Predictive analytics in nursing informatics

Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research

Volumn , Issue , 2014, Pages 969-974

  Koch, Sven ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

NURSING INFORMATICS;

PREDICTIVE ANALYTICS;

EID: 84943544048     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (20)

1. Berger, A.M., Berger, C.R., 2004. Data mining as a tool for research and knowledge development in nursing. Comput. Inform. Nurs. 22 (3), 123-131.
2. Collins, S.A., Cato, K., Albers, D., Scott, K., Stetson, PD, Bakken, S, Vawdrey, D.K., 2013. Relationship between nursing documentation and patients' mortality. Am. J. Crit. Care. 22 (4), 306-313.
3. Cook, S.E., 1942. The Life of Florence Nightingale. MacMillan & Co. Ltd, London.
4. Cuthbert, J.P., Corrigan, J.D., Harrison-Felix, C., Coronado, V., Dijkers, M.P., Heinemann, A.W., et al., 2011. Factors that predict acute hospitalization discharge disposition for adults with moderate to severe traumatic brain injury. Arch. Phys. Med. Rehabil. 92 (5), 721-730.
5. Dowding, D.W., Currie, L.M., Borycki, E., Clamp, S., Favela, J., Fitzpatrick, G., et al., 2013. International priorities for research in nursing informatics for patient care. Stud. Health Technol. Inform. 192, 372-376.
6. Görges, M., Westenskow, D.R., Kück, K., Orr, J.A., 2010. A tool predicting future mean arterial blood pressure values improves the titration of vasoactive drugs. J. Clin. Monit. Comput. 24 (3), 223-235.
7. Hanrahan, K., McCarthy, A.M., Kleiber, C., Ataman, K., Street, W.N., Zimmerman, M.B., et al., 2012. Building a computer program to support children, parents, and distraction during healthcare procedures. Comput. Inform. Nurs. 30 (10), 554-561.
8. Harper, E.M., 2012. Staffing based on evidence: can health information technology make it possible? Nurs. Econ. 30 (5), 262-267, 281.
9. Hyun, S., Bakken, S., Douglas, K., Stone, P.W., 2008. Evidence-based staffing: potential roles for informatics. Nurs. Econ. 26 (3), 151-158, 173.
10. Koch, S.H., Weir, C., Haar, M., Staggers, N., Agutter, J., Görges, M., et al., 2012. Intensive care unit nurses' information needs and recommendations for integrated displays to improve nurses' situation awareness. J. Am. Med. Inform. Assoc. 19 (4), 583-590.
11. Koch, S.H., Weir, C., Westenskow, D., Gondan, M., Agutter, J., Haar, M., et al., 2013. Evaluation of the effect of information integration in displays for ICU nurses on situation awareness and task completion time: a prospective randomized controlled study. Int. J. Med. Inform. 82 (8), 665-675.
12. Lee, T.T., Lin, K.C., Mills, M.E., Kuo, Y.H., 2012. Factors related to the prevention and management of pressure ulcers. Comput. Inform. Nurs. 30 (9), 489-495.
13. Matney, S.A., Maddox, L.J., Staggers, N., 2014. Nurses as knowledge workers: is there evidence of knowledge in patient handoffs? West. J. Nurs. Res. 36 (2), 171-190.
14. Moen, A., Mæland Knudsen, L.M., 2013. Nursing informatics: decades of contribution to health informatics. Healthc. Inform. Res. 19 (2), 86-92.
15. Oh, H.S., Seo, W.S., 2013. Development of a decision tree analysis model that predicts recovery from acute brain injury. Jpn. J. Nurs. Sci. 10 (1), 89-97.
16. Scholes, M., Barber, B., 1976. The role of computers in nursing. Nurs. Mirror Midwives J. 143 (13), 46-48.
17. Sharifi, F., Ghaderpanahi, M., Fakhrzadeh, H., Mirarefin, M., Badamchizadeh, Z., Tajalizadekhoob, Y., et al., 2012. Older people's mortality index: development of a practical model for prediction of mortality in nursing homes (Kahrizak Elderly Study). Geriatr. Gerontol. Int. 12 (1), 36-45.
18. Staggers, N., Blaz, J., 2013. Research on nursing handoffs for medical and surgical settings: an integrative review. J. Adv. Nurs. 69 (2), 1365-2648.
19. van der Zwaluw, C.S., Valentijn, S.A., Nieuwenhuis-Mark, R., Rasquin, S.M., van Heugten, C.M., 2011. Cognitive functioning in the acute phase poststroke: a predictor of discharge destination? J. Stroke Cerebrovasc. Dis. 20 (6), 549-555.
20. Williams, L.M., Hubbard, K.E., Daye, O., Barden, C., 2012. Telenursing in the intensive care unit: transforming nursing practice. Crit. Care Nurs. 32 (6), 62-69.