information governance program paper

2

Portfolio Project: Milestone

Healthcare Sector

Manchoopaporn Boonchoo

Department of Computer and Information Technology, University of The Cumberlands

ITS 833: Information Governance

Dr. Brian Toevs

April 19, 2021

Executive Summary

Information governance is an essential tool within any organization that makes it easier to increase our functioning and performance. The health care industry requires to have sufficient information governance since it is critical when updating and dealing with patients and also maintaining our information for future referrals. Information is a critical tool that helps make sure that there is sufficient communication and interaction within the organization which is vital for our performance. The organization has to make sure that they do incorporate the proper strategies to help improve flow of information, security of the data, proper storage and planning of the information within the organization. There is a failure of the information reaching numerous entities when there is need is a major issue thus it is important to find out the arising issues and how to manage them. It is important to try and computerize the existing data which is mainly in hard copy files that reduces the efficiency of sharing information which is a major issue hindering the functions and responsibilities of other executives in the workplace. Incorporation of technology into the information governance is essential in making sure that they do take advantage of existing technologies to hasten the process, improve on security while making sure that they use the information to provide the company with a competitive advantage. As the new CIGO, I do believe that the introduction of the above changes and embracing technological advancement will help make positive changes for Jira Healthcare. It is for the benefit of the Jira Healthcare, the general community and the patients when we opt to improve information governance.

Introduction

This proposal presents a comprehensive analysis and recommendations to bring the information governance of Jira Healthcare into compliance with industry Best Practices and legal compliance and to better manage our records to streamline the workload of the organization staff, doctors, and nurses to improve patient outcomes.

This proposal will address the following critical issues:

· Regulatory requirements found in the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and the CFR Title 21, Part 11 Pharmaceuticals, and others could later be identified.

· Best Practices that are applicable to the healthcare industry.

· Risk Management and Mitigation.

· Information Security and Governance.

· Records and E-Records Management.

· Metrics to evaluate Information Governance (IG) Performance.

· Patient record keeping.

· Email and social media strategy.

· Cloud Computing strategy.

· Outline of a Proposed IG Strategic Plan.

Information governance is a sensitive part of any organization in the current market, which is a major influence on the company's functioning and performance. It is important to understand that any organization needs to develop proper information governance to help reduce their current problems, but especially critical to ours because we deal with human life and death. Our practice is having serious issues with the flow of information throughout our practice and the interfaces with other health organizations and with our patients. This is a major threat since one part of the practice might fail to receive information on time, leading to serious repercussion with our patients. Chiasson & Davidson (2005) explained that the lack of the proper flow of information might result to poor management and planning which is a major issue that implies that it is essential to develop the proper understanding of the need for information to be consistent through the workplace. In our case, poor management can also impact patients’ health. In the digital era, confidentiality and privacy of personal data are most important. For our company and patient's trust, we are compelled to comply with the Health Insurance Portability and Accountability Act of 1996 (HIPAA). This act was passed to improve the US healthcare system's efficiency and quality through developed information sharing. As well as increasing the use of E-Records, HIPAA has provisions to protect the security and privacy of protected health information. The present issues such as duplication of the workplace information are a threat to the patients' records which is not appropriate and might discourage the patients from reaching out and opening up regarding their personal issues. The concept is a threat to the workplace's entire functions because it is a major threat that is not appropriate. Embracing technology within the work environment will help make it easy to store, retrieve, and convey the information to all the available parties within the workplace, which is relevant to how they perform (Ratna, 2019). Technology is essential, but it is important to develop information governance policies early in order to prevent serious missteps, non-compliance and to ensure proper functioning and performance. Also, it is important to introduce and boost information security within the workplace since there is an increased risk of compromise with information technology.

As being addressed, this Information Governance program is a new project that Jira Healthcare has decided to develop and to become an integral part in our business model. For the over 50 years that Jira Healthcare has been operating, we have adapted many changes to keep with the technology and the times. The establishment of this new Information Governance department is one of them. We, as a practice, have struggled with the big change of the digital era in which data and information drive a large part of our business requiring streaming data to be real-time, accurate, accessible, and well protected. Our goal toward this change is to successfully create this new department that will work specifically to governing information throughout the practice.

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.

Literature Review

Information governance in the health care industry describes the structures, procedures, and policies developed and followed to collect, organize, utilize, and secure patient data (Maclennan, 2014). As a result, the healthcare sector has designed different healthcare systems to help overcome data management challenges. Hence, good information governance will ensure that all healthcare practitioners in a collaborative manner provide better and efficient care to their patients following an improved holistic view of the information used. Further, the modern digital world has prompted organizations to depend on timely access to accurate information significantly. In such a way, most organizations have to deal with a lot of information that is sometimes unstructured for direct analysis. In the healthcare sector, operations' digitalization has dramatically changed how things are done, causing an increased need to adapt and utilize information governance technologies. These include the program and technology recommendations developed to ensure that the value of patient information is maximized and the costs and potential risks are reduced (Maclennan, 2014). The IG programs and recommendations seek to maximize the information value resulting from the increasingly widespread use of mobile and wearable sensors technologies.

According to Wass & Vimarlund (2019), information governance in the healthcare industry will be influenced by metrics developed to foster, monitor, and evaluate the identified system's success essentially because the governance metric ensures that all stakeholder needs, options, and conditions are analyzed to determine the balanced and agreed-on industry objective, and improved patient care. Appropriate metrics must be used to assist management teams in establishing key management activities such as planning, building, operating running, and monitoring online for the organization's set healthcare objectives. For instance, patient care could be measured to benchmark the quality and safety of service provided, while care management metrics in the industry utilized to help measure and control the effectiveness of healthcare services provision. Established practices and results should be audited to assess their compliance with meeting goals and target adherence (Wass & Vimarlund, 2019). Program and technology metrics will raise awareness about the current state of information in the healthcare industry with respect to the risks, controls, and vulnerabilities.

Nonetheless, information plays a significant role in making an organization better and promotes new developments. According to El Aboudi & Benhlima (2018), however, a drastically increasing aging population in the country faces possible declining life quality experiences mainly because the industry continued to use the antiquated systems. Fortunately, increased use of electronic information by patients has pushed organizations to expand the information revolution. Electronic information, including emails, instant messages, and social media posts, provide unstructured data. In such a way, accessing big data in the industry has seen integrating big data strategies with advanced healthcare quality (El Aboudi & Benhlima, 2018). Essentially, the more information the organization has, the higher the ability to optimally provide improved outcomes. This is an important milestone of maximizing information governance potential.

According to Ismail (2020), unfortunately, the techniques applicable for incorporating such big data in the data management system faces major setbacks, mainly in stopping emergency cases to remain effective. Therefore, it becomes essential that an extensible design technique for big data is founded to improve these healthcare systems' reliability. Further, this will ensure that real-time alerts are created as well as to make predictions about the patients' health conditions (El Aboudi & Benhlima, 2018). This makes the cloud computing strategy important mainly because it can improve the data quality while leveraging strategic decision-making. The cloud computing strategy promotes the movement from on-premises software to adapting the new on-demand cloud solutions. The investment into such cloud strategies has reduced cost and mitigates potential risks.

According to Griffin (2014), it is important to consider that advanced technology alters the present legal regulations. Mainly digital technologies advances have caused a significant change in how relationships between individuals and institutions are regulated. Hence, the growth, increase the challenges by promoting the development of the machine state. As a result, legislation, standards, and regulations have been implemented to help healthcare organizations avoid penalties, defining objective benchmarks against their performance and practices. Therefore, law and governance need to be described in terms of the preexisting regulations as the growth and development of digital technologies offer new regulation techniques. As such, healthcare providers should ensure that they adopt well-designed information governance structures and policies to protect patient data.

The benefits of data security and privacy are achieved by effectively executing big data healthcare systems. Executives' effort in the healthcare industry is promotes the management of big data to play a significant role in disease management. Besides, the management acts as a guide in diagnosing, preventing, and treating various illnesses. In this case, executive members in the industry receive different information sources, including those from the hospital records, medical examination, medical records, and devices from the internet. Therefore, they ensure that their organization's information is monitored so that the information environment is structured (Chiasson, & Davidson, 2005). A monitoring and audit program ensures that all the processes are in place to check that the information governance consultancy framework is successfully implemented.

References

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

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

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

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

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

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

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