Use the resources linked below to help complete this assessment.
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Bioinformatics
· 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 on
Health 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.