Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies – NURS 6051

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NURS-6051N,Transforming Nursing & HC

Week 3 Assignment:  The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies

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? NURS 6051 Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies Essay

Patient outcomes and the fulfilment of care goals are 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 speciality 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 for improving 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 into the project team.

The Solved Paper: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies

Nursing Informatics Project Proposal

Background

Nothing is more concerning in today’s world than the daily deaths caused by so-called lifestyle diseases. Thousands of new patients are diagnosed every day, with many of them unaware that they are suffering from these silent killer diseases. Diabetes, hypertension, and obesity are among the top-rated lifestyle diseases/conditions (Moghani Lankarani & Assari, 2017).

Hypertension and diabetes affect one out of every four Americans. These figures are alarming, and the two diseases are now among the top ten leading causes of death in the United States. Diabetes is the leading cause of opportunistic diseases like kidney failure, stroke, and heart attack around the world (The Observatory. Diabetes in America, 2017).

This necessitates increased efforts in combating the threat of lifestyle disease, including increased public awareness, proper follow-up, and quality medical services to reduce the number of cases of diagnosis and deaths associated with the disease through proper data and information management (Thew, 2016).

This paper will propose a nursing informatics project that will look at how technology can be used to advocate for better patient-care efficiency in health facilities across the United States.

The Project Proposal

The proposed project will be known as the “Clinic alert follow-up system” (CAFS). This project will provide alert services to the nurses involved in order to identify or obtain information about clinic follow-ups for those who have been previously diagnosed with hypertension, diabetes, or obesity.

The patient will undergo a routine checkup on their first or subsequent visits to a health facility, beginning with the initial patient examination in triage, which must include the three critical checkups of diabetes, hypertension, and BMI. If the patient is diagnosed with one or more of the conditions, the nurse will input the patient’s medical code into the “Clinic alert follow-up system” (CAFS) to conduct a search.

If no patient information is available, it suggests the patient is either new to the institution or has never been diagnosed with either of the illnesses during prior visits. The nurse will enter the checkup findings and suggest a second doctor visit as well as a prospective clinic appointment for the new patient (Glassman, 2017).

This will notify the doctor during the patient session, and if the doctor suggests a clinic or therapy session, the system will choose a day and time based on the doctor’s availability and the urgency of the treatment. The nurse will be notified of past clinic follow-ups on whether the patient has been attending clinic/therapy sessions, as well as the treatment progress, for a regular patient who has been previously diagnosed.

This is the most crucial aspect of having the CAFS system in place since most diagnosed patients’ diseases deteriorate owing to a lack of follow-up, particularly when the doctor recommends it. The nurse and doctor can establish the patient’s development with the help of CAFS since every visit to the clinic or treatment session is likewise documented and updated inside the CAFS system.

This Project’s Affected Stakeholders

The patient, nurses, physicians, therapists, specialists, IT department personnel, and nurse informaticists will all be affected by the Clinic Alert Follow-Up System (CAFS). The major goal of CAFS is to track the progression of the three lifestyle disorders diagnosed via diagnostic, clinical and therapeutic sessions, follow-up, and treatment progress (Wang, Kung & Byrd, 2018).

Most people who are diagnosed with hypertension, diabetes, or obesity do not get sufficient follow-up as a result of regular examinations, particularly if their original appointment was for a separate condition unrelated to the tree. This has resulted in a rise in these disorders, as well as other opportunistic diseases including heart attack, renal failure, and lower-limb amputations, all of which are linked to uncontrolled hypertension, diabetes, or obesity. This problem is intended to be resolved by the CAFS system.

Patient-Care Efficiencies This Project Is Aimed at Improving

CAFS aims to make follow-up from a diagnosed patient’s first visit and ensure that they stick to the suggested activities and treatment path as much as feasible for patient-care efficiency. Assistance will be provided in terms of obtaining required medications as well as therapy sessions for people who may need them.

The nurse’s job will be made simpler since the system will provide the follow-up procedure, and different informatics inside the systems will be notified of certain activities to perform along the patient’s treatment journey (Macieria, et al., 2017). It will also be simpler to determine the rate of diagnosis among patients over time, such as annually, quarterly, or month by month (Glassman, 2017).

The patient will become more knowledgeable, take better care of themselves in terms of nutrition and exercise, and stick to their medicine throughout the follow-up procedure. This will result in an overall favourable change and improvement of the diagnosed patients’ condition.

The Technologies Required for This Project’s Execution

To interface with the rest of the healthcare system, the CAFS will need a standard server. Existing computers will be utilized in the system, but they will need to be updated to the most recent operating system. CAFS will work with both Windows and OS to avoid compatibility difficulties. The IT professionals will provide some training to educate the different stakeholders on the system’s operations and the numerous procedures that will be necessary at each step.

The Project Team (By Roles) and the Nurse Informaticist’s Inclusion in the Project Team

The senior nurse, nurse informatics, IT professionals, system developers, a representative from the doctor, therapist, and nutritionist reps will all be part of the project team. The purpose of having everyone on the board is to combine all of the characteristics that engage the many phases and departments from the first patient visit to the end of the treatment procedure.

The delegates were chosen from departments that deal with the three crucial conditions of hypertension, diabetes, and obesity/overweight. The nurse informaticist is critical since they will be responsible for gathering and interpreting intricate patient data and disseminating it to the many stakeholders within the CAFS system. Nurse informatics is particularly crucial since they should be the ones to start system improvements and upgrades in partnership with IT specialists for better service delivery (McGonigle & Mastrian, 2017).

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Frequently Asked Questions (FAQs)

1. What is the impact of health care informatics on patient outcomes?

We find that health information technology enhances patient safety by decreasing medication mistakes, adverse drug responses, and adherence to practice recommendations. There is no question that health information technology can help to improve the quality and safety of healthcare.

2. How do patients benefit from nursing informatics?

Nursing professionals employ informatics solutions to identify patients who are more likely to develop severe illnesses and take preventive measures early. Medical mistakes are reduced through automated warnings that notify doctors of possible hazards such as a patient’s allergy or a dangerous medication combination.

3. What is the importance of nursing informatics in the field of nursing?

Nursing informatics may enhance communication between health professionals by giving more accurate information on patients and their treatment plans, allowing for improved decision-making when it comes to drug delivery and other therapies that are required for the patients.

Additional content on the impact of nursing informatics on patient outcomes and patient care efficiencies.

References

• Glassman, K. S. (2017). Using data in nursing practice. American Nurse Today, 12 (11), 45–47. Retrieved from https://www.americannursetoday.com/wp-content/uploads/2017/11/ant11-Data-1030.pdf
• Macieria, T. G. R., Smith, M. B., Davis, N., Yao, Y., Wilkie, D. J., Lopez, K. D., & Keenan, G. (2017). Evidence of progress in making nursing practice visible using standardized nursing data: A systematic review. AMIA Annual Symposium Proceedings, 2017, 1205–1214. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977718/
• Moghani Lankarani, M., & Assari, S. (2017). Diabetes, hypertension, obesity, and long-term risk of renal disease mortality: Racial and socioeconomic differences. Journal of Diabetes Investigation, 8 (4), 590–599. https://doi.org/10.1111/jdi.12618
• McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.
• The Observatory. Diabetes in America. (2017). MLO: Medical Laboratory Observer, 49 (2), 6. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=120942250&site=ehost-live
• Thew, J. (2016, April 19). Big data means big potential, and challenges for nurse execs. Retrieved from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs
• Wang, Y. Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126 (1), 3–13. doi:10.1016/j.techfore.2015.12.019.