Interaction Between Nurse Informaticists And Other Specialists Assignment

Sample Interaction Between Nurse Informaticists And Other Specialists Assignment Assignment Instructions

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ASSIGNMENTOf course, humans don’t fare too badly in this regard either. And healthcare is a great example. As specialists in the collection, access, and application of data, nurse informaticists collaborate with specialists on a regular basis to ensure that appropriate data is available to make decisions and take actions to ensure the general well-being of patients.

In this Discussion, you will reflect on your own observations of and/or experiences with informaticist collaboration. You will also propose strategies for how these collaborative experiences might be improved.

Review the Resources and reflect on the evolution of nursing informatics from a science to a nursing specialty.

Consider your experiences with nurse Informaticists or technology specialists within your healthcare organization.

Resources for assignment 

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.

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.

https://www.youtube.com/watch?v=q1gNQ9dm0zg

https://www.youtube.com/watch?v=sofmUeQkMLU

Post a description of experiences or observations about how nurse informaticists and/or data or technology specialists interact with other professionals within your healthcare organization. Suggest at least one strategy on how these interactions might be improved. Be specific and provide examples. Then, explain the impact you believe the continued evolution of nursing informatics as a specialty and/or the continued emergence of new technologies might have on professional interactions.

DUE 09/11/2019 BY 8AM 

part 2

 

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.

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.

DUE 9/13/2019 8AM

Sample Interaction Between Nurse Informaticists And Other Specialists Assignment Answers

Prediction of influenza vaccination outcome by neural networks and logistic regression

Introduction

According to Polit (2010), the definition of logistic regression is “it analyzes the relationship between multiple independent variables and a single dependent variable, and yields a predictive equation (Pg. 306).” What make logistic regression useful are the biological systems and issues with which the health care field is concerned. We use logistic regression in healthcare to diagnose, predict, and forecast what could happen to patients.

Article Selection of Interest

“Prediction of influenza vaccination outcome by neural networks and logistic regression.”

Tritica-Majnaric, L., Zekic-Susac, M., Sarlija, N., and Vitale, B. (2010). Prediction of influenza  vaccination outcome by neural networks and logistic regression. Journal of biomedical Informatics43(5), 774-781. Doi:10.1016/j.jbi.2010.04.011

Critical Analysis of Article for Interaction Between Nurse Informaticists And Other Specialists Assignment

What are the goals and purposes of the research study the article describes? The purpose of the study was to design a computer-based neural network model that will enable successful prediction of the outcome of influenza vaccine efficacy based on data related to influenza viruses and influenza vaccination, in combination with historical medical data (Tritica-Majnaric at al, 2010). The aim of the study was to design an intelligent computer-based neural network model that will enable successful prediction of the outcome of influenza vaccine efficacy (Tritica-Majnaric at al, 2010).

How is logistic regression used in the study? What are the results of its use? Logistic regression modeling is widely used for analyzing multivariate data providing a powerful technique analogous to multiple regression and ANOVA for continuous responses (Tritica-Majnaric at al, 2010). The likelihood function of mutually independent variables Y1,…,Yn with outcomes measured on a binary scale is a member of the exponential family with (log(π11-π1),…,log(πn1-πn)) as a canonical parameter (πj is a probability that Yj becomes 1), the assumption of the logistic regression model is a linear relationship between a canonical parameter and the vector of explanatory variables x(Tritica-Majnaric at al, 2010).  Three algorithms and logistic regression were used in order to provide the influenza vaccination probability model that could be used for prediction purposes in the practice of primary health care physicians, where the vaccine is usually dispensed (Tritica-Majnaric at al, 2010).

What other quantitative and statistical methods could be used to address the research issue discussed in the article? Cross-validation was used in this paper because it produces no statistical bias of the result since each tested sample is not a member of the training set (Tritica-Majnaric at al, 2010). Others used are neural network methodology, logistic regression methodology, and evaluating model performance (Tritica-Majnaric at al, 2010).

What are the strengths and weaknesses of the study? The main challenge is to predict which individual will most likely adequately respond to conventional influenza vaccines and which individual will not (Tritica-Majnaric at al, 2010). The artificial neural networks (ANN) have been shown to be a suitable computer-based method which can incorporate non-linear effects and interactions between multiple variables in a valid probability model (Tritica-Majnaric at al, 2010). The model is based on the results of vaccination by the influenza vaccine strain, the content of which was recently changed and on which, therefore, a poor antibody response was expected (Tritica-Majnaric at al, 2010). The results were compared with a standard logistic regression approach (Tritica-Majnaric at al, 2010). The major challenge in influenza vaccination is to predict vaccine efficacy (Tritica-Majnaric at al, 2010).

How could the weaknesses of the study be remedied? One way of remediating the weakness of the study is to use a larger sample size. Another way is to continue testing the influenza vaccine until the most accurate one becomes available.

How could findings from this study contribute to evidence-based practice, the nursing profession, or society? It gives a prediction of the outcome of influenza vaccination based on real historical medical data.

Conclusion

The influenza vaccination is fascinating to me in that hopefully one day, there will be a universal vaccination that covers all strains and maybe a person only has to get it once every five years or so. The importance of the study is that it continues to be researched to find that one vaccine to cover everyone.

References

Gray, J.R., Grove, S.K., and Sutherland, S. (2017). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Saunders Elsevier.

Polit, D.F. (2010). Statistics and Data Analysis for Nursing Research (2nd Ed.). Pearson Education Inc., Upper Saddle River, New Jersey.

Tritica-Majnaric, L., Zekic-Susac, M., Sarlija, N., and Vitale, B. (2010). Prediction of influenza vaccination outcome by neural networks and logistic regression. Journal of biomedical

Informatics43(5), 774-781. Doi:10.1016/j.jbi.2010.04.011

 Peer Response

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 Peer Response

Hi Jennifer Dabler, logistic regression, analyses the relationship between the multiple independent and single dependent variable. The most important aspect of logistic regression is that it helps in exploring the factors linked with given health or biological issues. Besides, it can be used to predict what is likely to be experienced in future based on already experienced cases (Connelly, 2020). On the other hand, the prediction may not be always accurate because of the dynamics in the biological systems or settings applied. In your case, you focused on exploring the prediction of influenza vaccination outcomes by the neural networks and regression.

The purpose of the study involved the use of logistic regression models and computer-based neural network model and this would provide a reliable findings and model to support the prediction. Also, it is important to note that the outcomes in the prediction model depend on many factors (Rymarczyk et al., 2019). Therefore, including more variables could help in develop a more realistic and accurate predictive model.

For example, based on your post, it was evident that the using a larger sample population could also be used in improving the reliability and credibility of the prediction model. In addition, the dynamics in the biological predictions are complex because of the variations in the genetic composition of the sample populations.

Finally, the logistic regression has been used widely in healthcare to determine the key factors linked to a given phenomenon. The statistical method helps in understanding various phenomenon and can be used to guide solution formulation to the issues. Application of various statistical methods can help in develop a realistic projection of the relationship between the predictor and outcome variables.

 

 

References

Connelly, L. (2020). Logistic regression. Medsurg Nursing29(5), 353-354. https://dx.doi.org/10.1213%2FANE.0000000000005247

Rymarczyk, T., Kłosowski, G., Kozłowski, E., & Tchórzewski, P. (2019). Comparison of selected machine learning algorithms for industrial electrical tomography. Sensors19(7), 1521. https://doi.org/10.3390/s19071521

 

Other Related Assignment of Interaction Between Nurse Informaticists And Other Specialists Assignment

Complete a Vila Health interactive simulation in which you will practice analyzing the costs and the benefits associated with having the newly acquired rural hospitals switch to the same health information system currently used at the main hospital. Then, develop a cost-benefit spreadsheet and write a 2-3 page executive summary of your findings and recommendations. Introduction Note: The assessments in this course build upon the work you have completed in the previous assessments. Therefore, complete the assessments in the order in which they are presented. Meeting current and future needs means that health care managers must be able to analyze the costs and benefits of implementing new health information systems or taking on new health informatics projects. Cost-benefit analysis is a model that will help managers communicate and justify their projects. It is important for managers to translate the investment of health information technology into a benefit that the organization notices and feels. This assessment provides an opportunity for you to complete a cost-benefit analysis of a health information system and justify your recommendations for implementation, based on best practices.

Overview and Preparation Note:

Complete the assessments in this course in the order in which they are presented. The following resources are required to complete the assessment: APA Style Paper Template [DOCX]. Use this template for your executive summary. Cost-Benefit Analysis Spreadsheet [XLSX]. Use this spreadsheet for your analysis. Vila Health: HIMS Cost Benefit Analysis. This multimedia simulation will enable you to practice analyzing the short- and long-term costs and the benefits of implementing Vila Health’s existing health information system at one of the newly-acquired rural hospitals. Leadership at Vila Health has asked for a cost-benefit analysis to address the pros and cons of having the newly acquired rural hospitals switch to the same health information system currently used by Vila Health. Complete the Vila Health: HIMS Cost-Benefit Analysis interactive simulation. Gather information about the health information system being used by the main hospital. Speak with department heads to obtain their insights, and consider short- and long-term costs and benefits. You may also find it useful to review previous Vila Health simulations. In addition, use the Capella University Library to explore topics relevant to currently available health information system technology and its costs and benefits. Requirements Conduct a cost-benefit analysis to determine the feasibility of the proposed system upgrade. Use the Cost-Benefit Analysis Spreadsheet for your analysis. Write an executive summary of your findings, recommendations, and rationale for your recommendations. Note: Remember that you can submit all—or a portion of—your draft executive summary to Smarthinking for feedback, before you submit the final version for this assessment. If you plan on using this free service, be mindful of the turnaround time of 24–48 hours for receiving feedback.

Document Format and Length Format your executive summary using APA style. Use the APA Style Paper Template [DOCX]. An APA Style Paper Tutorial [DOCX] is also provided to help you in writing and formatting your executive summary. Be sure to include: A title page and references page. An abstract is not required. Appropriate section headings. Your executive summary should be 2–3 pages in length, not including the title page and references page. Supporting Evidence Cite at least two sources of credible scholarly or professional evidence to support your cost-benefit analysis. Cost-Benefit Analysis Note: The requirements outlined below correspond to the grading criteria in the scoring guide. Be sure that your cost-benefit analysis addresses each point, at a minimum. You may also want to read the HIS Cost-Benefit Analysis Scoring Guide to better understand how each criterion will be assessed. Identify the components of the health information system. Consider all system components that should be factored into a cost-benefit analysis. Identify gaps between current health information technology and future needs. What effect might forecasted future needs have on present system integration decisions? Analyze the costs of implementing an upgraded system. Identify all cost items that should be included in the analysis.

Consider short- and long-term costs. Consider the relevant issues, objectives, and leadership decisions that should be factored into the analysis. What additional information could improve the analysis? Analyze the benefits of implementing an upgraded system. Identify all cost items that should be included in the analysis. Consider short- and long-term benefits, as well as the potential benefits to the organization, including patient care. Consider the relevant issues, objectives, and leadership decisions that should be factored into the analysis. What additional information could improve the analysis? Analyze the costs and benefits of not implementing an upgraded system. Consider the short- and long-term costs and potential benefits to the organization, including patient care. Consider the relevant issues, objectives, and leadership decisions that should be factored into the analysis. What additional information could improve the analysis? Determine the impact of evolving business trends on system upgrade decisions. What business trends have the potential to drive future health care informatics and IT needs? How might these trends influence your cost-benefit analysis and project implementation recommendations? What evidence do you have to support your assertions and conclusions? Make implementation recommendations based on your cost-benefit analysis. Justify your recommendations with well-reasoned rationale. Write clearly and concisely, using correct grammar, mechanics, and APA formatting. Express your main points and conclusions coherently.

Proofread your writing to minimize errors that could distract readers and make it more difficult for them to focus on the substance of your analysis. Competencies Measured By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria: Competency 4: Forecast future organizational needs and/or applications of technology based on evolving business trends. Identify gaps between current technology and future needs. Determine the impact of evolving business trends on system upgrade decisions. Competency 5: Analyze current and future system needs and cost-benefit factors to define requirements for system selection. Identify the components of a health information system. Analyze the costs of implementing an upgraded system. Analyze the benefits of implementing an upgraded system. Analyze the costs and benefits of not implementing an upgraded system. Make implementation recommendations based on a cost-benefit analysis. Competency 6: Communicate effectively with diverse audiences, in an appropriate form and style, consistent with applicable organizational, professional, and scholarly standards. Write clearly and concisely, using correct grammar, mechanics, and APA formatting. Use the scoring guide to understand how your assessment will be evaluated. Cost Benefit Numbers From: Unger, Evelyn To: Miguel Ortiz Subject: Project Cost Memo Here is the projected cost for upgrading the rural hospitals to Vila Health’s Health Information systems (EHR, billing, scheduling, LIS, imaging): Workflow Analysis – $18,000 Software Licensing – $27,000/year Training – $13,000 Infrastructure Upgrade – $83,000 Hardware – (upgrade and new) Thanks, Evelyn.

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