study. Journal of American Medical Informatics Assoc., 2, 258-242.
46. Montoya, I, & Carlson, JW (1996). Point-of-care systems, informatics, and health care delivery. Health Care Supervisor. 15(2), 17-26.
47. Mukhin, D., P. Fortier, A. Sanchez-Ruiz, (2000) Towards a Framework for Large Itemsets Generation in Association Rules Mining, Proceedings of the Information Reuse and Integration (IRI-2000) conference.
48. Newell, A. & Simon, H.A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice Hall.
49. Nurius, P. (1999). Practitioners' perspectives on sound reasoning: adding a worker-in-context component. Administration in Social Work, 23(1), 1-23.
50. O'Neill, E. S. (1994a) Home health nurses' use of base rate information in diagnostic reasoning. Advances in Nursing Science, 17, 75-86.
51. O'Neill, E. S. (1994b) The influence of experience on community health nurses' use of the similarity heuristic in diagnostic reasoning. Scholarly Inquiry for Nursing Practice. 8, 261-271.
52. O'Neill, E. S. (1995) Heuristics reasoning in diagnostic judgment. Journal of Professional Nursing, 11, 239-245.
53. O'Neill, E. S. (1999). Strengthening graduate students' clinical reasoning. Nurse Educator, 24, 11-15.
54. O'Neill, ES., & Dluhy, NM. (1997). A longitudinal model for fostering critical thinking and diagnostic reasoning. Journal of Advanced Nursing, 26, 825-832.
55. O'Neill, ES., & Dluhy, NM. (2000). Utility of structured care approaches in education and clinical practice. Nursing Outlook, 48(3), 132-135.
56. Ozbolt, J., & Graves, J. (1993). Clinical nursing informatics: developing tools for knowledge workers. Nursing Clinics of North America, 28(2), 407-425.
57. Panniers, T. L. & Walker, E. K. (1994). A decision-analytic approach to clinical nursing. Nursing Research, 43, 245-249.
58. Patrikalakis, N., P. Fortier, Y. Ionnidis, C. Nikolaou, A. Robinson, J. Rossignac, A. Vinacua, S. Abrams, (1999) "Distributed Information, Computation, and Process Management for Scientific and Engineering Environments", Digital Libraries Magazine, Vol. 5, No. 4.
59. Payne, J. (1982). Contingent decision behavior. Psychological Bulletin, 92, 382-402.
60. Patel V., Evans, D., & Groen, G. (1988). Biomedical knowledge and clinical reasoning. In D. Evans & V. Patel, Cognitive science and medicine (pp. 53-106). Cambridge: Massachusetts Institute of Technology.
61. Preece, J. (1994). Human-computer interaction. Harlow, United Kingdom: Addison-Wesley.
62. Pyles, S. H. & Stern, P.N. (1983). Discovery of nursing gestalt in critical care nursing: The importance of the grey gorilla syndrome. Image: The Journal of Nursing Scholarship, 15, 42-45.
63. Ripley, BD (1996). Pattern recognition and neural networks. New York, NY: University of Cambridge Press.
64. Rolfe, G. (1997). Science, abduction and the fuzzy nurse: an exploration of expertise. Journal of Advanced Nursing. 25, 1070-1075.
65. Rothschild, B., A. Robinson, M. Miller, J. Bisagni, A. Cabeza, D. Cai, P. Fortier, A. Gangopadhyay, P. Haley, H. Kim, L. Lannerole, W. Leslie, C. Lozano, A. Soza, (1998) Confronting Uncertainty in the Evaluation and Implementation of Fisheries Management Systems", Proceedings of the ICES Symposium.
66. Russell, S. & Norvig, P. (1995). Artificial intelligence: a modern approach. Upper Saddle River, NJ: Prentice-Hall.
67. Ruyle, KE. (1993). Knowledge engineering (Or, catching black cats in dark rooms). Performance and Instruction, 32(3), 1-9.
68. Schutzman, A. (1999). Easy steps to point-of-care computing. Health Management Technology, 20(6), 20-24
69. Shamian, J. (1991). Effect of teaching decision analysis on student nurses' clinical intervention decision making. Research in Nursing and Health, 14, 59-6.
70. Shoemaker, P. J. (1982). The expected utility model, its variants, purpose, evidence, and limitations. Journal of Economic Literature, XX, 529-563.
71. Sinclair, VG. (1990). Potential effects of decision support systems on the role of the nurse. Computers in Nursing, 8(2), 60-65.
72. Snyder, D. (2000). Computer-assisted judgment: defining strengths and liabilities. Psychological Assessment. 12(1), 52-60.
73. Snyder-Halpern. R (1999). Assessing health care setting readiness for point of care computerized clinical decision support system innovations. Outcomes Management for Nursing Practice, 3(3), 118-127.
74. Tabek, N., Bar Tal, Y., & Cohen-Mansfield, J. (1996). Clinical decision making of experienced and novice nurses. Western Journal of Nursing Research, 18, pp. 534-547.
75. Tanner, C. A. (1989). Use of research in clinical judgment. In C. A. Tanner & C. A. Lindeman, Using research in nursing practice (pp. 19-34). New York: National League of Nursing.
76. Tanner, C. A., Padrick, K., Westfall, U., & Putzier, D. (1987). Diagnostic reasoning strategies of nurses and nursing students. Nursing Research, 36, 358-363.
77. Westfall, U., Tanner, C., Putzier, D., & Padrick, K. (1986). Activating clinical inferences: A component of diagnostic reasoning in nursing. Research in Nursing and Health, 9, 269-277.
78. White, J. E., Nativio, D. G., Kobert, S., & Engberg, S. J. (1992). Content and process in clinical decision making by nurse practitioners. Image: The Journal of Nursing Scholarship, 24, 153-158.
79. Witteman, CLM, & Kunst, H (1999). SelectCare - in aid of psychotherapists' treatment decisions. Computers in Human Behavior, 15, 143-159.
80. Zielstorff, RD. (1998). Online practice guidelines: issues and obstacles and future prospects. Journal of the American Medical Informatics Association, 5(3), 227-236.