MGT605 - Business Capstone Project Report Writing - Management Assignment Help

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Assignment Task

 

Learnings outcomes

Learnings outcomes

 

overview

instrutions analysis

 

 

 

 

Methodology

 

 

Methodology:

The method of the data collection and relevant analysis shall be dependent on secondary data and their statistical and econometrical analysis through which the businesses which are planned to be overtaken must be relevant to the present industry (Bloomberg, 2020). There are two primary purposes that will be investigated when searching for capturing the improved practice by the pathology industry by some companies as:

  • The potential link of the developed practices in healthcare service industry in the present or future is with respect to raw material, manufacturing, supply chain, and consumerism.
  • The industries which can be or have the potential to integrate with the present infrastructure of the company or the new infrastructure can be sued for both the industrial products and services (Sonic, 2020).
  • Using different journal and website to continue the research regarding new progress on practice for mankind by pathology practice. 

 

Such research could be finding how the pathology sector can be developed by using of improved medical insurance, surgical items, legal consultancy regarding the medical claims and related complexities, hospital infrastructure, supply sector, medical education, etc.

 

Brief justification of proposed research project:

I want to clarify that the main aim to do this research-based project is to discussion of the ongoing trend of pathology, which has been selected as use of “Artificial Intelligence”. I will search the application, development, and consideration in regards of research development in the contexts of the professional practice for prevent any further pandemic comes in future and necessary step regarding mankind. According to Williams, B. J. et. All (2020), pathology department need to work more regarding to tackle more pandemic in foreseeable future.

 

Existing pathology is based on detecting the disease for people. Computational pathology is the greatest invention of the healthcare system and the reason for the computational pathology can reduce the errors on diagnosis of disease and pathogens. Liu Y et al(2017), mention that the Camelyon Grand Challenge 2016 (CAMELYON16 challenge), are able to  assess the detection of cancer in hematoxylin and eosin (H&E), which is visualized by imaging of 92.4% sensitivity in tumor. Not only that computational pathology, which has the potential to improve diagnostic accuracy, optimize patient care, and reduce costs by bringing global collaboration (McAlpine ED, Michelow P.2020). Pathology has rolled in diagnosis COVID-19, Yellow fever as we are only able to test the Corona virus by testing the virus and for testing, we need to use pathology. Pathollogy has been developed rapidly in few years, as digital pathology, molecular pathology, and informatics pathology, computational pathology. These help us to perfume such activity as pulmonary, renal, gastrointestinal, neurology, and gynecology pathology. 

The regular government reports on the national inpatient sample which is developed for healthcare cost and utilization project in the country is the publicly available all-payer health-related database, which will observe the national estimates of the healthcare utilization and its related industries (Hayes, 2016), the average out of the pocket expenses of people in healthcare, a percentage increase in the disease in various issues in coming years, access, quality of the present healthcare structure of Australian governmental and private healthcare sector.

Regular reports on the progress and estimation on the related subject and field are being regularly made out by the local alliances and industry groups which use artificial intelligence and big data for the prediction of different industries and their potential (Labsoftnews, 2019). For example, “artificial intelligence in medicine surgery and healthcare” is a regular conference held every year in Australian cities which will provide various information regarding the usage of artificial intelligence to predict the correlation and potential of various sectors looking at the culture, economy, and habits of people of Australia. 

This observation and data will be especially important for as I will be focusing on one Australian healthcare company named “sonic healthcare” as it will provide a win-win situation for business expansion lowering the cost to the patients and increasing revenue through wider coverage.For justification I have collected some data from a report of WHO and international organizations. Annual world health statistics report of WHO, global healthcare sector outlook of Deloitte group, heath penetration report by UNESCO are some of the reports which will help find the gaps in the current healthcare and to identify the industries which are needed to be included and integrated into the current healthcare infrastructure (Barker, 2018). 

Primary sourcing through digital marketing and AI: Data collection through the use of Google marketing and customers habits and search options who are related directly or indirectly through the industry like the patients, the relative of patients, the people who are in the supply chain industry of healthcare, medical tourism, and healthcare insurance sectors are some of the AI-based Google marketing data which will be observed and valuable information regarding the gaps in the healthcare, needs which are necessary to the consumers and industries which are needed to be integrated can be found out (Chernyshev et al., 2019).

Use of business economics and statistical analysis for conclusive reports: Baghi&Cornides (2013) explains the importance of statistics in healthcare asusage of concepts of business economics like correlation, regression, and time-series analyses will find out the relation between different factors and their effect on the various factors which will directly impact the business decisions of the company.

 Usage of big data and AI in these correlations and statistical formulations will help to save much time with the more accurate and higher number of correlation numbers.This statistical and conceptual analysis of the different sets of data and their relation with each other regarding the whole health care and related industrial setup and infrastructure will be very helpful for finding out the areas where the work needs to be done through various decisions to provide low-cost health and related infrastructural services by the company to the consumers. This information will help the company to identify and make the better selection of the company for acquisition which can provide better healthcare and related services to the consumers at affordable costs as a reduction in costs can be possible by better integration of all these services and products which will depend on the accuracy of information.

Reports of American hospital association which collects proprietary information in the hospital and healthcare system data with a wide span of the sample population. This data captures the hospital demographics and characteristics, the organization of the hospital, the needs which arise during hospitalization, and the available services. This database also captures staffing needs, leadership, and other variables which are required in the future for infrastructure. The “Behavioral risk factor surveillance" reports are the largest national healthy survey reports for collecting data regarding the health risk behavior due to changing habits and lifestyle systems of the people (Russo, 2015). This will greatly help the company in assuming the coming disease's particular infrastructure and services needs for the future. For example, the risks of increasing heart disease due to increased lifestyle changes may inspire the company to acquire a heart transplant equipment company or branch of a company.It is hoped that the result of this study will provide a sharper way out in regarding to research development in Pathology by using artificial intelligence and to reach a agreement which will inform the development of a national questionnaire survey which will explore these issues in greater depth.

 


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