This document provides information about a dissertation writing service called Home Of Dissertations. It includes their website, contact number, and discusses contemporary social issues in healthcare that could be topics for a case study dissertation. Some potential topics discussed are using technology to manage patient data, addressing health inequalities, and how advanced analytics can help mitigate health barriers and errors in data management while encouraging agility in healthcare goals. The document provides an outline for discussing these issues, how they impact care delivery and stakeholders, and recommendations for how the issues could achieve more disruptive services.

1. Company Name: Home Of Dissertations
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Contemporary Social Issues (Case Study)
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2. Contemporary Social Issues
Student Name:
Student ID:

3. ● Patient-oriented value system
design (Kumar, and Singh,
2018)
● Technology uses for the
management of patients data
● Advanced analytics for error
free data management
● Focusing on healthcare goals
by encouraging agility
Introduction

4. The specific area within health and social care
● Mitigating the health barriers and taking patient consent
before sharing data
● Identifying health inequalities and recommend strategies
● Pre-identification of threats that will prevent deaths by using
advanced monographs‘(Mehta, and Pandit, 2018)
● Influence working as a health data administrator within
healthcare domain

5. Discussion on the specific contemporary healthcare issue
Quality maintenance
evaluation in healthcare
a) Satisfactory
b) Very satisfactory
c) Neutral-yes
d) Dissatisfies
e) Very dissatisfied

6. Discussion on the specific contemporary healthcare issue

7. Affected people within the issue

8. How it impacts the care delivery
Low Average Neutral High Very High
Patient Yes
Nursing staff Yes
Administrator Yes
Government Yes
Hospital Yes Yes

9. How it impacts the care delivery

10. Recommendation on the way chosen issue
achieves disruptive services

11. Recommendation on the way chosen issue
achieves disruptive services

12. ● Indulgence of supervision and instant
monitoring
● Remote areas are taken into consideration
● Uses of cloud, EHRs for storage and
advanced analytics (Shahbaz et al. 2019)
● Meeting patient trust and loyalty
components
Conclusion

13. References
Mehta, N. and Pandit, A., 2018. Concurrence of big data analytics and healthcare: A systematic
review. International journal of medical informatics, 114, pp.57-65.
Kumar, S. and Singh, M., 2018. Big data analytics for healthcare industry: impact, applications, and
tools. Big data mining and analytics, 2(1), pp.48-57.
Shahbaz, M., Gao, C., Zhai, L., Shahzad, F. and Hu, Y., 2019. Investigating the adoption of big data analytics
in healthcare: the moderating role of resistance to change. Journal of Big Data, 6(1), pp.1-20.
Manogaran, G., Lopez, D., Thota, C., Abbas, K.M., Pyne, S. and Sundarasekar, R., 2017. Big data analytics
in healthcare Internet of Things. In Innovative healthcare systems for the 21st century (pp. 263-284).
Springer, Cham.
Cohen, I.G. and Mello, M.M., 2018. HIPAA and protecting health information in the 21st
century. Jama, 320(3), pp.231-232.

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