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Home>Homework Answsers>Nursing homework helpa year ago11.04.202445Report issuefiles (2)Assess3.docxResourcesforasses3.docxAssess3.docxAssemble a 3-5 page tool kit for the implementation of bioinformatics in an organization or practice setting. Then, provide a one-page executive summary describing a specific instance of how bioinformatics might be implemented under the tool kit policies and guidelines.Collapse AllIntroductionThis assessment focuses on how leaders create structure, guidance, and clarity when faced with adversity and choice for health care delivery. Best practices are important for helping organizations to assess, monitor, and use bioinformatics to enhance outcomes for patient care. Bioinformatics best practices are disseminated through the use of policy, guidelines, and practical recommendations. Using these tools leads to organized, collaborative, and accountable decision making.Tool KitUse the professional literature, the Internet, and any other resources you locate, to assemble a tool kit for implementing bioinformatics in an organization. Your tool kit should include:· An evidence-based policy that explains what is to be done and why.· Guidelines detailing how to apply the policy in practice.· Practical recommendations to assist in implementing the use of bioinformatics.· How to how educate stakeholders on this new practice.· When to monitor data to evaluate outcomes on the use of the policy.· An in-depth look at a specific example of bioinformatics, demonstrating how the policy, guidelines and recommendations will result in quality outcomes with care delivery.· Include data in the form of actual data tables to demonstrate the responsible and accountable use of data in practice.Support your policy, guidelines, and recommendations with references that speak to the legal and ethical ramifications of data use in bioinformatics and the implications for responsible and accountable use of data in practice.Executive SummaryUsing a specific example, write a one-page executive summary for administration to explain how the policy, guidelines, and recommendations will govern the use of bioinformatics in the organization or practice setting.Additional Requirements·Tool Kit:·Length:3-5 pages.·Font and font size: Times New Roman, 12 point.·Reference:5-7 scholarly sources. Additional references may be used.·Written communication:Written communication is free of errors that detract from the overall message.·APA formatting:Format your tool kit using APA style. Use theAPA Style Paper Template [DOCX]to format your tool kit. Be sure to include the following:· Appropriate section headings.· A running head on all pages.· A title page and references page.·Executive Summary:·Length of Executive Summary: 250 words.Competencies MeasuredBy successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:· Competency 1: Apply data management techniques to decision making in nursing practice.· Evaluate evidence-based policy, guidelines, and practical recommendations for the implementation of bioinformatics in an organization or practice setting.· Apply a specific example of an implementation of bioinformatics to inform and plan for quality outcomes with care delivery.· Competency 3: Articulate strategies for querying and generating reports from health information system databases.· Analyze the legal and ethical ramification of using bioinformatics in practice.· Incorporate responsible and accountable use of data with bioinformatics.· Competency 6: Communicate as a practitioner-scholar, consistent with the expectations of a nursing professional.· Compose an executive summary that is professionally written and explains the policy, guidelines, and implementation recommendations in the context of a specific organizational example.Resourcesforasses3.docxUse the resources linked below to help complete this assessment.Collapse AllBioinformatics· McGonigle, D., & Mastrian, K. (2022).Nursing informatics and the foundation of knowledge(5th ed.). Jones & Bartlett.Available in the courseroom via the VitalSource Bookshelf link.· Chapter 24, “Bioinformatics, Biomedical Informatics, and Computational Biology.”· Kodra, Y., Weinbach, J., Posada-de-la-Paz, M., Coi, A., Lemonnier, S. L., van Enckevort, D., Roos, M., Jacobsen, A., Cornet, R., Ahmed, S. F., Bros-Facer, V., Popa, V., Van Meel M., Renault, D., von Gizycki, R, Santoro, M., Landais, P., Torreri, P., Carta, C., Mascalzoni, D., Gainotti, S., Lopez, E., Ambrosini, A., Müller, H., Reis, R., Bianchi, F., Rubinstein, Y., Lochmüller, H., & Taruscio, D. (2018).Recommendations for improving the quality of rare disease registries.International Journal of Environmental Research and Public Health,15(8), 1644–1666.· Krempel, R., Kulkarni, P., Yim, A., Lang, U., Habermann, B., & Frommolt, P. (2018).Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB).BMC Bioinformatics,19(1), 1–10.· Regan, M., Engler, M. B., Coleman, B., Daack‐Hirsch, S., & Calzone, K. A. (2019).Establishing the genomic knowledge matrix for nursing science.Journal of Nursing Scholarship,51(1), 50–57.· Yang, J., Zhang, S., Zhang, J., Dong, J., Wu, J., Zhang, L., Guo, P., Tang, S., Zhao, Z., Wang, H., Zhao, Y., Zhang, W., and Wu, F. (2018).Identification of key genes and pathways using bioinformatics analysis in septic shock children.Infection and Drug Resistance,11, 1163–1174.· Zhang, K., Kong, X., Feng, G., Xiang, W., Chen, L., Yang, F., Cao, C., Ding, Y., Chen, H., Chu, M., Wang, P., & Zhang, B. (2018).Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.Journal of Ovarian Research,11(16), 1–11.Understanding Implications in Practice· McGonigle, D., & Mastrian, K. (2022).Nursing informatics and the foundation of knowledge(5th ed.). Jones & Bartlett.Available in the courseroom via the VitalSource Bookshelf link.· Chapter 25, “The Art of Caring in Technology-Laden Environments.”· David, H. B. F., & Belcy, S. A. (2018).Heart disease prediction using data mining techniques.ICTACT Journal on Soft Computing,9(1), 1817–1823.· El aboudi, N., & Benhlima, L. (2018).Big data management for healthcare systems: Architecture, requirements, and implementation.Advances in Bioinformatics,2018, 1–10.· Hoyle, P. (2019).Health information is central to changes in healthcare: A clinician’s view.Health Information Management Journal, 48(1), 48–51.Responsibility and Accountability in Practice· Favaretto, M., de Clercq, E., & Elger, B. S. (2019).Big data and discrimination: Perils, promises and solutions. A systematic review.Journal of Big Data,6(1), 1-27.· Gurgen Erdogan, T., & Tarhan, A. (2018).A goal-driven evaluation method based on process mining for healthcare processes.Applied Sciences,8(6), 1-22.· Ienca, M., Ferretti, A., Hurst, S., Puhan, M., Lovis, C., & Vayena, E. (2018).Considerations for ethics review of big data health research: A scoping review.PloS One,13(10), 1-15.· Seyhan, A. A., & Carini, C. (2019).Are innovation and new technologies in precision medicine paving a new era in patients centric care?Journal of Translational Medicine,17(114), 1-28.· Shepheard, J. (2019).Ethical leadership and why health information management professionals need to be involved. Commentary onHealth Information Is Central to Changes in Healthcare:A Clinician’s View(Hoyle, 2019).Health Information Management Journal,48(1), 52-55.Scope and Standards of Practice· American Nurses Association. (2015).Nursing informatics:Scope and standards of practice(2nd ed.). Silver Spring, MD: Author.Resourcesforasses3.docxUse the resources linked below to help complete this assessment.Collapse AllBioinformatics· McGonigle, D., & Mastrian, K. (2022).Nursing informatics and the foundation of knowledge(5th ed.). Jones & Bartlett.Available in the courseroom via the VitalSource Bookshelf link.· Chapter 24, “Bioinformatics, Biomedical Informatics, and Computational Biology.”· Kodra, Y., Weinbach, J., Posada-de-la-Paz, M., Coi, A., Lemonnier, S. L., van Enckevort, D., Roos, M., Jacobsen, A., Cornet, R., Ahmed, S. F., Bros-Facer, V., Popa, V., Van Meel M., Renault, D., von Gizycki, R, Santoro, M., Landais, P., Torreri, P., Carta, C., Mascalzoni, D., Gainotti, S., Lopez, E., Ambrosini, A., Müller, H., Reis, R., Bianchi, F., Rubinstein, Y., Lochmüller, H., & Taruscio, D. (2018).Recommendations for improving the quality of rare disease registries.International Journal of Environmental Research and Public Health,15(8), 1644–1666.· Krempel, R., Kulkarni, P., Yim, A., Lang, U., Habermann, B., & Frommolt, P. (2018).Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB).BMC Bioinformatics,19(1), 1–10.· Regan, M., Engler, M. B., Coleman, B., Daack‐Hirsch, S., & Calzone, K. A. (2019).Establishing the genomic knowledge matrix for nursing science.Journal of Nursing Scholarship,51(1), 50–57.· Yang, J., Zhang, S., Zhang, J., Dong, J., Wu, J., Zhang, L., Guo, P., Tang, S., Zhao, Z., Wang, H., Zhao, Y., Zhang, W., and Wu, F. (2018).Identification of key genes and pathways using bioinformatics analysis in septic shock children.Infection and Drug Resistance,11, 1163–1174.· Zhang, K., Kong, X., Feng, G., Xiang, W., Chen, L., Yang, F., Cao, C., Ding, Y., Chen, H., Chu, M., Wang, P., & Zhang, B. (2018).Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.Journal of Ovarian Research,11(16), 1–11.Understanding Implications in Practice· McGonigle, D., & Mastrian, K. (2022).Nursing informatics and the foundation of knowledge(5th ed.). Jones & Bartlett.Available in the courseroom via the VitalSource Bookshelf link.· Chapter 25, “The Art of Caring in Technology-Laden Environments.”· David, H. B. F., & Belcy, S. A. (2018).Heart disease prediction using data mining techniques.ICTACT Journal on Soft Computing,9(1), 1817–1823.· El aboudi, N., & Benhlima, L. (2018).Big data management for healthcare systems: Architecture, requirements, and implementation.Advances in Bioinformatics,2018, 1–10.· Hoyle, P. (2019).Health information is central to changes in healthcare: A clinician’s view.Health Information Management Journal, 48(1), 48–51.Responsibility and Accountability in Practice· Favaretto, M., de Clercq, E., & Elger, B. S. (2019).Big data and discrimination: Perils, promises and solutions. A systematic review.Journal of Big Data,6(1), 1-27.· Gurgen Erdogan, T., & Tarhan, A. (2018).A goal-driven evaluation method based on process mining for healthcare processes.Applied Sciences,8(6), 1-22.· Ienca, M., Ferretti, A., Hurst, S., Puhan, M., Lovis, C., & Vayena, E. (2018).Considerations for ethics review of big data health research: A scoping review.PloS One,13(10), 1-15.· Seyhan, A. A., & Carini, C. (2019).Are innovation and new technologies in precision medicine paving a new era in patients centric care?Journal of Translational Medicine,17(114), 1-28.· Shepheard, J. (2019).Ethical leadership and why health information management professionals need to be involved. Commentary onHealth Information Is Central to Changes in Healthcare:A Clinician’s View(Hoyle, 2019).Health Information Management Journal,48(1), 52-55.Scope and Standards of Practice· American Nurses Association. (2015).Nursing informatics:Scope and standards of practice(2nd ed.). Silver Spring, MD: Author.Assess3.docxAssemble a 3-5 page tool kit for the implementation of bioinformatics in an organization or practice setting. Then, provide a one-page executive summary describing a specific instance of how bioinformatics might be implemented under the tool kit policies and guidelines.Collapse AllIntroductionThis assessment focuses on how leaders create structure, guidance, and clarity when faced with adversity and choice for health care delivery. Best practices are important for helping organizations to assess, monitor, and use bioinformatics to enhance outcomes for patient care. Bioinformatics best practices are disseminated through the use of policy, guidelines, and practical recommendations. Using these tools leads to organized, collaborative, and accountable decision making.Tool KitUse the professional literature, the Internet, and any other resources you locate, to assemble a tool kit for implementing bioinformatics in an organization. Your tool kit should include:· An evidence-based policy that explains what is to be done and why.· Guidelines detailing how to apply the policy in practice.· Practical recommendations to assist in implementing the use of bioinformatics.· How to how educate stakeholders on this new practice.· When to monitor data to evaluate outcomes on the use of the policy.· An in-depth look at a specific example of bioinformatics, demonstrating how the policy, guidelines and recommendations will result in quality outcomes with care delivery.· Include data in the form of actual data tables to demonstrate the responsible and accountable use of data in practice.Support your policy, guidelines, and recommendations with references that speak to the legal and ethical ramifications of data use in bioinformatics and the implications for responsible and accountable use of data in practice.Executive SummaryUsing a specific example, write a one-page executive summary for administration to explain how the policy, guidelines, and recommendations will govern the use of bioinformatics in the organization or practice setting.Additional Requirements·Tool Kit:·Length:3-5 pages.·Font and font size: Times New Roman, 12 point.·Reference:5-7 scholarly sources. Additional references may be used.·Written communication:Written communication is free of errors that detract from the overall message.·APA formatting:Format your tool kit using APA style. Use theAPA Style Paper Template [DOCX]to format your tool kit. Be sure to include the following:· Appropriate section headings.· A running head on all pages.· A title page and references page.·Executive Summary:·Length of Executive Summary: 250 words.Competencies MeasuredBy successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:· Competency 1: Apply data management techniques to decision making in nursing practice.· Evaluate evidence-based policy, guidelines, and practical recommendations for the implementation of bioinformatics in an organization or practice setting.· Apply a specific example of an implementation of bioinformatics to inform and plan for quality outcomes with care delivery.· Competency 3: Articulate strategies for querying and generating reports from health information system databases.· Analyze the legal and ethical ramification of using bioinformatics in practice.· Incorporate responsible and accountable use of data with bioinformatics.· Competency 6: Communicate as a practitioner-scholar, consistent with the expectations of a nursing professional.· Compose an executive summary that is professionally written and explains the policy, guidelines, and implementation recommendations in the context of a specific organizational example.Resourcesforasses3.docxUse the resources linked below to help complete this assessment.Collapse AllBioinformatics· McGonigle, D., & Mastrian, K. (2022).Nursing informatics and the foundation of knowledge(5th ed.). Jones & Bartlett.Available in the courseroom via the VitalSource Bookshelf link.· Chapter 24, “Bioinformatics, Biomedical Informatics, and Computational Biology.”· Kodra, Y., Weinbach, J., Posada-de-la-Paz, M., Coi, A., Lemonnier, S. L., van Enckevort, D., Roos, M., Jacobsen, A., Cornet, R., Ahmed, S. F., Bros-Facer, V., Popa, V., Van Meel M., Renault, D., von Gizycki, R, Santoro, M., Landais, P., Torreri, P., Carta, C., Mascalzoni, D., Gainotti, S., Lopez, E., Ambrosini, A., Müller, H., Reis, R., Bianchi, F., Rubinstein, Y., Lochmüller, H., & Taruscio, D. (2018).Recommendations for improving the quality of rare disease registries.International Journal of Environmental Research and Public Health,15(8), 1644–1666.· Krempel, R., Kulkarni, P., Yim, A., Lang, U., Habermann, B., & Frommolt, P. (2018).Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB).BMC Bioinformatics,19(1), 1–10.· Regan, M., Engler, M. B., Coleman, B., Daack‐Hirsch, S., & Calzone, K. A. (2019).Establishing the genomic knowledge matrix for nursing science.Journal of Nursing Scholarship,51(1), 50–57.· Yang, J., Zhang, S., Zhang, J., Dong, J., Wu, J., Zhang, L., Guo, P., Tang, S., Zhao, Z., Wang, H., Zhao, Y., Zhang, W., and Wu, F. (2018).Identification of key genes and pathways using bioinformatics analysis in septic shock children.Infection and Drug Resistance,11, 1163–1174.· Zhang, K., Kong, X., Feng, G., Xiang, W., Chen, L., Yang, F., Cao, C., Ding, Y., Chen, H., Chu, M., Wang, P., & Zhang, B. (2018).Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.Journal of Ovarian Research,11(16), 1–11.Understanding Implications in Practice· McGonigle, D., & Mastrian, K. (2022).Nursing informatics and the foundation of knowledge(5th ed.). Jones & Bartlett.Available in the courseroom via the VitalSource Bookshelf link.· Chapter 25, “The Art of Caring in Technology-Laden Environments.”· David, H. B. F., & Belcy, S. A. (2018).Heart disease prediction using data mining techniques.ICTACT Journal on Soft Computing,9(1), 1817–1823.· El aboudi, N., & Benhlima, L. (2018).Big data management for healthcare systems: Architecture, requirements, and implementation.Advances in Bioinformatics,2018, 1–10.· Hoyle, P. (2019).Health information is central to changes in healthcare: A clinician’s view.Health Information Management Journal, 48(1), 48–51.Responsibility and Accountability in Practice· Favaretto, M., de Clercq, E., & Elger, B. S. (2019).Big data and discrimination: Perils, promises and solutions. A systematic review.Journal of Big Data,6(1), 1-27.· Gurgen Erdogan, T., & Tarhan, A. (2018).A goal-driven evaluation method based on process mining for healthcare processes.Applied Sciences,8(6), 1-22.· Ienca, M., Ferretti, A., Hurst, S., Puhan, M., Lovis, C., & Vayena, E. (2018).Considerations for ethics review of big data health research: A scoping review.PloS One,13(10), 1-15.· Seyhan, A. A., & Carini, C. (2019).Are innovation and new technologies in precision medicine paving a new era in patients centric care?Journal of Translational Medicine,17(114), 1-28.· Shepheard, J. (2019).Ethical leadership and why health information management professionals need to be involved. Commentary onHealth Information Is Central to Changes in Healthcare:A Clinician’s View(Hoyle, 2019).Health Information Management Journal,48(1), 52-55.Scope and Standards of Practice· American Nurses Association. (2015).Nursing informatics:Scope and standards of practice(2nd ed.). Silver Spring, MD: Author.Assess3.docxAssemble a 3-5 page tool kit for the implementation of bioinformatics in an organization or practice setting. Then, provide a one-page executive summary describing a specific instance of how bioinformatics might be implemented under the tool kit policies and guidelines.Collapse AllIntroductionThis assessment focuses on how leaders create structure, guidance, and clarity when faced with adversity and choice for health care delivery. Best practices are important for helping organizations to assess, monitor, and use bioinformatics to enhance outcomes for patient care. Bioinformatics best practices are disseminated through the use of policy, guidelines, and practical recommendations. Using these tools leads to organized, collaborative, and accountable decision making.Tool KitUse the professional literature, the Internet, and any other resources you locate, to assemble a tool kit for implementing bioinformatics in an organization. Your tool kit should include:· An evidence-based policy that explains what is to be done and why.· Guidelines detailing how to apply the policy in practice.· Practical recommendations to assist in implementing the use of bioinformatics.· How to how educate stakeholders on this new practice.· When to monitor data to evaluate outcomes on the use of the policy.· An in-depth look at a specific example of bioinformatics, demonstrating how the policy, guidelines and recommendations will result in quality outcomes with care delivery.· Include data in the form of actual data tables to demonstrate the responsible and accountable use of data in practice.Support your policy, guidelines, and recommendations with references that speak to the legal and ethical ramifications of data use in bioinformatics and the implications for responsible and accountable use of data in practice.Executive SummaryUsing a specific example, write a one-page executive summary for administration to explain how the policy, guidelines, and recommendations will govern the use of bioinformatics in the organization or practice setting.Additional Requirements·Tool Kit:·Length:3-5 pages.·Font and font size: Times New Roman, 12 point.·Reference:5-7 scholarly sources. Additional references may be used.·Written communication:Written communication is free of errors that detract from the overall message.·APA formatting:Format your tool kit using APA style. Use theAPA Style Paper Template [DOCX]to format your tool kit. Be sure to include the following:· Appropriate section headings.· A running head on all pages.· A title page and references page.·Executive Summary:·Length of Executive Summary: 250 words.Competencies MeasuredBy successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:· Competency 1: Apply data management techniques to decision making in nursing practice.· Evaluate evidence-based policy, guidelines, and practical recommendations for the implementation of bioinformatics in an organization or practice setting.· Apply a specific example of an implementation of bioinformatics to inform and plan for quality outcomes with care delivery.· Competency 3: Articulate strategies for querying and generating reports from health information system databases.· Analyze the legal and ethical ramification of using bioinformatics in practice.· Incorporate responsible and accountable use of data with bioinformatics.· Competency 6: Communicate as a practitioner-scholar, consistent with the expectations of a nursing professional.· Compose an executive summary that is professionally written and explains the policy, guidelines, and implementation recommendations in the context of a specific organizational example.Resourcesforasses3.docxUse the resources linked below to help complete this assessment.Collapse AllBioinformatics· McGonigle, D., & Mastrian, K. (2022).Nursing informatics and the foundation of knowledge(5th ed.). Jones & Bartlett.Available in the courseroom via the VitalSource Bookshelf link.· Chapter 24, “Bioinformatics, Biomedical Informatics, and Computational Biology.”· Kodra, Y., Weinbach, J., Posada-de-la-Paz, M., Coi, A., Lemonnier, S. L., van Enckevort, D., Roos, M., Jacobsen, A., Cornet, R., Ahmed, S. F., Bros-Facer, V., Popa, V., Van Meel M., Renault, D., von Gizycki, R, Santoro, M., Landais, P., Torreri, P., Carta, C., Mascalzoni, D., Gainotti, S., Lopez, E., Ambrosini, A., Müller, H., Reis, R., Bianchi, F., Rubinstein, Y., Lochmüller, H., & Taruscio, D. (2018).Recommendations for improving the quality of rare disease registries.International Journal of Environmental Research and Public Health,15(8), 1644–1666.· Krempel, R., Kulkarni, P., Yim, A., Lang, U., Habermann, B., & Frommolt, P. (2018).Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB).BMC Bioinformatics,19(1), 1–10.· Regan, M., Engler, M. B., Coleman, B., Daack‐Hirsch, S., & Calzone, K. A. (2019).Establishing the genomic knowledge matrix for nursing science.Journal of Nursing Scholarship,51(1), 50–57.· Yang, J., Zhang, S., Zhang, J., Dong, J., Wu, J., Zhang, L., Guo, P., Tang, S., Zhao, Z., Wang, H., Zhao, Y., Zhang, W., and Wu, F. (2018).Identification of key genes and pathways using bioinformatics analysis in septic shock children.Infection and Drug Resistance,11, 1163–1174.· Zhang, K., Kong, X., Feng, G., Xiang, W., Chen, L., Yang, F., Cao, C., Ding, Y., Chen, H., Chu, M., Wang, P., & Zhang, B. (2018).Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.Journal of Ovarian Research,11(16), 1–11.Understanding Implications in Practice· McGonigle, D., & Mastrian, K. (2022).Nursing informatics and the foundation of knowledge(5th ed.). Jones & Bartlett.Available in the courseroom via the VitalSource Bookshelf link.· Chapter 25, “The Art of Caring in Technology-Laden Environments.”· David, H. B. F., & Belcy, S. A. (2018).Heart disease prediction using data mining techniques.ICTACT Journal on Soft Computing,9(1), 1817–1823.· El aboudi, N., & Benhlima, L. (2018).Big data management for healthcare systems: Architecture, requirements, and implementation.Advances in Bioinformatics,2018, 1–10.· Hoyle, P. (2019).Health information is central to changes in healthcare: A clinician’s view.Health Information Management Journal, 48(1), 48–51.Responsibility and Accountability in Practice· Favaretto, M., de Clercq, E., & Elger, B. S. (2019).Big data and discrimination: Perils, promises and solutions. A systematic review.Journal of Big Data,6(1), 1-27.· Gurgen Erdogan, T., & Tarhan, A. (2018).A goal-driven evaluation method based on process mining for healthcare processes.Applied Sciences,8(6), 1-22.· Ienca, M., Ferretti, A., Hurst, S., Puhan, M., Lovis, C., & Vayena, E. (2018).Considerations for ethics review of big data health research: A scoping review.PloS One,13(10), 1-15.· Seyhan, A. A., & Carini, C. (2019).Are innovation and new technologies in precision medicine paving a new era in patients centric care?Journal of Translational Medicine,17(114), 1-28.· Shepheard, J. (2019).Ethical leadership and why health information management professionals need to be involved. Commentary onHealth Information Is Central to Changes in Healthcare:A Clinician’s View(Hoyle, 2019).Health Information Management Journal,48(1), 52-55.Scope and Standards of Practice· American Nurses Association. (2015).Nursing informatics:Scope and standards of practice(2nd ed.). 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