Utilisation Of AI In Nursing Management Within Hospital Settings — Wong Lee Sia & Dr Noor Hasliza Che Seman

The advent of AI in nursing services represents a transformative step in health care technology, and is poised to elevate patient care quality and streamline nursing operations.

The advent of artificial intelligence (AI) in health care has revolutionised various aspects of patient care and hospital management.

In nursing management within hospital settings, AI’s role is becoming increasingly pivotal. AI technologies, including machine learning, data analytics, and the Internet of Things (IoT), are now integral parts of the health care ecosystem.

Their application in nursing management is enhancing decision-making processes, patient care, and overall operational efficiency.

Improvement In Nursing Care And Workload Management

One of the primary applications of AI in nursing is in the optimisation of nurse-to-patient assignments. Advanced AI tools, notably prescriptive and predictive analytics, are used to create more balanced distributions of nursing workloads.

These technologies consider various factors, such as patient acuity, nurse expertise, and available resources, to assign nurses to patients in a way that maximises efficiency and care quality.

On the other hand, AI also contributes to nursing management by streamlining and automating routine administrative tasks. AI-powered systems can handle scheduling, payroll management, and resource allocation, allowing nursing managers to focus more on strategic decision-making and patient care coordination.

This not only reduces the burden of paperwork, but also minimises the risk of human errors, ensuring a smoother and more efficient workflow.

AI algorithms can analyse historical data, current patient loads, and seasonal variations to optimize staffing levels. Nursing managers can use these insights to adjust staffing schedules, ensuring the right number of nurses are available at all times.

This not only improves patient care by maintaining appropriate nurse-to-patient ratios, but also helps manage labour costs more effectively.

AI’s predictive analytics capabilities have proven invaluable in enhancing patient care. By analysing vast amount of data, AI can predict patient trends, helping nursing managers anticipate potential complications and allocate resources more effectively.

This proactive approach enables health care providers to intervene early, preventing adverse events and improving overall patient outcomes.

AI-driven tools assist nursing managers in developing personalised care plans for patients. By analysing individual patient data, including medical history, preferences, and responses to treatment, AI can recommend tailored care plans.

This not only improves patient satisfaction, but also contributes to more efficient resource allocation as health care providers can deliver targeted interventions.

The fusion of AI and the Internet of Things (IoT) in nursing services represents a transformative step in health care technology. This integration is poised to elevate patient care quality and streamline nursing operations.

However, this technological convergence also introduces unique challenges, necessitating meticulous consideration and adept management.

Conclusion

The integration of AI and IoT in nursing services holds a promising future in health care. It has the potential to significantly elevate patient care and improve operational efficiency.

However, realising this potential requires overcoming challenges related to technology, ethics, and training.

Ensuring that this technological evolution harmonizes with the intrinsic human touch of nursing is essential for the success of this integration.

Wong Lee Sia and Dr Noor Hasliza Che Seman are from the Department of Nursing, School of Medical and Life Sciences, Sunway University.

  • This is the personal opinion of the writer or publication and does not necessarily represent the views of CodeBlue.

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