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 – Fast, Quality and Affordable Assignment Expert

In a 4 to 5 page project proposal written to the leadership of your healthcare organization

In the Discussion for this module, you considered the interaction of nurse informaticists with other specialists to ensure successful care. How is that success determined?

Patient outcomes and the fulfillment of care goals is one of the major ways that healthcare success is measured. Measuring patient outcomes results in the generation of data that can be used to improve results. Nursing informatics can have a significant part in this process and can help to improve outcomes by improving processes, identifying at-risk patients, and enhancing efficiency.

To Prepare:

• Review the concepts of technology application as presented in the Resources.
• 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.

The Assignment: (4-5 pages)

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:

• 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.

Expert Answer and Explanation

Impact of Nursing Informatics

In healthcare, decision-making is crucial in the sense that it affects quality of health services that clinicians deliver, and it determines effective use of resources. For a provider, making sound decisions translates into the use of best practices in clinical care like using evidence to guide their approach to managing illnesses and to interacting with patients. Conversely, ineffective decisions in which one fails to follow the appropriate protocol for administering medication can lead to medical errors, causing life-threatening complications. Because resources like time and labor go into managing the adverse health events including those linked to negligence, poor decision-making can cause infective use of resources.

Given the benefits associated with decision-making, it is prudent for an organization to adopt a mechanism of optimizing the outcomes of decision-making (Hedayatipour et al., 2024).  The purpose of this this assignment is to come up with a nursing informatics project proposal that will assist the leadership of my organization to improve efficiency through effective decision-making. One of the options that are available for an organization that wants to make effective decisions is the use of the Clinical Decision Support System (CDSS) integrated with Electronic Health Record (EHR) system.

Description of the Proposed Project

The proposed project is a CDSS linked with the EHR with the aim of enhancing providers’ capacity to make decisions, and provide patients with quality care. While the EHR system plays the role of data storage, the CDSS is responsible of analyzing this data, and generating processed data that clinicians can use to inform decisions. This implies that the integrated system accesses patients’ data, and synthesizes it to identify the appropriate diagnosis or clinical intervention based on the patient’s health history including the medications they previously used.

With this system, still, providers receive alerts and reminders, ensuring that they administer medications on time (Masic, 2022). This helps improve adherence, and minimizes the risk of adverse health events linked to missing medications such as antibiotic resistance. This is possible given that the system relies on medical knowledge and patient’s data to make decisions, and to recommend appropriate choice of treatment for patients.

The Stakeholders impacted by the Project

The proposed project will impact different stakeholders including clinicians who are involved in making decisions. For their part, clinicians will leverage the system to make decisions, reducing the amount of time they take to decide on the most effective intervention (Sutton et al., 2020). Because this system supports Evidence-Based Practice (EBP) by matching patients’ needs with the right evidence, it will reduce the workload for providers, and reduce work-related stress.

Patients will also benefit from the system considering that it is meant to optimize the improvement of health care outcomes. With the implementation of the project, the risk of medical complications will reduce considering that the system identifies an intervention that is suitable for the patient based on the existing clinical knowledge and patient’s characteristics (Dramburg et al., 2020). For instance, it takes into account the patient’s sex, age and racial background to support clinical decisions.

The project will equally affect payers like private insurance firms that provide health cover. With successful implementation of the project, the amount these payers pay to providers will reduce because of declined in cases of health complications as a result of improved health outcomes.

The project will in addition have an impact on hospital administrators and leadership, impacting various aspects of their activities. With the adoption of the system, they will be required to train the staff on how to handle issues like data privacy and security. The project will come with other responsibilities like the need to monitor how the system works.

Patient Outcomes or Patient-Care Efficiencies the Project aims to improve including how the Improvement will occur (Give examples)

The adoption of the system that integrates CDSS and EHR will lead to improvement of patient-care efficiencies. One area in which the project will exert an impact is the area of workflow considering that the system will alert clinicians, reminding them to administer medications. The system will help reduce the need for providers to physically enter data into the electronic medical records system because it comes with automated data entry capability (Hak, Guimarães, & Santos, 2022). This will leave providers with time to work on tasks that require their physical presence.

The project will also aim to optimize patient care outcomes considering that it recommends EBP protocol, ensuring that every patient receives care that is based on current evidence. A good case is a scenario in which the system considers patient’s health background, and recommends a suitable clinical intervention to a provider working with a patient with ischemic stroke (Michgelsen et al., 2022).

The system, in addition, is expected to enhance the accuracy of patient screening and disease diagnostics. This is because the system accesses details of patient’s past medication, the previous illnesses, current clinical manifestations and weight status. With this information, it identifies and suggests a possible clinical disorder.

The Technologies for implementing the Project and the Reasons for the Selection of the Technology

A number of key technologies will support the implementation of the project. Part of these technologies is a software program on which the CDSS will run. The software will ensure the system runs effectively, and performs its intended purpose. This software will also integrate a capability that allows it to communicate with the EHR, allowing providers to have access to data. In addition, the software will possess data analytics capability, to help process information, and produce relevant responses based on user’s queries (Chen et al., 2023).

With this feature, it will be possible for users to save on time when making decisions. To ensure that the technology is hack proof and secure, it will integrate biometric technology with advanced security features. The goal is to comply with HIPAA act while protecting the integrity of the system.

The Project Team by Roles, and Incorporating Nurse Informaticist in the Project Team

Part of the team involved in implementing the project will include physicians and nursing professionals. Their role in this case will involve providing the necessary feedback and recommendations that can help with building the system. The team will also include Information Technology personnel, working together with nurse informaticist to provide technical assistance. For instance, they will repair the system while the nurse informaticist will be responsible of managing the training of the staff on how to use the system.

Conclusion

In conclusion, the proposed project seeks to help providers to leverage informatics technology to make decisions by linking the EHR with CDSS which is an intelligent technology that uses the available data and knowledge to identify the best solution for diagnosing an illness or treating it. One of the key features of this integrated system is that it relies on the available evidence to make decisions. With the adoption of the project, the organization stands a chance of improving the quality of care it provides to patients. Additionally, the adoption of the project will translate into effective use of resources.

References

Chen, Z., Liang, N., Zhang, H., Li, H., Yang, Y., Zong, X., Chen, Y., Wang, Y., & Shi, N. (2023). Harnessing the power of clinical decision support systems: challenges and opportunities. Open heart, 10(2), e002432. https://doi.org/10.1136/openhrt-2023-002432.

Dramburg, S., Marchante Fernández, M., Potapova, E., & Matricardi, P. M. (2020). The Potential of Clinical Decision Support Systems for Prevention, Diagnosis, and Monitoring of Allergic Diseases. Frontiers in immunology, 11, 2116. https://doi.org/10.3389/fimmu.2020.02116.

Hak, F., Guimarães, T., & Santos, M. (2022). Towards effective clinical decision support systems: A systematic review. PloS one, 17(8), e0272846. https://doi.org/10.1371/journal.pone.0272846.

Hedayatipour, M., Etemadi, S., Hekmat, S. N., & Moosavi, A. (2024). Challenges of using evidence in managerial decision-making of the primary health care system. BMC health services research, 24(1), 38. https://doi.org/10.1186/s12913-023-10409-7.

Masic, I. (2022). Medical Decision Making – an Overview. Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 30(3), 230–235. https://doi.org/10.5455/aim.2022.30.230-235.

Michgelsen, J., Glimmerveen, L. M., Pittens, C. A. C. M., & Minkman, M. M. N. (2022). Decision-Making Dilemmas within Integrated Care Service Networks: A Systematic Literature Review. International journal of integrated care, 22(4), 11. https://doi.org/10.5334/ijic.6458.

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