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NURS 6051 Assignment: Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies
NURS 6051 Assignment: Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies
NURS6051. Transforming Nursing and Healthcare through Technology. The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies
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?
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.
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Impact of Nursing Informatics on Patient Outcomes and
Patient Care Efficiencies
To Prepare for this NURS 6051 Assignment: Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies:
- 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.
NURS_5051_Module02_Week03_Assignment_Rubric
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.–
The response accurately and thoroughly describes in detail the project proposed.
The response accurately and clearly identifies the stakeholders impacted by the project proposed.
The response accurately and thoroughly explains in detail the patient outcome(s) or patient-care efficiencies that the project proposed is aimed at improving, including an accurate and detailed explanation, with sufficient supporting evidence of how this improvement would occur.
The response accurately and clearly identifies the technologies required to implement the project proposed with a detailed explanation why.
The response accurately and clearly identifies the project team (by roles) and thoroughly explains in detail how to incorporate the nurse informaticist in the project team.
Written Expression and Formatting – Paragraph Development and Organization:
Paragraphs make clear points that support well developed ideas, flow logically, and demonstrate continuity of ideas. Sentences are carefully focused–neither long and rambling nor short and lacking substance.–
Written Expression and Formatting – English writing standards:
Correct grammar, mechanics, and proper punctuation–
Uses correct APA format with no errors..
Name: NURS_5051_Module02_Week03_Assignment_Rubric
Possible Resources: NURS 6051 Assignment: Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies
McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.
- Chapter 25, “The Art of Caring in Technology-Laden Environments” (pp. 525–535)
- Chapter 26, “Nursing Informatics and the Foundation of Knowledge” (pp. 537–551)
American Nurses Association. (2018). Inclusion of recognized terminologies supporting nursing practice within electronic health records and other health information technology solutions. Retrieved from
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/
Office of the National Coordinator for Health Information Technology. (2017). Standard nursing terminologies: A landscape analysis. Retrieved from
https://www.healthit.gov/sites/default/files/snt_final_05302017.pdf
Rutherford, M. A. (2008). Standardized nursing language: What does it mean for nursing practice? Online Journal of Issues in Nursing, 13(1), 1–12. doi:10.3912/OJIN.Vol13No01PPT05.
Note: You will access this article from the Walden Library databases.
Thew, J. (2016, April 19). Big data means big potential, 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.
Note: You will access this article from the Walden Library databases.
Nursing Informatics Project Proposal
Background
In today’s world, there is nothing worrying than the deaths that are recorded on a daily basis emanating from the so-called lifestyle diseases. Thousands of new patients are diagnosed each day with a large number being unaware of being victims of these silent killer conditions. Among the top-rated lifestyle diseases/conditions are diabetes, hypertension, as well as obesity (Moghani Lankarani & Assari, 2017). One in every four Americans suffers from either hypertension or is diabetic. These statistics are alarming and have placed the two conditions among the 10 leading causes of death in the US. Diabetes is ranked number 1 cause of opportunistic diseases such as kidney failure, stroke and heart attack globally (The Observatory. Diabetes in America, 2017).
This calls for improved efforts in fighting this menace of lifestyle disease right through the creation of the public awareness, proper follow-up, as well as quality medical services to reduce the cases of diagnosis and the number of deaths associated with the same through proper data and information management (Thew, 2016). This paper will propose a nursing informatics project that will observe application of technology in the advocacy to improve the patient-care efficiency within the health facilities across the US.
The Project Proposal
The project that is proposed will be referred to as “Clinic alert follow-up system” (CAFS). This project will provide alert services to the involved nurses to identify or acquire updates concerning clinic follow-ups for those previously diagnosed with either hypertension, diabetes or obesity. Upon the first or subsequent visit to a health facility, and with the initial patient examination in the triage, the patient will undergo a routine checkup which must include the three crucial checkups of the diabetes, hypertension as well as BMI. If the patient is diagnosed with one or more of the conditions, the nurse will log in into the “Clinic alert follow-up system” (CAFS) and enter the patient medical code to perform a search.
If the patient details are not found, that means the patient is either visiting the facility for the first time or in the previous visits, they had not been diagnosed with either of the conditions. The nurse will key in the checkup results and recommend a further doctor examination and a possible clinic booking for the new patient (Glassman, 2017). This will alert the doctor during the patient session and if the doctor recommends a clinic or therapy session booking, the system will select a date and time upon the availability of the doctor, as well as the matter of treatment urgency. For a regular patient who had been previously diagnosed, the nurse will be able to get alert of the previous clinic follow-ups on whether the patient has been attending clinic/therapy sessions, as well as the treatment progress. This is the most important point of having the CAFS system in place as most diagnosed patients worsen their conditions due to lack of follow-up, especially with the doctor’s recommendation. With the CAFS assistance, the nurse and the doctor can establish the patient progress as every visit to the clinic or therapy session is also recorded and updated within the CAFS system.
The Stakeholders Impacted by This Project
Clinic alert follow-up system (CAFS) will impact various stakeholders who include the patient, nurses, doctors, therapists, specialists, IT department team as well as the nurse informaticists. The main aim of having CAFS in place is to identify the trend of the three identified lifestyle conditions through diagnosis, clinical and therapy sessions, follow-up, as well as treatment progress (Wang, Kung & Byrd, 2018). With the normal routine checkups, most of the patients who get diagnosed with either hypertension, diabetes or obesity does not get proper follow-up, especially if their intended visit was concerning a different complication away from the tree. This situation has led to increased cases of these conditions as well as other opportunistic diseases such as heart attack, kidney failure and lower limb amputations that are all associated with uncontrolled hypertension, diabetes or overweight. The CAFS system is expected to solve this situation
Patient-Care Efficiencies This Project Is Aimed at Improving
For the patient-care efficiencies, CAFS is aimed at making follow-up from the initial visit of a diagnosed patient and ensure that they adhere to the recommended actions and treatment journey whenever possible. Assistance will also be ensured in terms of availing of the necessary medicine, as well as counseling sessions for those who may be in need. The nurse work will be made easier as the follow-up process will be availed by the system and various informatics within the systems will be alerted on specific actions to undertake within the patient’s treatment journey (Macieria, et al., 2017). It will also be easier to identify the rate of diagnosis among the patients and even in a specific period e.g. Yearly, quarterly or in a month (Glassman, 2017). In the process of follow-up, the patient will be more informed, take care of themselves in terms of diet watch and exercises, as well as adhere to the medication. This will bring an overall positive change and improvement of the condition to the diagnosed patients.
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The Technologies Required to Implement This Project
The CAFS will require a standard server to integrate with the rest of the health facility system. The existing computers will be used in the same system, but will need to be upgraded with the latest operating system. For compatibility issues, CAFS will be compatible with both windows and OS. Some orientation will be conducted by the IT experts to familiarize the various stakeholders on the operations of the system and the various processes that will be required during each stage.
The Project Team (By Roles) and the Incorporation of The Nurse Informaticist In the Project Team
The project team will involve the senior nurse, nurse informatics, IT experts, system developers, a representative from the doctor, therapist and nutritionist representatives. The reason to have everyone on the board is to incorporate all the features that involves the various stages and departments right from the patient visit to the last stage of the treatment processes. The representatives have been carefully and specifically selected from the departments that are deemed to deal with the three critical conditions of hypertension, diabetes as well as obesity/Overweight. The nurse informaticist is of great importance as they will be liable to gather and interpret the complicated patient data and disseminate to the various concerned stakeholders within the CAFS system. Nurse informatics are also important as they are the ones who should initiate the system changes and upgrade in collaboration with the IT department experts, for improved service delivery (McGonigle & Mastrian, 2017).
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, 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.
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