Unit 5 Discussion: Health Information System Workflow and Innovation Evaluating My Professional

Unit 5 Discussion: Health Information System Workflow and Innovation

Evaluating My Professional Practice

Communication and information technologies and other physical management technologies applied to the field of Nursing are on the way to revolutionizing traditional uses and customs in the profession (Booth et al., 2021). Technological advances have changed – and will continue to change – how nursing professionals care for their patients, but they have also modified the workflow and the scope of human errors. By extension, these technologies make nurses’ work safer and less physically demanding (Garcia-Dia, 2020). Although these new technologies can disrupt healthcare, it is clear that technologies such as smart wearable devices, big data analytics, artificial intelligence, remote supervision, virtual assistance, and the Internet of Things can improve results, patients’ self-care, continuity of care, clinical trials, digital therapies, therapeutic decisions, and medical diagnoses (Molyneux, 2023). Digital tools are a promising solution since they allow, through distance, to provide health information to diagnose, monitor, and treat patients remotely, which improves the quality of professional care and guarantees greater effectiveness. These digital tools increase patient empowerment and improve their involvement in decision-making about their health and the control of their diseases.

Artificial Intelligence in Healthcare Systems

Technology has allowed nursing professionals to carry out their daily work more efficiently and effectively. One of the most significant technologies is artificial intelligence (AI) (Ronquillo et al., 2021). AI can help nurses develop more effective and efficient treatment plans and diagnose more accurately. AI also helps nurses monitor patients more efficiently. It means they can detect any health problems before they become serious problems (Pailaha, 2023). AI also helps nursing professionals collect and manage patient data and perform other administrative tasks digitally, increasing healthcare efficiency.

A Workflow Where AI May Be Utilized and Implemented Into Practice

One of the workflows that benefit from applying AI in nursing is better monitoring of patients (Pailaha, 2023). AI allows optimal patient health monitoring, helping professionals identify any changes and adjust treatment if required more easily. In the case of nursing, AI can be used in tasks as important as measuring the patient’s heart rate, blood pressure, or blood oxygenation. By recognizing patients’ behavioral patterns through better monitoring, AI can help provide personalized care through remote patient monitoring. For example, using AI algorithms, smart bracelets can monitor vital signs such as body temperature and heart rate. Automatic alerts are sent to nurses, allowing for early treatment, intervention, and providing personalized care.

Strengths and Weaknesses of AI in Patient Care Delivery

Some of the benefits of AI in patient care delivery include reducing errors, making early diagnoses, greater efficiency and reduced workload, better monitoring, providing personalized care, and improving the education and training of nurses (Seibert et al., 2023). Through AI, nursing students can improve their skills through simulated clinical cases, educational games, or interactive questions that make them more prepared to perform in their future profession. The use of AI in diagnosing diseases helps achieve personalized treatments and improves the results of medical research.

One of the primary uses of AI in the nursing sector is to analyze and archive essential patient data and ensure no breaches. Image rights, the privacy of the data used, and the possible violation of current laws require specific training to avoid possible legal implications (Seibert et al., 2023). Additionally, many patients distrust the use of these technologies in the healthcare field. To avoid this, professionals must provide clear and transparent information about using AI, ensuring its application will be appropriate (Molyneux, 2023). The biggest challenge is the fear of these new technologies replacing nursing professionals. Therefore, it is vital to remember that AI can speed up and help execute specific tasks but never replace the nurse’s work, especially when providing human and personalized patient care.

References

Booth, R. G., Strudwick, G., McBride, S., O’Connor, S., & López, A. L. S. (2021). How the nursing profession should adapt for a digital future. BMJ Journal, 373(3), 1–10. https://doi.org/10.1136bmj.n1190

Garcia-Dia, M. J. (2020). Balancing care with technology. Nursing Management, 51(4), 56-69. https://doi.org/10.1097/01.NUMA.0000657280.44223.10

Molyneux, J. (2023). Artificial Intelligence and Nursing: Promise and Precaution. AJN The American Journal of Nursing, 123(10), 17–19. https://doi.org/10.1097/01.NAJ.0000979068.75051.bd

Pailaha, A. D. (2023). The impact and issues of artificial intelligence in nursing science and healthcare settings. SAGE Open Nursing Journal, 9(2), 1-4. https://doi.org/10.117723779608231196847

Ronquillo, C. E., Peltonen, L. M., Pruinelli, L., Chu, C. H., Bakken, S., Beduschi, A., & Topaz, M. (2021). Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative. Journal of Advanced Nursing, 77(9), 3707–3717. https://doi.org/10.1111/jan.14855

Seibert, K., Domhoff, D., Fürstenau, D., Biessmann, F., Schulte-Althoff, M., & Wolf-Ostermann, K. (2023). Exploring needs and challenges for AI in nursing care–results of an explorative sequential mixed methods study. BMC Digital Health, 1(1), 13-34. https://bmcdigitalhealth.biomedcentral.com/articles/10.1186/s44247-023-00015-2