Discussion: 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?

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 not including the title and reference page)

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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.
Use APA format and include a title page and reference page.
Use the Safe Assign Drafts to check your match percentage before submitting your work.

Resources

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Alexander, S., Ng, Y. C., & Frith, K. H. (2018). Integration of mobile health applications in health information technology initiatives: Expanding opportunities for nurse participation in population health. CIN: Computers, Informatics, Nursing, 36(5), 209â€“213. https://doi.org/10.1097/CIN.0000000000000445

Mosier, S. , Roberts, W. & Englebright, J. (2019). A Systems-Level Method for Developing Nursing Informatics Solutions. JONA: The Journal of Nursing Administration, 49 (11), 543-548.https://doi.org/10.1097/NNA.0000000000000815.

Sipes, C. (2016). Project Management: Essential Skill of Nurse Informaticists. Studies in Health Technology and Informatics, 225, 252â€“256.

A Sample Of This Assignment Written By One Of Our Top-rated Writers

Project Proposal

Incorporating health information technology (IT) into primary care involves using various electronic methods to manage patients and health care information. Adopting health IT improves the quality of patient care and efficiency of care delivery leading to more cost-effective health care. The purpose of this paper is to propose a nursing informatics project for our organization that will improve patient outcomes or patient-care efficiency.

Proposed Project

The proposed nursing informatics project for this organization is the clinical decision support systems (CDSS). CDSS is a computer-based program that analyzes data within electronic health records (EHRs). It gives prompts and reminders to help health providers implement evidence-based clinical guidelines during patient care. CDSS is primarily used at the point of care (Wasylewicz et al., 2019). It will be used to augment health providers in their complex decision-making processes. Clinicians integrate their knowledge with information or suggestions the system provides. Besides, the CDSS aims to enhance healthcare delivery by facilitating clinical decision-making with targeted clinical knowledge, patient data, and other health information.

Stakeholders Impacted By This Project

Adopting CDSS in the hospital will significantly impact stakeholders, including clinicians, patients, and the leadership team. The CDSS will positively impact clinicians by improving the efficiency of patient care delivery. It will analyze data within the EHR and provide clinicians with prompts and reminders to facilitate them in implementing evidence-based clinical guidelines at the point of care (Mebrahtu et al., 2021). The CDSS will significantly impact patients through increased patient safety and reduced rate of misdiagnosis. The CDSS will have alerts that notify clinicians of potential adverse drug events that may occur with drugs prescribed to a patient, reducing the incidences of adverse drug reactions. It also has computerized clinical guidelines and diagnostic support to assist clinicians in making clinical diagnoses. This will reduce the incidences of incorrect diagnoses in patients (Mebrahtu et al., 2021). Furthermore, the leadership team will be impacted through cost-containment, which will increase the hospital’s profits. The CDSS is cost-effective for health organizations through clinical interventions that decrease inpatient length of stay, suggest cheaper treatment alternatives, and lower test duplication.

Patient Outcome/Patient-Care Efficiencies This Project is Aimed at Improving

The CDSS aims to improve patients’ clinical management, thus improving the efficiency of patient care delivery. It is expected to increase clinicians’ utilization of clinical guidelines since the guidelines will be available in the system. The CDSS will provide clinicians with prompts and reminders that will facilitate them in implementing evidence-based clinical guidelines at the point of care (Sutton et al., 2020). Additionally, the CDSS will assist clinicians with managing clients on treatment/ research protocols, monitoring and placing orders, following up on referrals, and providing preventative care. In our hospital setting, the CDSS will alert clinicians to get into contact with patients who have not adhered to their management plans or are waiting for follow-up. The CDSS will assist in identifying patients eligible for research per the study’s specific criteria (Sutton et al., 2020). Furthermore, the CDSS will provide information on treatment protocols, prompt questions on medication adherence, and provide tailored recommendations for health behavior changes in patients, which will improve efficiency and quality of care.

The CDSS will further improve patients’ clinical management through diagnostic support in imaging and laboratory. The CDSS will be used for ordering imaging tests. It will assist radiologists in selecting the most suitable test to run for a patient based on their symptoms and clinical impression, offer reminders of best practice guidelines and provide alerts on contraindications to contrast (Sutton et al., 2020). For example, the CDSS will have a series of questions clinicians must answer before ordering imaging studies to validate appropriateness. Since imaging tests often require a wide manual interpretation, clinicians will benefit from a technology like CDSS, which will help them extract, visualize, and interpret radiology images. Furthermore, the CDSS will extend to the usefulness of lab tests to avoid risky or more invasive diagnostics (Sutton et al., 2020). In our setting, lab tests reference ranges can be individualized in the CDSS for patients based on their sex, age, or disease subtype, improving clinicians’ interpretation of lab results.

Technologies Required to Implement the Project

Technologies required in implementing the CDSS project include cloud computing, EHR, computerized physician order entry (CPOE), and the ICD system. Cloud computing technology will be integrated into CDSS to assist clinicians in daily work (Xu et al., 2018). The CDSS will be linked to a real live EHR to enable it to generate alerts of admitted patients. Adaptations will be made to the CDSS to ensure prompt alerting and integration into clinical workflow. The EHR should be set up to accurately capture a patient’s most current health status and medical history. CPOE will also be integrated into the CDSS to enable clinicians to prescribe medication through an electronic entry. Combining CPOE and CDSS will assist clinicians in selecting the right drug in the right dose and alert the clinician during prescribing potential drug allergies, adverse reactions, and drug-to-drug interactions (Papadopoulos et al., 2022). Furthermore, the ICD system will be incorporated into the CDSS to help classify and code diagnoses, symptoms, and procedures recorded alongside hospital care. It will provide the details necessary for diagnostic specificity and morbidity classification.

Project Team

The adoption and implementation of the CDSS will require a team that will include a project manager, lead practitioner, and lead super user. The project manager will coordinate the project’s activities, supervise the team, and ensure effective communication in the team. The lead practitioner will be a clinician and will serve as a link between the technical team and clinicians in the hospital (Catho et al., 2021). He will provide views on how the CDSS can be designed and important features to improve clinical efficiency and quality of patient care. Additionally, the super user will design workflows and standard operating procedures in the CDSS to ensure they meet the desired project outcomes and address challenges in providing patient care. The nurse informaticist can be incorporated into the team to guide the team in preparing the CDSS for implementation in practice. The nurse informaticist can be consulted about CDSS alerts, including the content of the message, the recipient, frequency, and the alerting method (Catho et al., 2021). In addition, the informaticist can educate clinicians in the hospital on using the CDSS.

Conclusion

The purpose of the CDSS project is to support decision-making, improve the quality of patient care and increase patient diagnostic and prognostic capabilities. This will eliminate unnecessary errors and costs and increase productivity. Besides, the CDSS will enhance efficiency in delivering care and facilitate accurate diagnosing and prescribing, which benefits clinicians and patients. Cloud computing, EHR, CPOE, and ICD system will be required to implement the CDSS. The project implementation team will include a project manager, lead practitioner, lead super user, and nurse informaticist.

References

Catho, G., Centemero, N. S., Waldispühl Suter, B., Vernaz, N., Portela, J., Da Silva, S., … & COMPASS Study Group. (2021). How to Develop and Implement a Computerized Decision Support System Integrated for Antimicrobial Stewardship? Experiences From Two Swiss Hospital Systems. Frontiers in Digital Health, p. 2, 583390. https://doi.org/10.3389/fdgth.2020.583390

Mebrahtu, T. F., Skyrme, S., Randell, R., Keenan, A. M., Bloor, K., Yang, H., Andre, D., Ledward, A., King, H., & Thompson, C. (2021). Effects of computerized clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes: a systematic review of experimental and observational studies. BMJ open, 11(12), e053886. https://doi.org/10.1136/bmjopen-2021-053886

Papadopoulos, P., Soflano, M., Chaudy, Y., Adejo, W., & Connolly, T. M. (2022). A systematic review of technologies and standards used in the development of rule-based clinical decision support systems. Health and Technology, pp. 1–15. https://doi.org/10.1007/s12553-022-00672-9

Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020). An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ digital medicine, 3(1), 1-10. https://doi.org/10.1038/s41746-020-0221-y

Wasylewicz, A. T. M., & Scheepers-Hoeks, A. M. J. W. (2019). Clinical decision support systems. Fundamentals of clinical data science, 153-169.

Xu, B., Li, C., Zhuang, H., Wang, J., Wang, Q., Wang, C., & Zhou, X. (2018). Distributed gene clinical decision support system based on cloud computing. BMC Medical Genomics, 11(5), 11-23. https://doi.org/10.1186/s12920-018-0415-1

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Discussion: 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?