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    Business Report and Marking Guide Phase One: Background Write-up: (500 Words) this includes defining and selecting a topic of interest to the student, identifying the specific technology and organisation context. Then, it is necessary to write a short synopsis to provide the relevant background details of the chosen topic. Phase One Guide 500 Words Marks (15) Topic of Interest –on a topic that relates to the syllabus of this unit, as well as the students’ interest and considerations such as their career options and/or workplace contexts 5 Marks (marks awarded for clarity & logic of statement) Including appropriate scope and fit of the topic with the unit Synopsis of the chosen topic indicating background of the topic, problem for technology to solve or ameliorate and how this will be discussed e.g using case tools presented in class. Note: student is not restricted to use this form of analysis) 5 Marks (2 Marks for professional presentation including format, grammar and spelling. 3 marks for showing relevance and suitability of analysis technique to the problem statement) Discussion of why you think the topic is of importance/relevance to Health Informatics Management as presented in the course syllabus 5 Marks (3 marks awarded for logic and reasoning of explanation. 2marks for appropriate references including correct style and significance in support). use APA or Harvard style referencing. For details and information please refer to Deakin guide to referencing at: https://www.deakin.edu.au/students/studying/studysupport/referencin Phase One Background (Example Outline): TITLE PAGE report title Your name Submission date INTRODUCTION TO TOPIC OF INTEREST (5) Briefly describe the topic and key research goals Outline the problem under consideration and the question(s) to address this. SYNOPSIS OF ANALYSIS APPROACH (5) Outline of the approach to analysis you intend to take and why you think this approach will be useful. Proposed methodology and research design – how will you go about to systematically answer the questions raised – what methods will you use and how will you structure your study – how will you know you are researching what you plan to research? Discussion WHY TOPIC IS OF IMPORTANCE / RELEVANCE TO HEALTH INFORMATICS MANAGEMENT (5) Exploration of why topic is of importance, interesting, novel or relevance to health informatics management REFERENCES All areas are equally weighted. In addition, students must identify if ethics approval is required and if so also prepare the ethics application and have it submitted. Please also note the requirements on academic integrity: http://www.deakin.edu.au/students/studying/study-support/referencing/academic-integrity Due Date The Background write-up is required to be submitted online by Friday 21st December 2018, no later than 5 pm. Suitable technologies include (but are not restricted to) those mentioned throughout the unit e.g. mHealth, eHealth portals, 3D technologies and data centres and appropriate organisations include (but again are not restricted to): healthcare facilities, dental/medical practices, insurance companies, government health organisations and departments and / or pharmaceutical companies.


Subject Report Writing Pages 4 Style APA


The topic selected is “Big Data Analysis in Healthcare.” This topic fits within the unit, as it covers areas such as information or data acquisition, analysis, and protection. Big data analysis technology happens to be among the technologies that have significantly revolutionized the healthcare sector. Adibuzzaman DeLaurentis, and Benneyworth (2017) define big data as datasets whose magnitude exceeds the capability of typical or usual software tools to capture, preserve, manage, process, and evaluate. On the other hand, data analytics refers to quantitative and qualitative techniques and procedures employed in enhancing business gain and productivity (Adibuzzaman et al. 2017). The potential of big data has brought tremendous hope in healthcare research for treatment innovation, drug discovery, optimal patient care, and personalized medicine that improve patient outcomes and reduce cost (Adibuzzaman et al. 2017). As such, it is undeniable that big data has transformed the healthcare sector in a massive way, resulting to the current more efficient and value-based healthcare system. However, despite the enormous transformations attained in healthcare, health insurers continue to grapple with the challenge of fraud, waste, and abuse (FWA).

In healthcare, FWA issues include honest mistakes resulting in erroneous billings, inefficiencies resulting in incorrect diagnostic tests, and false claims leading to improper payments among others (Raghupathi and Raghupathi 2014; Hitchcock 2018). According to Hitchcock (2018), FWA matters can be executed as large-scale operations and solo ventures by institutions and individuals respectively. FWA has resulted into adverse impacts on healthcare industry. For instance, in the United States alone, approximately $80 billion is lost every year due to FWA. This figure accounts for between 3 and 10% of the entire yearly spending on healthcare. The situation is worsened by the finding that only 5% of the lost amount is recovered annually (Hitchcock 2018). Nonetheless, as it has been proven in many healthcare issues, big data analysis technology is considered a remedy for preventing healthcare FWA.

Raghupathi and Raghupathi (2014) assert that the prominent forms of fraud and abuse are service unbundling, billing for costly procedures, up-coding, or services, billing for untendered services, and executing medically unnecessary services. In relation to this, the big data analysis technology allows for the running of algorithms at the same moment as the batch processing of claims is done, thereby resulting into immediate identification, selection, and referral of questionable claims to the clinical coding professionals for review. In this manner, the technology ensures the identification and prevention of potentially wasteful or fraudulent claims.

Big data analysis technology topic is relevant to Health Informatics Management as it focuses on the acquisition, analysis and protection of medical information with the aim of ensuring quality patient care. It is vital to note that healthcare informatics involves the acquisition, evaluation, and protection of conventional and digital medical information vital to offering quality patient care. The topic focuses on how big data analysis technology can be employed in analyzing and detecting fraudulent or wasteful information associated with billing, which can lead to financial losses in healthcare. Such an undertaking ensures effective and efficient management of healthcare information.


Adibuzzaman, M., DeLaurentis, P., Hill, J., and Benneyworth, D. B. 2017. Big data in healthcare – the promises, challenges and opportunities from a research perspective: A case study with a model database. AMIA Annu Symp Proc, 384 – 392.

Hitchcock, E., 2018. The Role of Big Data in Preventing Healthcare Fraud, Waste and Abuse. Accessed December 20, 2018 from: https://www.datameer.com/blog/role-big-data-preventing-healthcare-fraud-waste-abuse/

Raghupathi, W., and Raghupathi, V., 2014.  Big data analytics in healthcare: promise and potential. Health Inf Sci Syst, 2(3). Doi: 10.1186/2047-2501-2-3












Appendix A:

Communication Plan for an Inpatient Unit to Evaluate the Impact of Transformational Leadership Style Compared to Other Leader Styles such as Bureaucratic and Laissez-Faire Leadership in Nurse Engagement, Retention, and Team Member Satisfaction Over the Course of One Year

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