Extraction of Useful Knowledge for Making Roster by Analyzing Nurse Scheduling Data and Incident Data

Koichiro Okada, Masanori Akiyoshi, Yukie Majima, Hiroe Takahashi, Sayuri Tanaka, Misae Tanioka, Miwako Hori

2016

Abstract

As described herein, we sought knowledge necessary to make a roster for nurses by analyzing nurse scheduling data and incident reports on the night shift. Even today, it is difficult to say that computers are used effectively producing nurse rosters. One reason is that algorithms suggested by researchers are not practical for nurses working at various sites because they are built without consideration of medical accidents known as “incidents”. Another reason is that the study of incidents from a team's perspective, which is the original mode of working as a nurse, is not available. Therefore, this study was conducted for discovery of knowledge to help produce a nursing roster by analyzing nurse scheduling data and incident data for night shifts from the viewpoint of teams, which is the original mode of working for nurses.

References

  1. Bates, D. W., Cullen, D. J., Laird, N., Petersen, L. A., Small, S. D., Servi, D., Laffel, G., Sweitzer, B. J., Shea, B. F., Hallisey, R., Vliet, M. V., Nemeskal, R. & Leape, L. L. 1995. Incidence of adverse drug events and potential adverse drug events: Implications for prevention. The Journal of the American Medical Association, 274, 29-34.
  2. Burke, E. K., Causmaecker, P. D., Berghe, G. V. & Landeghem, H. V. 2004. The state of the art of nurse rostering. Journal of Scheduling, 7, 441-499.
  3. Dowsland, K. A. 1998. Nurse scheduling with tabu search and strategic oscillation. European Journal of Operational Research, 106, 393-407.
  4. Ikegami, A. 2005 Nurse Scheduling - Site research, Modeling and Algorithms -. Proceedings of the Institute of Statistical Mathematics, 53, 231-259.
  5. Ikegami, A., Aizawa, M., Ohkura, M., Wakasa, K., Matsudaira, N. & Kosugo, R. 1995. A preliminary study of the development of a scheduling system for hospital nurses. Journal of Science of Labour, 71, 413-423.
  6. Ikegami, A., Tanaka, Y. 2014. Re-challenge to the nurse scheduling problem (in Japanese). The operations research as a management science, 59, 26-33.
  7. Millar, H. H., Kiragu, M. 1998. Cyclic and noncyclic scheduling of 12 h shift nurses by network programming. European Journal of Operational Research, 104, 582-592.
  8. Miller, H. E., Pierskalla, W. P. & Rath, G. J. 1976. Nurse scheduling using mathematical programming. Operations Research, 24, 857-870.
  9. Mizuta, M., Kousaka R., Tsuji, S., Nakano, M. & Inoue, J. 2004. The degree of psychological distress and turnover wish among new graduate nurses. The bulletin of Nursing College, Wakayama Medical University, 7, 21- 27.
  10. Onozawa, Y., Yoshioka, N., Kanbayashi, M., Tosaka, K., Tamura, T. & Kawaguti H. 2000. A study of incident on clinical nursing: incident mode and nurses perceptions. The bulletin of Niigata College of Nursing, 6, 71-90.
  11. Smith-Daniels, V. L., Schweikhart, S. B. & Smith-Daniels, 7
  12. … 0 2 D. E. 1988. Capacity management in health care services: Review and future research directions. Decision Sciences, 19, 889-919.
  13. Tassopoulos, I. X., Solos, I. P. & Beligiannis, G. N. 2015. A two-phase adaptive variable neighborhood approach for nurse rostering. Computers and Operations Research, 60, September 2015, 150-169.
  14. Warner, D. M. 1976. Scheduling nursing personnel according to nursing preference: A mathematical programming approach. Operations Research, 24, 842- 856.
  15. Zaki, M. J. 2001. SPADE: an efficient algorithm for mining frequent sequences. Machine Learning, 42, 31- 60.
Download


Paper Citation


in Harvard Style

Okada K., Akiyoshi M., Majima Y., Takahashi H., Tanaka S., Tanioka M. and Hori M. (2016). Extraction of Useful Knowledge for Making Roster by Analyzing Nurse Scheduling Data and Incident Data . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 383-388. DOI: 10.5220/0005776303830388


in Bibtex Style

@conference{healthinf16,
author={Koichiro Okada and Masanori Akiyoshi and Yukie Majima and Hiroe Takahashi and Sayuri Tanaka and Misae Tanioka and Miwako Hori},
title={Extraction of Useful Knowledge for Making Roster by Analyzing Nurse Scheduling Data and Incident Data},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)},
year={2016},
pages={383-388},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005776303830388},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)
TI - Extraction of Useful Knowledge for Making Roster by Analyzing Nurse Scheduling Data and Incident Data
SN - 978-989-758-170-0
AU - Okada K.
AU - Akiyoshi M.
AU - Majima Y.
AU - Takahashi H.
AU - Tanaka S.
AU - Tanioka M.
AU - Hori M.
PY - 2016
SP - 383
EP - 388
DO - 10.5220/0005776303830388