Nursing Care and Documentation Assistant with an Electronic Nursing Management System in Neonatal Intensive Care Unit

Document Type : Original Article

Authors

1 Nursing and Midwifery Care Research Center, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran

2 Pediatric Department, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran

3 Faculty of Nursing and Midwifery, Khorasgan Branch, Islamic Azad University, Isfahan, Iran

4 Amin Hospital, Isfahan, Iran

Abstract

Background: All nursing cares require decision-making, and the ability to make the best decisions impact upon the quality of nursing care. Moreover, authenticity and accuracy of the best cares may be questioned if not recorded and reported properly and in a standard manner. We aimed to design and implement an electronic nursing management
system and then evaluate satisfaction of nurses with the designed electronic system.
Methods: This technical action research was conducted in four phases of a) designing an electronic nursing process decision support system, b) designing an electronic nursing care documentation system, c) integrating these two systems and developing an electronic nursing information management system, and d) implementing the system and system satisfaction evaluation using quantitative methods (satisfaction questionnaire).
Results: The results of this project led to design and development of an electronic nursing information management system for neonatal intensive care units, which enables nurses to carry out standard care and documentation with high level of nursing satisfaction.
Conclusion: In order for an electronic system to support nurses in their care process, it must be accepted by nurses. If nurses are satisfied with the performance and nature of this system, they are much less likely to develop workaround solutions and much more likely to spend their efforts focusing on the professional aspects of nursing care.

Keywords

References

1. Najafi Anari HR, Rassuli M, Atashzadeh Shoorideh F, Namdari M. Auditing preterm neonatal nutrition nursing care. Quart J Nurs Manage. 2014; 2(4):29-37 (Persian).
 2. Jaloo Z. Auditing of nursing care in neonatal intensive unite. [Doctoral Dissertation]. Tehran, Iran: Shahid Beheshty University of Medical Science Faculty of Nursing and Midwifery; 2011.
 3. Montanholi LL, Merighi MA, de Jesus MC. The role of the nurse in the neonatal intensive care unit: between the ideal, the real and the possible. Rev Lat Am Enfermagem. 2011; 19(2):301-8.
 4. Portela F, Santos MF, Silva Á, Rua F, Abelha A, Machado J. Adoption of pervasive intelligent information systems in intensive medicine. Proc Technol. 2013; 9:1022-32.
 5. Varzeshnejad M, Rassouli M, Tafreshi MZ, Ghorbanpour RK, Moss J. Transcultural mapping and usability testing of the clinical care classification system for an Iranian neonatal ICU population. Comput Inform Nurs. 2014; 32(4):182–8.
 6. Ebadi M, Azarmi S, Pishgooei A. Critical thinking and decision making in nursing process. Ann Military Health Sci Res. 2010; 9(91):22-30 (Persian).
7. Lopes MH, Jensen R, da Cruz Dde A, Matos FG, Silveira PS, Ortega NR. Application of a model based on fuzzy logic for evaluating nursing diagnostic accuracy of students. Int J Med Inform. 2013; 82(9):875-81.
8. Pombo N, Araújo P, Viana J. Knowledge discovery in clinical decision support systems for pain management: a systematic review. Artif Intell Med. 2014; 60(1):1-11.
9. Yuan MJ, Finley GM, Long J, Mills C, Johnson RK. Evaluation of user interface and workflow design of a bedside nursing clinical decision support system. Interact J Med Res. 2013; 2(1):e4.
10. Weber S. Impacts of clinical decision support technology on nursing and medical practice in U.S. critical care. Canadian J Nurs Inform. 2010; 5(4):1094.
11. Ebadi M, Azarmi S, Farsi Z, Pishgoeei AH. Critical thinking and decision making in nursing process. J Aja Nurs. 2012; 12(1):30-3 (Persian).
12. Habibzadeh H, Khajehali N, Mohamadpour Y. Effect of evidence-based nursing training on nursing students ability in executive skill of nursing process in Urmia University of Medical Sciences, 2013. J Urmia Nurs Midwifery Facul. 2013; 11(4):284-92 (Persian).
13. Sayadi N, Rokhafroz D. Nursing students’ perspectives about a mobile software on nursing process for bedside use. Iran J Med Educ. 2013; 12(12):975-81.
14. Hao AT, Wu LP, Kumar A, Jian WS, Huang LF, Kao CC, et al. Nursing process decision support system for urology ward. Int J Med Inform. 2013; 82(7):604-12.
15. Lee S. Features of computerized clinical decision support systems supportive of nursing practice: a literature review. Comput Inform Nurs. 2013; 31(10):477-95.
 16. Dal Sasso GT, Barra DC, Paese F, de Almeida SR, Rios GC, Marinho MM, et al. Computerized nursingprocess: methodology to establish associations between clinical assessment, diagnosis, interventions, and outcomes. Rev Esc Enferm USP. 2013; 47(1): 242-9.
17. Kim H, Dykes PC, Thomas D, Winfield LA, Rocha RA. A closer look at nursing documentation on paper forms: preparation for computerizing a nursing documentation system. Comput Biol Med. 2011; 41(4):182-9.
18. Abas HI, Yusof MM, Noah SA. The application of ontology in a clinical decision support system for acute postoperative pain management. Semantic Technology and Information Retrieval (STAIR), 2011 International Conference on IEEE, Kuala Lumpur, Malaysia; 2011.
 19. McCoy AB, Waitman LR, Lewis JB, Wright JA, Choma DP, Miller RA, et al. A framework for evaluating the appropriateness of clinical decision support alerts and responses. J Am Med Inform Assoc. 2012; 19(3):346-52.
 20. Murrells T, Robinson S, Griffiths P. Job satisfaction trends during nurses' early career. BMC Nurs. 2008; 7:7.
 21. Hayes B, Bonner A, Pryor J. Factors contributing to nurse job satisfaction in the acute hospital setting: a review of recent literature. J Nurs Manag. 2010; 18(7):804-14.
 22. Fiks AG. Designing computerized decision support that works for clinicians and families. Curr Probl Pediatr Adolesc Health Care. 2011; 41(3):60-88.
23. Jao CS, Hier DB. Clinical decision support systems: an effective pathway to reduce medical errors and improve patient safety. New York: INTECH Open Access Publisher; 2010.
24. Esfahani R. Technology in nursing care. Rafsanjan, Iran: Community Publication; 2012.
25. Su KW, Liu CL. A mobile Nursing Information System based on human-computer interaction design for improving quality of nursing. J Med Syst. 2012; 36(3):1139-53.
26. Azizi V, Lotfi M, Jalali F. Designing of electronic health record software in the nursing and midwifery faculty of Tabriz. Res Dev. 2012; 1(1):17-20.
 27. Tran TN, Ferner CS. Development of an electronic medical record system for the university of north Carolina Wilmington school of nursing. Symposium conducted at The International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government, Las Vegas, NV; 2011. 28. Mazlom SR. Development and assessment of computerized software for nursing process: a step toward promotion of nursing education and care. Iran J Med Educ. 2014; 14(4):312-22.
 29. Ammenwerth E, Rauchegger F, Ehlers F, Hirsch B, Schaubmayr C. Effect of a nursing information system on the quality of information processing in nursing: An evaluation study using the HISmonitor instrument. Int J Med Inform. 2011; 80(1):25-38.
30. Varzeshnezhad M, Rassouli M, Zagheri Tafreshi M, Kashef Ghorbanpour R. Validation of mapping and usage ability of clinical care classification system in nursing documentation in neonatal intensive care units. Health Inform Manage. 2013; 10(5):645-54. 31. Al Maqbali MA. Factors that influence nurses’ job satisfaction: a literature review. Nurs Manage. 2015; 22(2):30-7.

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