Nursing Informatics Impact On Patient Outcomes Discussion

Nursing Informatics Impact On Patient Outcomes Discussion

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Reflect on how emerging technologies such as artificial intelligence may help fortify nursing informatics as a specialty by leading to increased impact on patient outcomes or patient care efficiencies.
In a 4- to 5-page project proposal written to the leadership of your healthcare organization, propose a nursing informatics project for your organization that you advocate to improve patient outcomes or patient-care efficiency. Your project proposal should include the following: Nursing Informatics Impact On Patient Outcomes Discussion

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Describe the project you propose.
Identify the stakeholders impacted by this project.
Explain the patient outcome(s) or patient-care efficiencies this project is aimed at improving and explain how this improvement would occur. Be specific and provide examples.
Identify the technologies required to implement this project and explain why.
Identify the project team (by roles) and explain how you would incorporate the nurse Informaticist in the project team.
Use APA format and include a title page and reference page. Nursing Informatics Impact On Patient Outcomes Discussion

The Impact of Nursing Informatics on Patient Outcomes and Care Efficiencies

Advancements in technology have enhanced the value of using nursing informatics for the improvement of patient outcomes and care efficiencies, particularly by facilitating a guided approach toward practice, with emphasis of safety. As more healthcare organizations look into ways of applying innovation in this field, it is apparent that artificial intelligence is one of the most feasible solutions, and it should be leveraged by the organization to improve the quality of nursing care. This paper proposes the use of artificial intelligence technology in nursing informatics to achieve the highlighted objectives. The proposed solution is an AI-based clinical decision support system for nurses in the organization.

Description

The proposed project is the implementation of an AI-based decision support system for nurses in the healthcare facility. The system will rely on data collection to facilitate information to guide nurses in their decision-making process, particularly when considering the application of nursing interventions for patients, administering medications, and providing health information to patients and their families (Bleher & Braun, 2022)Nursing Informatics Impact On Patient Outcomes Discussion. The system will enhance the application of an evidence-based approach in decision-making to reduce the incidence of negligence, malpractice, and errors among the members of the nursing team. Overall, the system will improve patient outcome by improving the competence levels of the respective nursing professionals.

Scope

The system will utilize data collection modules within the nursing care environment to enforce machine learning and a reliance on real-time data for decision-making. The system will offer recommendations to nurses based on the available data to reduce errors and to sustain a high level of competence in applying evidence to nursing care. The system will also integrate the EHR systems within the organization to ensure that all data collected from patients is analyzed for accurate recommendations in the care process (Harish et al., 2020)Nursing Informatics Impact On Patient Outcomes Discussion. Additionally, the system will offer training programs within the nursing learning continuum to improve the competence levels of the respective professionals. The system will also include features that continuously monitor the performance of the nurses and the associated outcomes on patients’ health to progressively improve performance through a data-driven recommendation process.

Stakeholders

The key stakeholders in the project are the nursing practitioners in the organization. The system aims at improvement their clinical decision-making capabilities by eliminating incidences of negligence and malpractice inspired by errors. The system also aims at improving the satisfaction and commitment levels of the nurses based on the simplification of the tasks in their workflow. The system is likely to subsequently combat the issue of nursing staffing shortages and the associated incidences of burnout by simplifying patient care processes for nurses (Xu et al., 2023). Patients are also primary stakeholders in the project because the core objective of the application of AI-based clinical decision for nurses is to improve health outcomes. The quality of care and safety for patients is bound to improve exponentially with the reliance of this innovative element of nursing informatics.

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Physicians are also key stakeholders based on the fact that the system will facilitate real-time data and information collected from patients by the nursing professionals. The instructions provided by physicians to the nurses will be used to create effective treatment intervention plans, particularly when considering the provision of guidelines for the administration of medications. The administrative function will benefit from the enhanced health outcomes through the reduction of medication costs, enhanced patient satisfaction, and improved efficiency in care processes (Xu et al., 2023)Nursing Informatics Impact On Patient Outcomes Discussion. This will gradually solidify the level of accreditation for the healthcare organization, and subsequently propel the organization to a reimbursement status above the competitors in the healthcare system. The community will also benefit from accessing quality care services in the organization, which will translate to better health outcomes for the public.

Patient Outcomes

Effective implementation of the AI-based clinical decision support system will influence positive outcomes in health. This will be influenced by the improvement in nursing diagnosis and application of nursing interventions. The innovative solutions will also improve the application of evidence-based decisions for nurses to facilitate personalized care. Most importantly, the system will guide nurses in the application of interventions, including treatment processes and accurate administration of medications. Medication errors are one of the most common challenges associated with nursing professionals in the contemporary healthcare system; therefore, providing a solution for the issue will influence better outcomes for patients’ safety in the organization. Nursing Informatics Impact On Patient Outcomes Discussion

When considering care efficiencies, the system is likely to improve the collection of health care information, documentation processes, and the utilization of real-time information for decision-making among the nursing staff. The system will also improve the ability to monitor patients more effectively since the data-driven decision-making processes will rely on continuous collection of data. The integration of the system with the EHR will also improve the utilization of data across all areas of healthcare improvement. For instance, the physicians and other professionals in the facility will access real-time data and analyzed information that will improve collaborative care with the nursing staff.

Required Technological Infrastructure

The project requires the organization to invest in four major elements of a technological infrastructure. Firstly, the organization will procure the software elements that enable the application of artificial intelligence. This includes the development of an algorithm customized to collect data, analyze it, and provide real-time recommendations through reports. Secondly, there is a need to invest in data collection modules that will be integrated with the organizational EHR to facilitate data to the AI system (Strachna & Asan, 2020)Nursing Informatics Impact On Patient Outcomes Discussion. Thirdly, the organization needs to develop a secure database to store the data collected within the system since it is expected to accumulate big data sets. The relevant security measures should be considered by the IT security team. Lastly, there should be a user interface that will be friendly enough for use among nurses to access information that will guide their practice.

Project Team

The project team should comprise of a project manager who will provide the relevant correspondence with the administration. It will also include developers and data analysts to develop the algorithm and install the relevant software components. Health informatics professionals will be included in the integration of the system to the existent electronic health records system. Nurses in the organization will be included in the provision of information relating to the required data and the effectiveness of the adopted user interface. Continuous monitoring of the performance of the system and its security feature will be run by the IT support and security professionals (Xu et al., 2023)Nursing Informatics Impact On Patient Outcomes Discussion. Nursing informatics professionals will play an integral role in the implementation of the innovative solution since they are actively involved in formulating nursing care plans, collecting evidence to guide practice, and developing guidelines for nursing professionals.

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References

Bleher, H., & Braun, M. (2022). Diffused responsibility: attributions of responsibility in the use of AI-driven clinical decision support systems. AI and Ethics, 2(4), 747-761.

Harish, V., Morgado, F., Stern, A. D., & Das, S. (2020). Artificial intelligence and clinical decision making: the new nature of medical uncertainty. Academic Medicine, 96(1), 31-36.

Shamszare, H., & Choudhury, A. (2023, August). Clinicians’ Perceptions of Artificial Intelligence: Focus on Workload, Risk, Trust, Clinical Decision Making, and Clinical Integration. In Healthcare (Vol. 11, No. 16, p. 2308). MDPI.

Strachna, O., & Asan, O. (2020, November). Reengineering clinical decision support systems for artificial intelligence. In 2020 IEEE International Conference on Healthcare Informatics (ICHI) (pp. 1-3). IEEE.

Xu, Q., Xie, W., Liao, B., Hu, C., Qin, L., Yang, Z., … & Luo, A. (2023). Interpretability of Clinical Decision Support Systems Based on Artificial Intelligence from Technological and Medical Perspective: A Systematic Review. Journal of Healthcare Engineering, 2023 Nursing Informatics Impact On Patient Outcomes Discussion