Literature review 3 pages

INFORMATION GOVERNANCE 2

Portfolio Project: Milestone 1 – Annotated Bibliography

Healthcare Sector

Manchoopaporn Boonchoo

Department of Computer and Information Technology, University of The Cumberlands

ITS 833: Information Governance

Dr. Brian Toevs

February 13, 2021

Annotated Bibliography

Chiasson, M. W., & Davidson, E. (2005). Taking Industry Seriously in Information Systems

Research. MIS Quarterly, 29(4), 591-605. doi:10.2307/25148701

The author opines that industry is an important concept for both organizations and individuals. The government plays a vital role in maintaining industry statistics, developing regulations for various industries, and formulating legislation to protect others. However, in the past years, industries have received minimal attention in information system research and theory regardless of its increasingly significant influence on information system activities. This is particularly more evident in some industries examined in IS research and the industry theory's infrequent consideration. The instructional theory postulates that several industries can be addressed by determining how they affect IS activities. Industries usually provide an essential contextual environment for building new IS theory and evaluating the boundaries of existing IS theory. Therefore, the industry represents an increasingly important impact on the effects on meaning and pattern of information system activities. Thus, more attention needs to be accorded to the industry in IS theory.

El aboudi, B., & Benhlima, L. (2018). Big Data Management for Healthcare Systems: Architecture,

Requirements, and Implementation. Advances in Bioinformatics, 2018, 1–10. https://doi.org/10.1155/2018/4059018

The increased population of older adults have had serious implications in the healthcare systems and relying on the preexisting classical systems will likely lead to a decline in life quality. Thus, the healthcare industry's increased data has prompted the integration of big data strategies to advance the quality of healthcare. The incorporation of big data techniques in the current data management architecture in healthcare systems has been faced with huge problems in stopping emergency cases. The article proposes an extensible big data design technique founded on batch and stream computing to improve healthcare systems' reliability and establish and create real-time alerts and assist in making predictions regarding patients' conditions. The proposed architecture recommends implementing the prototype in healthcare systems that will assist in generating real time alerts. The management of Big data plays a significant role in disease management and acts as a guide in diagnosis, prevention and treatment of various illnesses. The benefit of data security and privacy is achieved by effectively executing the big data healthcare systems. This paper will provide useful input to describe some of the data that matters to executives in the healthcare industry.

Griffin, J. G. H. (2014). The future of technological law: The machine state. International Review of

Law, Computers & Technology, 28(3), 299–315. https://doi.org/10.1080/13600869.2014.932520

According to the article, the advancement in technology is likely to alter the present legal regulations. Therefore, law and governance need to be described in terms of the preexisting regulation as the growth and development of digital technologies offer a new regulation technique. The author contends that the natural characteristic of technology is likely to become integral in the digitalization of law. The law has turned into a progressively digital entity and has become more apprehensive with an impeccable reproduction of law upon an individual and about in its scope. Further, digital technologies' advancement poses a great change in the regulatory relationships amongst individuals and the government. This is a steep challenge that the government needs to address. Technology development has resulted in innovation, the, the internet, war, industrial upheaval, peace, extermination machinery and peace. Thus, the technological development has led to the growth of a machine state.

MacLennan, A. (2014). Information Governance and Assurance: Reducing Risk, Promoting Policy.

Records Management Journal (London, England), 24(3), 253–255. https://doi.org/10.1108/RMJ-08-2014-0034

The article examines the external factors such as legislation, standards, and regulations that affect an organization towards practicing effective information governance. This helps the organization avoid penalties, defining benchmarks that are against the performances and organizational practices. Information governance describes the process of imposing strategies and rules which govern an organization's information. These practices result in efficient, effective, and ethical usage of information and assist in avoiding the legal effects and assigning legislative recognition of these practices' legal correctness. In the past years, numerous organizations have been struggling to follow the legal requirements to establish well-organized and effective records management. According to the article, the upsurge in online activity requires people to ensure their personal information easier accessibility to organizational information. The article also discusses the benefits of one seeking an individual consent before obtaining their data which is essential in protecting the individual vital interests This paper will be useful for my work in contributing to the discussion on regulatory compliance, data security and privacy, which are hugely significant to the healthcare industry.

Ismail, M. (2020). Requirements of Health Data Management Systems for Biomedical Care and

Research: Scoping Review. Journal of Medical Internet Research, 22(7), e17508–e17508. https://doi.org/10.2196/17508

The author posits that the recent disrupting instances in biomedical research and clinical medicine have resulted in a remarkable modification in health data management systems. This mainly due to numerous inventions that have been achieved in the medical field and the need for integrating the internet of things (IoT), big data analytics in the health management system. Other patient care has evolved, resulting in more accurate diagnoses and prognoses. The historical development of the healthcare management systems has resulted in developing a specific health care management system. The author provides more insight into these systems and determines their benefits and application in the health care system. The comprehensive data management systems enable patients, physicians, and other stakeholders to contribution their lifestyle and medical data into the system. Further, the integration of big data assists in improved identification and prediction of disease. Consequently, the result prediction helps in the development of an effective preventive plan.

Wass, S., & Vimarlund, V. (2019). Same, same but different: Perceptions of patients’ online access to

electronic health records among healthcare professionals. Health Informatics Journal, 25(4), 1538–1548. https://doi.org/10.1177/1460458218779101

The advancement in information sharing has resulted in the application of various services in the healthcare organization. Patients can easily access their information online. The articles illustrate that healthcare professionals are working in direct care experience various benefits, including augmented adherence, explanation of imperative information, and the likelihood for patients to control what is predictable. However, physicians in the outpatient clinics are less persuaded concerning these reimbursements of PAEHRs which makes their patients more upset, excessively worried due to information misinterpretation. Nonetheless, patient access to information has resulted in a significant transformation in information documentation amongst most healthcare specialists. The increased focus on patient involvement and engagement has led to the creation of a more patent technique. A patient-centered approach can improve healthcare delivery and outcomes due to an improved understanding of healthcare information.

References

Chiasson, M. W., & Davidson, E. (2005). Taking Industry Seriously in Information Systems

Research. MIS Quarterly, 29(4), 591-605. doi:10.2307/25148701

Griffin, J. G. H. (2014). The future of technological law: The machine state. International Review of

Law, Computers & Technology, 28(3), 299–315. https://doi.org/10.1080/13600869.2014.932520

MacLennan, A. (2014). Information Governance and Assurance: Reducing Risk, Promoting Policy.

Records Management Journal (London, England), 24(3), 253–255.

https://doi.org/10.1108/RMJ-08-2014-0034

El aboudi, B., & Benhlima, L. (2018). Big Data Management for Healthcare Systems: Architecture,

Requirements, and Implementation. Advances in Bioinformatics, 2018, 1–10. https://doi.org/10.1155/2018/4059018

Ismail, M. (2020). Requirements of Health Data Management Systems for Biomedical Care and

Research: Scoping Review. Journal of Medical Internet Research, 22(7), e17508–e17508. https://doi.org/10.2196/17508

Wass, S., & Vimarlund, V. (2019). Same, same but different: Perceptions of patients’ online access to

electronic health records among healthcare professionals. Health Informatics Journal, 25(4), 1538–1548. https://doi.org/10.1177/1460458218779101