Nursing and Health Informatics Contributions to Monitoring Nursing Workload and Staffing Optimization
DOI:
https://doi.org/10.22399/ijcesen.4554Keywords:
Nursing work, health informatics, workload monitoring, staffing optimization, patient care, electronic health recordsAbstract
Nursing and health informatics play a pivotal role in monitoring nursing workload and optimizing staffing levels, ultimately enhancing patient care and outcomes. By harnessing advanced data analytics and electronic health records (EHRs), healthcare facilities can assess real-time workload indicators, such as patient-to-nurse ratios, time spent on various tasks, and patient acuity levels. These insights allow nurse managers to make informed decisions about staffing, ensuring that sufficient personnel are available to meet patient needs while reducing the risk of burnout among healthcare providers. Furthermore, the integration of clinical decision support systems within nursing workflows empowers nurses to effectively prioritize their tasks, thus improving overall efficiency and satisfaction. In addition to real-time monitoring, nursing and health informatics facilitate long-term staffing optimization by identifying trends and patterns in workload data over time. By analyzing historical data, organizations can predict peak demand periods, such as flu season or post-operative care phases, enabling proactive staffing adjustments. The use of telehealth services and remote patient monitoring also allows nurses to manage larger patient populations without compromising care quality. Ultimately, leveraging informatics in nursing not only streamlines operations but also fosters a culture of continuous improvement, where data-driven decisions enhance the quality of patient care, nurse well-being, and operational efficiency.
References
1. Hurst K. UK ward design: patient dependency, nursing workload, staffing and quality: an observational study. Int. J. Nurs. Stud. 2008;45(3):370–381. doi: 10.1016/j.ijnurstu.2006.09.007.
2. Griffiths P., Ball J., Drennan J., Dall'Ora C., Jones J., Maruotti A., Pope C., Recio Saucedo A., Simon M. Nurse staffing and patient outcomes: strengths and limitations of the evidence to inform policy and practice. A review and discussion paper based on evidence reviewed for the National Institute for Health and Care Excellence Safe Staffing guideline development. Int. J. Nurs. Stud. 2016;63:213–225. doi: 10.1016/j.ijnurstu.2016.03.012.
3. Aydelotte M.K. Public Health Service (DHEW); Washington: 1973. Nurse Staffing Methodology, A Review and Critique of Selected Literature. D.C. Div. of Nursing., Washington.
4. Fagerstrom L., Rauhala A. Benchmarking in nursing care by the RAFAELA patient classification system – a possibility for nurse managers. J. Nurs. Manag. 2007;15(7):683–692. doi: 10.1111/j.1365-2934.2006.00728.x.
5. Brennan C.W., Daly B.J., Jones K.R. State of the science: the relationship between nurse staffing and patient outcomes. Western J. Nurs. Res. 2013;35(6):760–794. doi: 10.1177/0193945913476577.
6. Audit Commission . Audit Commission; London: 2001. Acute Hospital Portfolio Review: Ward Staffing.
7. de Cordova P.B., Lucero R.J., Hyun S., Quinlan P., Price K., Stone P.W. Using the nursing interventions classification as a potential measure of nurse workload. J. Nurs. Care Qual. 2010;25(1):39–45. doi: 10.1097/NCQ.0b013e3181b3e69d.
8. Ball J.E., Bruyneel L., Aiken L.H., Sermeus W., Sloane D.M., Rafferty A.M., Lindqvist R., Tishelman C., Griffiths P., Consortium R.N.C. Post-operative mortality, missed care and nurse staffing in nine countries: a cross-sectional study. Int. J. Nurs. Stud. 2018;78:10–15. doi: 10.1016/j.ijnurstu.2017.08.004.
9. Fagerström L., Lønning K., Andersen M.H. The RAFAELA system: a workforce planning tool for nurse staffing and human resource management: Lisbeth Fagerström and colleagues describe a method pioneered in Finnish hospitals that aims to uphold staffing levels in accordance with patients’ care needs. Nurs. Manag. 2014;21(2):30–36. doi: 10.7748/nm2014.04.21.2.30.e1199.
10. Harper P.R., Powell N.H., Williams J.E. Modelling the size and skill-mix of hospital nursing teams. J. Oper. Res. Soc. 2010;61(5):768–779.
11. Griffiths P., Recio-Saucedo A., Dall'Ora C., Briggs J., Maruotti A., Meredith P., Smith G.B., Ball J., Missed Care Study Group The association between nurse staffing and omissions in nursing care: a systematic review. J. Adv. Nurs. 2018;74(7):1474–1487. doi: 10.1111/jan.13564.
12. Fagerstrom L., Kinnunen M., Saarela J. Nursing workload, patient safety incidents and mortality: an observational study from Finland. BMJ Open. 2018;8(4) doi: 10.1136/bmjopen-2017-016367.
13. Drennan J., Duffield C., Scott A.P., Ball J., Brady N.M., Murphy A., Dahly D., Savage E., Corcoran P., Hegarty J., Griffiths P. A protocol to measure the impact of intentional changes to nurse staffing and skill-mix in medical and surgical wards. J. Adv. Nurs. 2018;74(12):2912–2921. doi: 10.1111/jan.13796.
14. Brennan C.W., Daly B.J. Methodological challenges of validating a clinical decision-making tool in the practice environment. Western J. Nurs. Res. 2015;37(4):536–545. doi: 10.1177/0193945914539738.
15. Edwardson S.R., Giovannetti P.B. Nursing workload measurement systems. Annu. Rev. Nurs. Res. 1994;12(1):95–123.
16. Butler M., Collins R., Drennan J., Halligan P., O'Mathúna D.P., Schultz T.J., Sheridan A., Vilis E. Hospital nurse staffing models and patient and staff-related outcomes. Cochrane Database Syst. Rev. 2011;7 doi: 10.1002/14651858.CD007019.pub2.
17. Griffiths P., Ball J., Bloor K., Böhning D., Briggs J., Dall'Ora C., Iongh A.D., Jones J., Kovacs C., Maruotti A., Meredith P., Prytherch D., Saucedo A.R., Redfern O., Schmidt P., Sinden N., Smith G. Nurse staffing levels, missed vital signs observations and mortality in hospital wards: retrospective longitudinal observational study using routinely collected data. Health Serv. Deliv. Res. J. 2018;6(38) (whole issue)
18. Aiken L.H., Sloane D., Griffiths P., Rafferty A.M., Bruyneel L., McHugh M., Maier C.B., Moreno-Casbas T., Ball J.E., Ausserhofer D., Sermeus W., Consortium R.C. Nursing skill mix in European hospitals: cross-sectional study of the association with mortality, patient ratings, and quality of care. BMJ Qual. Saf. 2017;26(7):559–568. doi: 10.1136/bmjqs-2016-005567.
19. Fagerström L., Rainio A.-K. Professional assessment of optimal nursing care intensity level: a new method of assessing personnel resources for nursing care. J. Clin. Nurs. 1999;8(4):369–379. doi: 10.1046/j.1365-2702.1999.00266.x.
20. Fasoli D.R., Fincke B.G., Haddock K.S. Going beyond patient classification systems to create an evidence-based staffing methodology. J. Nurs. Adm. 2011;41(10):434–439. doi: 10.1097/NNA.0b013e31822edd8e.
21. Barham C., Begum N. Sickness absence from work in the UK. Labour Market Trends. 2005;113(4):149–158.
22. Hoi S.Y., Ismail N., Ong L.C., Kang J. Determining nurse staffing needs: the workload intensity measurement system. J. Nurs. Manag. 2010;18(1):44–53. doi: 10.1111/j.1365-2834.2009.01045.x.
23. Bridges J., Griffiths P., Oliver E., Pickering R.M. Hospital nurse staffing and staff–patient interactions: an observational study. BMJ Qual. Saf. 2019;29(9):706–713. doi: 10.1136/bmjqs-2018-008948.
24. Griffiths P., Ball J., Drennan J., James L., Jones J., Recio-Saucedo A., Simon M. University of Southampton Centre for Innovation and Leadership in Health Sciences; 2014. The Association Between Patient Safety Outcomes and Nurse/Healthcare Assistant Skill Mix and Staffing Levels and Factors That May Influence Staffing Requirements (NICE Evidence Review)
25. Donaldson N., Shapiro S. Impact of California mandated acute care hospital nurse staffing ratios: a literature synthesis. Policy Polit. Nurs. Pract. 2010;11(3):184–201. doi: 10.1177/1527154410392240.
26. Arthur T., James N. Determining nurse staffing levels: a critical review of the literature. J. Adv. Nurs. 1994;19(3):558–565. doi: 10.1111/j.1365-2648.1994.tb01121.x.
27. Fasoli D.R., Haddock K.S. Results of an integrative review of patient classification systems. Annu. Rev. Nurs. Res. 2010;28:295–316. doi: 10.1891/0739-6686.28.295.
28. Fenton K., Casey A. A tool to calculate safe nurse staffing levels. Nurs. Times. 2015;111(3):12–14.
29. Arksey H., O'Malley L. Scoping studies: towards a methodological framework. Int. J. Soc. Res. Methodol. 2005;8(1):19–32.
30. Griffiths P., Maruotti A., Recio Saucedo A., Redfern O.C., Ball J.E., Briggs J., Dall'Ora C., Schmidt P.E., Smith G.B., Missed Care Study Group Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort study. BMJ Qual. Saf. 2019;28(8):609–617. doi: 10.1136/bmjqs-2018-008043.
31. Ball J., Barker H., Griffiths P., Jones J., Lawless J., Burton C.R., Couch R., Rycroft-Malone J. University of Southampton; Southampton: 2019. Implementation, Impact and Costs of Policies for Safe Staffing In Acute Trusts: Report to Funders.
32. Baernholdt M., Cox K., Scully K. Using clinical data to capture nurse workload: implications for staffing and safety. CIN: computers, Informatics. Nursing. 2010;28(4):229–234. doi: 10.1097/NCN.0b013e3181e1e57d.
33. Gabbay U., Bukchin M. Does daily nurse staffing match ward workload variability? Three hospitals' experiences. Int. J. Health Care Qual. Assur. 2009;22(6):625–641. doi: 10.1108/09526860910986885.
34. Davis A., Mehrotra S., Holl J., Daskin M.S. Nurse staffing under demand uncertainty to reduce costs and enhance patient safety. Asia-Pac. J. Oper. Res. 2014;31(01)
35. Beswick S., Hill P.D., Anderson M.A. Comparison of nurse workload approaches. J. Nurs. Manag. 2010;18(5):592–598. doi: 10.1111/j.1365-2834.2010.01124.x.
36. Allocate software, 2017. SafeCare. In: Secondary SafeCare. (accessed).
37. Hurst K. Nuffield Institute for Health; 2002. Selecting and Applying Methods for Estimating the Size and Mix of Nursing Teams: a Systematic Review of the Literature Commissioned by the Department of Health.
38. Francis, R., 2013. Report of the Mid Staffordshire NHS Foundation Inquiry. The Stationary Office, London.
39. Bruyneel L., Li B., Ausserhofer D., Lesaffre E., Dumitrescu I., Smith H.L., Sloane D.M., Aiken L.H., Sermeus W. Organization of hospital nursing, provision of nursing care, and patient experiences with care in Europe. Med. Care Res. Rev. 2015;72(6):643–664. doi: 10.1177/1077558715589188.
40. Brennan C.W., Daly B.J., Dawson N.V., Higgins P.A., Jones K.R., Madigan E., Van Der Meulen J. The oncology acuity tool: a reliable, valid method for measuring patient acuity for nurse assignment decisions. J. Nurs. Meas. 2012;20(3):155. doi: 10.1891/1061-3749.20.3.155.
41. Ferguson-Paré M., Bandurchin A. The Ontario nursing workload demonstration projects: rethinking how we measure, cost and plan the work of nurses. Nurs. Leadersh. 2010;23:20–32. doi: 10.12927/cjnl.2010.21745.
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