Posted: July 7th, 2024

Healthcare Information Systems Pre-nursing students

**Healthcare Information Systems**
**Pre-nursing students: How can good administration systems support quality patient care?**

Healthcare information systems are foundational to delivering high-quality patient care in modern healthcare settings. Good administrative systems support quality hiring decisions by identifying the right candidates for each position. The systems gather and analyze data about patients and nurses and predict the patterns of healthcare delivery (Ifinedo, 2018). Patterns of health help the administrative personnel to respond effectively to outbreaks by allocating sufficient personnel and resources. For instance, the systems store demographic information and financial information of the patient at risk of various conditions. The data is effective in identifying the weaknesses and taking proactive measures to counter emerging cases (Fatima & Colomo-Palacios, 2018). For instance, during the Covid-19 pandemic, systems have identified the most affected groups and how they respond to medical interventions. Healthcare administrators should install elaborate administration systems to manage information and data that will improve responsiveness to emerging issues. These systems also enhance communication between departments, streamline workflow processes, and reduce administrative burden on healthcare providers. This allows nurses and other medical staff to focus more on direct patient care, ultimately leading to improved health outcomes and patient satisfaction. Recent research by Stine (2024) highlights the importance of pre-nursing preparation programs in enhancing student success and retention, which can be facilitated by effective administrative systems.

**Healthcare administration students: How can quality clinical information systems support administrative functions?**

Quality clinical information systems support administrative functions by allowing healthcare managers to develop mechanisms or policies to address issues in the healthcare sector. The clinical information systems can improve the decision-making process by identifying the areas that need improvements (Fatima & Colomo-Palacios, 2018). For decision-support tools are effective in making decisions about the cost of care, nurse schedules, and adoption of evidence-based care practices. The introduction of quality and error-free medical records can improve decision support. For instance, records can show that long schedules increase the risk of medical errors. Healthcare administrators can use the data to assign friendly schedules to healthcare workers (Fatima & Colomo-Palacios, 2018). The systems can show the rate of turnover and the driving factors such as lack of family-work balance for workers with young families. The information systems can be used to make decisions that will eliminate the risk of poor patient relationships due to low motivation. Furthermore, these systems facilitate accurate financial management, including billing and insurance claims processing. They also enable administrators to monitor and improve operational efficiency, track resource utilization, and ensure compliance with healthcare regulations and standards. This comprehensive approach to information management leads to more effective healthcare delivery and improved overall organizational performance. A recent study by Madandola et al. (2024) emphasizes the importance of user interface features in electronic health records for ensuring high-quality patient clinical information, which is crucial for administrative decision-making.

**References**

Fatima, A., & Colomo-Palacios, R. (2018). Security aspects in healthcare information systems: A systematic mapping. *Procedia Computer Science*, *138*, 12-19.

Ifinedo, P. (2018). Empirical study of Nova Scotia nurses’ adoption of healthcare information systems: implications for management and policy-making. *International Journal of Health Policy and Management*, *7*(4), 317.

Madandola, O.O., Bjarnadottir, R.I., Yao, Y., Ansell, M., Dos Santos, F., Cho, H., Dunn Lopez, K., Macieira, T.G. and Keenan, G.M. (2024). The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review. *Journal of the American Medical Informatics Association*, *31*(1), 240-255.

Stine, M.B. (2024). The Predictive Relationship Between Pre-Nursing Boot Camp Participation and Successful Completion of the First Semester and Retention in an Associate Degree Nursing Program.

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