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

NURS 6050/5050 Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies

Walden University Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies– Step-By-Step Guide

This guide will demonstrate how to complete the Walden University  Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies  assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.

How to Research and Prepare for Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies  

Whether one passes or fails an academic assignment such as the Walden University  Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.

After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.

How to Write the Introduction for  Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies   

The introduction for the Walden University  Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.

How to Write the Body for  Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies   

After the introduction, move into the main part of the  Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies  assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.

Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.

How to Write the Conclusion for  Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies   

After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.

How to Format the References List for  Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies  

The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.

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

The use of artificial intelligence in medicine first appeared in the 1790s. Notably, the first artificial intelligence machine learning methods were used to infer classification rules from labeled datasets, thereby assisting a knowledge-based decision support system. As a result, despite providing good patient care, the first system was not used on real patients (Hollis et al., 2019). These indicate that the machine was not linked to patients’ electronic health records and was instead considered a stand-alone system. Furthermore, the subjectivity expressed by the expert system’s knowledge bases was unacceptable, making it more suitable for teaching and limiting its application in clinical practice. As a result, the project will focus on the advantages of real improvements in healthcare through artificial intelligence.

In healthcare, artificial intelligence means an increase in the volume and complexity of data. Artificial intelligence is divided into three categories: life sciences companies, payers, and providers of care. Artificial intelligence in healthcare has the potential to transform many aspects of the healthcare administration process, including pharmaceuticals, payers, patient care, and providers. According to research, artificial intelligence can diagnose diseases better than humans in healthcare (Davenport & Kalakota, 2019). For example, using algorithms, artificial intelligence can help construct cohorts for costly clinical trials, outperforming the best radiologist at detecting malignant tumors.

Artificial intelligence is a set of technologies that improves patient outcomes and increases patient care efficiency.

Machine learning, neutral networks, and deep learning are examples of the most important artificial intelligence in healthcare. Precision medicine is the best traditional machine learning application for predicting successful treatment for a patient based on attributes and context (Davenport & Kalakota, 2019). Supervised learning is necessary because it

assists in the training of datasets that lead to the outcome variable using precision medicine and machine learning The neural network is a complex technology that has been around since the 1960s and is well established in research, and its application aids in determining whether a patient will be acquired based on a specific disease.

Deep learning is a more complex form of machine learning because it includes variables and levels of features that aid in prediction.

Deep learning is commonly used in healthcare to detect cancerous lesions in radiology images (Davenport & Kalakota, 2019). The combination of radionics and deep learning holds more promise for diagnostic accuracy than computer-aided detection. Robotic process automation is a technology that aids in the execution of structured digital administrative tasks. Notably, robotic process automation employs computer servers and programs. As a result, robotic process automation aids in the updating of patient records or billing and the application of repetitive tasks in healthcare (Davenport & Kalakota, 2019). Furthermore, data is extracted when robotic process automation is combined with other technologies. For example, data from faxed images is extracted and entered into the transactional system.

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Artificial intelligence reduces the time and cost of the traditional method, paving the way for valid clinical trials. It also aids in learning the pattern and analyzing previous data. For example, it analyzes learning about sepsis markers and follows up on all sepsis cases. Artificial intelligence aids in the development of filters that detect organ dysfunction before a shock occurs (Park & Han, 2018). As a result, healthcare providers find it simple to provide pre-diagnosis when patients visit the hospital, guiding them in an easy way forward. According to data, clinical records, and statistics, the worsening of insured members’ medical conditions reduces population health awareness. Therefore, the private practitioner is likely to use unnecessary related procedures or treatment when treatment occurs.

The stakeholder impacted by the real improvement in healthcare through the application of artificial intelligence include administrators, pharmacists, payers, patients, and healthcare providers. Patient outcome is derived from effective methods to prevent their health, thus minimizing the risk associated with the health care process. Every sector of the caregiving process carries some level of inherent risk, which leads to the use of artificial intelligence in health care settings. Therefore, artificial intelligence help in changing the dynamics, thus creating new potential that leads to improved patient safety outcomes, thus ensuring quality care (Choudhury & Asan, 2020). (Choudhury & Asan, 2020). Artificial intelligence aids in the development of drugs and assists clinicians in making accurate diagnoses. Furthermore, artificial intelligence aids in the mitigation, identification, and assessment of threats to patient safety. For example, embedding electronic health records (HER) systems can improve patient efficiency.

Notably, artificial intelligence employs a powerful tool that can be used in the healthcare domain to uncover subtle patterns in data. For example, robotic artificial intelligence aids in disease management and patient surgery, resulting in increased efficiency in health-care settings (Choudhury & Asan, 2020). Furthermore, artificial intelligence technologies aid clinical levels in reducing medication errors and reducing fall risks.

Furthermore, artificial intelligence, such as electronic health record systems that contain more cases for specific patient populations, can improve patient care efficiency. The radiology report shows an increase as a result of the real improvement in healthcare provided by artificial intelligence. For example, artificial intelligence has resulted in significant advancements in Computed Tomography, Positron Emission Tomography, Magnetic Resonance, and the introduction of ultrasound (Ahuja, 2019). As a result, radiology simplifies the radiologist’s job and improves patient efficiency and accuracy.

The technology required to implement true healthcare improvement through artificial intelligence must effectively operate within the practices and norms of a healthcare setting. Machine learning platform technologies are a critical component of artificial intelligence. The technology allows computers to learn and grow in intelligence. Machine learning serves as a training tool for algorithms and aids in algorithm development (Reddy et al., 2019). Furthermore, deep learning technology assists hospital management in making more informed decisions, improving patient efficiency and outcomes. A rule-based expert system is a technology that can aid in clinical decision support by assisting in the development of a set of rules in a knowledge domain.

Natural language processing technologies such as text analysis, speech recognition, and translation aid in improving healthcare accuracy and thus improving patient outcomes. Natural language processing, for example, can be critical in analyzing prepared reports on radiology examinations and clinical documentation classification (Reddy et al., 2019). Finally, physical robots can aid in the creation of a precise invasive incision and improve visibility during surgery, thereby improving patient outcomes.

The project team will include healthcare management, whose role will be to acquire the necessary technology, such as machine language and natural language systems, to improve patient efficiency and outcomes. Health care providers in various departments select the best artificial intelligence for improving patient outcomes. The role of nurse information is to educate practitioners on how to use the machine to transform healthcare services. Furthermore, nurse informatics will monitor the performance and outcomes of the technologies identified as effective in ensuring real improvement in the healthcare setting.

References

Ahuja, A. S. (2019). The impact of artificial intelligence in medicine on the future role of the physician. PeerJ, 7, e7702. https://doi.org/10.7717/peerj.7702

Choudhury, A., & Asan, O. (2020). Role of artificial intelligence in patient safety outcomes: systematic literature review. JMIR Medical Informatics, 8(7), e18599. https://preprints.jmir.org/preprint/18599

Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616181/

Hollis, K. F., Soualmia, L. F., & Séroussi, B. (2019). Artificial intelligence in health informatics: Hype or reality?. Yearbook of Medical Informatics, 28(1), 3. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697542/

Park, S. H., & Han, K. (2018). Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction. Radiology, 286(3), 800-809. https://doi.org/10.1148/radiol.2017171920

Reddy, S., Fox, J., & Purohit, M. P. (2019). Artificial intelligence-enabled healthcare delivery. Journal of the Royal Society of Medicine, 112(1), 22-28. https://doi.org/10.1177/0141076818815510

Interaction Between Nurse Informaticists and Other Specialists

The American Nursing Association (ANA) defines nursing informatics as a specialty that integrates analytical science with nursing sciences in collecting, defining, managing, and dispersing knowledge, information, data, or knowledge in the nursing field (Nagle et al., 2017). In the early 1970s, computers began to be slowly acknowledged in providing basic information technology in the healthcare sector, especially nursing. They were initially utilized to provide information in pharmacy, radiology, and laboratory departments (Nagle et al., 2017). Later, they were designed to provide information in various departments within healthcare institutions. Over time, organizations have realized the need for effective collaboration between information technology workers and clinical personnel for the delivery of quality output services in the health sector. It is this teamwork that eventually yielded to the specialty of nursing informatics.

Nursing informatics specialists play a vital role in developing and applying computerized patient information systems by offering technical knowledge and experience to clinical officials (Tso Ying, 2017). Informatics also electronically document data in more informed, and standardized notes, which are readily available to clinical workers and physicians, thus making nurse’s decisions more effective (Cummins et al., 2016). Although nurses apply their knowledge and experiences to improve patient care, informatics do extra work by; conducting further explorations on comprehensive nursing practices and researching on evidence to ensure that the nursing practices are effective (Cummins et al., 2016). Nursing informatics also plays an upper hand by training nurses on the application of clinical information technology systems. Patients are also beneficiaries of nursing informatics by being offered detailed clinical decisions and benefit from lower rates of admission and readmission by spending less time during hospital visits upon informatics effectiveness.

References

Cummins, M. R., Gundlapalli, A. V., Murray, P., Park, H. A., & Lehmann, C. U. (2016). Nursing informatics certification worldwide: history, pathway, roles, and motivation. Yearbook of medical informatics, 25(01), 264-271. DOI: 10.15265/IY-2016-039

Nagle, L. M., Sermeus, W., & Junger, A. (2017). Evolving Role of the Nursing Informatics Specialist. Studies in health technology and informatics, 232, 212–221.

Tso Ying, L. E. E. (2017, January). The Roles and Functions of Informatics Nurse Specialists in Taiwan. In Forecasting Informatics Competencies for Nurses in the Future of Connected Health: Proceedings of the Nursing Informatics Post Conference 2016 (Vol. 232, p. 97). IOS Press.

Thank you for sharing your splendid discussion post with the class! I have enjoyed reading your post and noted that you are working in a fast-paced wound care center where you meet numerous patients (McGonigle & Mastrian, 2022). I strongly agree with you that most healthcare facilities might face financial constraints leading to their closure. It is imperative to understand that knowledge and expertise of professional data is paramount for effective operations and care delivery in the healthcare system (Hilton, 2022). There is a need for healthcare professionals to embrace new information technology in their practice to enhance positive patient outcomes. Effective application of nursing informatics would contribute to successful sharing of critical information and high-quality patient-centered care (Garcia-Dia, 2021).

Best of Luck!

Leah!

References

McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.

Garcia-Dia,M. (2021). Nursing Informatics: An Evolving Specialty. DOI: 10.1097//01.NUMA0000743444.08164.b4

Hilton, L. (2022). Nursing Informatics: Vital to the Profession. Retrieved on March 8, 2023, from nurse.com