NURS FPX 6414 Assessment 3 Tool Kit for Bioinformatics Table 1 Details of risk genes variants

 

(Jürgens et al., 2022)

Figure 1

Cumulative prevalence of breast cancer 

(Jürgens et al., 2022)

Legal and Ethical Implications

The implementation of bioinformatics in healthcare settings has several legal and ethical implications. Data privacy, informed consent, and compliance with HIPAA law are paramount. Since the bioinformatics system caters to extensive patient data and genomic information, it is essential to use data protection and privacy measures to avoid breaches and misuse (Mohammed Yakubu & Chen, 2020). Secondly, informed consent is another important legal implication of bioinformatics, as it is crucial to avoid legal repercussions and protect patients’ rights to their health information and treatment. 

On the other hand, from an ethical standpoint, implementing bioinformatics raises issues related to autonomy and justice. Autonomy is the patient’s right to choose. In the case of genomic studies, patients must have the right to choose genetic testing based on informed consent, including the study’s potential risks and benefits. Moreover, the information gathered from the genetic studies must benefit the communities most. Collective benefits should be encouraged, which, if not, may raise concerns about the ethical principle of justice and fairness 

Responsible and Accountable Use of Data

The responsible and accountable use of data in bioinformatics necessitates clear identification of areas of responsibility, such as data collection, data storage, and data transmission, using robust security and privacy measures. Interpreting data and making decisions according to them is the primary responsibility of healthcare professionals. They must ensure the ethical use of information. Simultaneously, the care setting is liable for policy development and compliance with data protection regulations. Researchers play a central role in enhancing ethical data usage by developing evidence-based algorithms. Finally, supervising data across the interdisciplinary team requires extra accountability to uphold patients’ trust and ensure bioinformatics’s moral, protected, and practical integration for preventive medicine in tertiary care settings. 

References

Johnson, S. B., Slade, I., Giubilini, A., & Graham, M. (2020). Rethinking the ethical principles of genomic medicine services. European Journal of Human Genetics, 28(2), 147–154. https://doi.org/10.1038/s41431-019-0507-1 

Jürgens, H., Roht, L., Leitsalu, L., Nõukas, M., Palover, M., Nikopensius, T., Reigo, A., Kals, M., Kallak, K., Kütner, R., Budrikas, K., Kuusk, S., Valvere, V., Laidre, P., Toome, K., Rekker, K., Tooming, M., Ülle Murumets, Kahre, T., … Tõnisson, N. (2022). Precise, genotype-first breast cancer prevention: Experience with transferring monogenic findings from a population biobank to the clinical setting. Frontiers in Genetics, 13. https://www.frontiersin.org/articles/10.3389/fgene.2022.881100 

Khoury, M. J., & Holt, K. E. (2021). The impact of genomics on precision public health: Beyond the pandemic. Genome Medicine, 13(1), 67. https://doi.org/10.1186/s13073-021-00886-y 

NURS FPX 6414 Assessment 3 Tool Kit for Bioinformatics

Majhi, V., Paul, S., & Jain, R. (2019). Bioinformatics for healthcare applications. 2019 Amity International Conference on Artificial Intelligence (AICAI), 204–207. https://doi.org/10.1109/AICAI.2019.8701277