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DISCUSSION: THE APPLICATION OF DATA TO PROBLEM-SOLVING

DISCUSSION: THE APPLICATION OF DATA TO PROBLEM-SOLVING

DISCUSSION: THE APPLICATION OF DATA TO PROBLEM-SOLVING

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The Application of Data to Problem-Solving
In healthcare, harmonizing informatics and data application is crucial in patient care and expanding knowledge in the realm of healthcare through research. I found the learning resources provided very comprehensive and informative in health informatics. ‘Nursing Informatics and the Foundation of Knowledge’ clearly outlined the importance of the development and dissemination of knowledge in laying the foundation of the link between nursing practice and knowledge. Moreover, the principles of health information systems have been underscored to create grounds for understanding its essence in healthcare. The third chapter integrates information technology and the knowledge model, further illustrating the importance of technology in providing healthcare (McGonigle & Mastrian, 2021). In addition, I acquired insight into the application of informatics in providing healthcare (Nagle et al., 2017). I also evaluated the changing responsibility of nurse practitioners to have the necessary skills to navigate through the use of technology in healthcare.

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Palamar General Hospital faced a growing patient flow problem, leading to prolonged wait times and overcrowding in the emergency department (ED). This situation compromised patient satisfaction, staff morale, and the overall quality of care. The hospital sought a data-driven solution to gain real-time insights into bed availability and optimize patient flow throughout the facility. The hospital’s management team opted for E hospital management system that could be tailored to seamlessly integrate with existing hospital systems. This system promised to streamline data collection and analysis, enabling knowledge formation and evidence-based decision-making.
The step wise solution to the issue involves the following critical processes: data collection and integration: A centralized data warehouse will securely store and analyze information from various sources, including EHRs, nurse call systems, patient monitoring systems, and bed management software. Real-time data analysis: Hospital administrators, nurses, and physicians can access real-time data analysis through conversational language, providing easy access to patient-related information, bed availability, and ED waiting times. Predictive analytics: Historical data patterns will be analyzed to anticipate future bed availability and patient flow, enabling the hospital to proactively adjust staffing levels and bed allocations for optimal resource utilization.
Intelligent bed management: offers real-time recommendations for patient admission, transfer, and discharge, reducing wait times, preventing overcrowding, and ensuring proper patient placement throughout the hospital. Performance monitoring and reporting: Regular reports and visual analytics dashboards will be generated to monitor and report key performance indicators, enabling hospital management to track progress, identify improvement areas, and make data-driven decisions.

References
McGonigle, D., & Mastrian, K. (2021). Nursing informatics and the foundation of knowledge. Jones & Bartlett Learning.
Nagle, L. M., Sermeus, W., Junger, A., & Bloomberg, L. S. (2017). Evolving role of the nursing informatics specialist. Stud Health Technol Inform, 232, 212–221.

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In this Discussion, you will consider a scenario that would benefit from access to data and how such access could facilitate both problem-solving and knowledge formation.

Reflect on the concepts of informatics and knowledge work as presented in the Resources.

Consider a hypothetical scenario based on your own healthcare practice or organization that would require or benefit from the access/collection and application of data. Your scenario may involve a patient, staff, or management problem or gap.

Use at least 3-5 references

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