MGT5STR Strategic Management Planning Oz Assignments

MGT5STR Strategic Management Planning Oz Assignments

MGT5STR Strategic Management Planning Oz Assignments

Introduction

Strategic intelligence contains analysing, collection, processing and circulation of intelligence which is required for forming the policy in the healthcare system. The required information for strategic intelligence comes from open source intelligence. This system helps to improve the patient care, population health and reduce the cost. Now the strategic intelligence focuses on the outcomes of the strategic decisions made by organisations. In this report, the department of health in Australia authorised by the Australian Government has chosen. It provides affordable and universal access to high quality medical, hospital and pharmaceutical services. The motto of the organisation is to help the people to stay healthy through organising the diseases prevention business activities and health promotion. However, this particular department is dealing with some potential strategic weaknesses which must be improved for the betterment of healthcare policy.

Identify the strategicissuefaced by the organisation

The department of health in Australia currently is facing some issues due to lack of big data management, weak budgetary, and inability in making effective decision and planning. They also face a problem in implementing a suitable national health policy.

Big data management issue

In this modern era, organisations manage a vast quantity of information or big data and analyse them with the help of specific technology. Kuosa (2016) stated that in the healthcare system, it is required to manage vast among of data as this helps to make national policy. However, due to the lack of a specific strategy, the department of health is being unable to manage these data. This results in a lack of ability in making effective decisions. As the department of health in Australia has a vast quantity of data, integration of these data sources requires a new developing infrastructure. Another obstacle that the concerned organisation is dealing with due to the lack of ability in managing big data is less patient engagement and no real time alerting (Calof, Richards, & Smith 2015).

Weak budgetary

In order to provide the best health care services through effective health policies, proper budget planning is required as it improves the health care provision and implementation of the medical infrastructure. The department of health in Australia has taken excessive time for implementing a policy or completing any project, which is not estimated at the of project planning. This takes more financial resources and weakens the entire budgetary system. The department heads blame the other departments for the outcomes which develop internal chaos and obstruct its overall operations. According to Sangari & Razmi (2015) due to lack of proper budget planning the department of health in Australia allocates overhead costs in their projects. As a result, the managers of those departments face issue with the used allocation method. Weak budgetary also occur due to lack of strategic rigidity of the organisation (The Department of Health 2018).

Effective decision and planning

The department of health in Australia aims to provide the best possible care and treatment to the patients by maintaining national health standards. According to Larson & Chang (2016) In the treatment procedure, efficiency and effectiveness are very necessary which requires a proper and careful planning as well as decision-making ability among the senior management team. The department of health in Australia has faced some difficulties in making the decision and planning. In order to gain the expected outcome of the policy and projects, a strategic planning is required. Due to the inability in making an effective decision, the healthcare providers face some difficulties in understanding the need of the service users as demand for health facilities. Calof, Richards, & Smith, (2015) stated that not only in the financial but also for effective patient care, decision and planning are required. The policy of mental health and medicare benefit scheme have been implemented by the Department of Health in Australia, however, these policies have failed to achieve its expected outcome due to lack of strategic decision making. These policies have involves improper target audience and involvement of departmental fraud.

National health policy

Australian healthcare system compared to other similar systems has some issues in development as well as implementation of healthcare policy. The department of health in Australia is currently facing an issue regarding the code of conduct for doctors proposed by the Medical Board of Australia. As per this board members, the health practitioners need to deliver the right care at the right time in the right place, however, there is less number of healthcare professionals. The national health policy also includes the two tire medicare rebate system applicable to psychological therapy only which lacks practical implications. Cosmetic testing on animals is banned as the test is very expensive and time-consuming. Thus, this determines that the department of health requires more strategic planning for implementing national health policy.

Addressing the situation by the senior management

Role of senior management in managing big data problem

Data management plays a pivotal role in solving the problems related to big data. Lee (2018) asserted that without the data management some data may be misplaced or deleted by mistake. Even, data can be misused by the other persons. At first, the senior management needs to outline or prioritise the data so that data can be arranged as per the requirements. According to Fleisher & Bensoussan (2015), the senior manager of the department of health must use strategic intelligence for analyzing the root cause of the data management issue.

Role of senior management in making proper planning to avoid weak budgetary

In order to create a proper budget plan at first, the senior management needs to identify the goals of the project and estimate the budget as per activity. One of the most important tasks of the senior manager in department of health in Australia is to maintain a cost-based timeline. Mansoa (2015) stated that the managerial activities also includes the visioning the target audience, building a strong and accountable team, maintain the credibility, developing an integrated and high-quality plan. The activities also include skilful management of the fundamental requirements and executing the plan.

Role of senior management in making an effective decision and planning

In order to provide the best service to the patient, the role of the hospital manager is very vital as they develop for delivery of the services. Wang, Kung & Byrd (2018) asserted that hospital management looks after the quality of care, patient safety, all the staff's activity. The senior management needs to build proper interpersonal communication in the hospital and needs to clear everyone's vision and role in the department of health in Australia. In order to provide the best service to the patient, the role of each employee needs to have clear objectives.

Role of senior management in implementing the policy

In order to implement the policy, the senior management needs to focus on advocacy, mechanism and legislation for health financing. Levine, Bernard & Nagel (2017) asserted that they need to organize a planning process to integrate the NCD plans. This planning helps to detect the risk in the people’s treatment and also helps to develop the health financial policies. This plan also provides training for the health workers. According to Brooks, El-Gayar & Sarnikar (2015), the NCD surveillance monitors the outcomes, the risk factors and the health system capacity. The senior management should develop multi-sector planning and should establish a multi-sectoral partnership. They also can take capacity development strategy to implement the strategy. The senior management needs to conduct a high-level meeting to inform about the implementation of the policy.

Analyse the analytical tools

Activity-based costing

Activity-based costing is one of the accounting methods that identifies and estimates cost for each activity. Wang, Kung, Wang & Cegielski (2018) stated that all the cost cannot be assigned to this method. This tool is based on activities with specific goals and it also enhances the reliability of cost data. This method improves the costing process by expanding the number of cost pools. This method identifies the base of the overhead cost and finally changes all the indirect costs such as inspection, depreciation. This system transfers the cost from high volume products to low volume products. Kimble & Milolidakis (2015) asserted that as ABC system focuses on the relationship between overhead activities, cost and manufactured products so it is applicable for large sector.

Strategic Intelligence

Strategic intelligence tools help to identify relevant data, consider the internal and external environments factor and take decision based on analyses. Wong, Ho & Tsui (2017) asserted that in order to wellbeing of the patient and collaborators, the senior management needs strategic intelligence.

Figure 1: Strategic Intelligence
(Source:Larson & Chang 2016)

This tool includes visioning, engaging and motivating the employees. Strategic intelligence helps to understand each and everyone's personality but it does not focus on individuals’ target.

Fishbone

The fishbone diagram recognises many possible cases for an effective problem. It is a visualization tool for identifying the potential causes of a problem. Fleisher & Bensoussan (2015) stated that the left side of the fishbone structure refers to causes. The cause is divided into several parts. The right side of the diagram refers to the effect. In order to create the fishbone diagram at the first the problem statement need to define.

Figure 2: Fishbone
(Source:Kuosa, 2016)

After the defining the problem statement the major causes need to categorise. For the manufacturing environment, the categories are materials, method, people, and machine. For the service organisation, the categories are procedure, plant, people and policies. According to Jayakrishnan, Mohamad & Yusof (2018) asserted that the types of causes need to determine then. Brainstorm of the causes and the deeper causes is then analysed. The final step is to identify the root cause. Thus fishbone is an excellent approach to identify the cause and solve the problem.

The role of an analyst or strategist

The role of a strategic analyst is to identify the needs of the organisation and develop a plan to achieve the goal of the organisation. According to Kohtamäki & Farmer (2017), they are responsible for hiring the employee, analysing the data, securing the resources and information, managing the entire schedule, implementing effective software. A strategic analyst should have management and organisational skills.

Defining scope

In the Department of Health in Australia, the Strategic analyst should review all the policy to define the scope. It is needed to identify the boundaries of the scope. Rajnoha, Štefko, Merková & Dobrovi? (2016) asserted that by using the strategic intelligence the strategic analyst needs to organise the goal. The goals need to smart and measurable.

Role of strategic analyst in big data

In the Department of Health, Big data analyst is responsible for collecting, cleaning, converting and analysing the data to solve problem. Zadeh & Tehrani (2015) pointed out that all the data can be presented in graph, table, charts and developing relational database for collecting data. The analyst makes recommendation and conducts research on data mining products, services and protocols. They monitor all the performance of the data mining system and solve the problem in the system. In order to help in decision making the analyst prepares the data report and data visualisations. Vom Brocke et al. (2014) pointed out that the data analyst works with Data scientist to achieve the organisational goals and develop the new analytical tools and method. They also create data definition in big data.

Role of strategic analyst in planning and decision making

The role of a planning analyst is to improve the entire efficiency of the organisation. Al-Zu’bi (2016) stated that they manage the profit of an organisation by reducing the cost and increasing the risk awareness, revenues and readiness. The analyst of the Department of Health improves major decision by analysing workflow, organisational structure, goals and resources. They have a lot of responsibilities which includes determining the strategic objectives and develop a long-term goal, identify the risk factors. The risk analysis can be performed by recognising the potential failure and solve the strategies.

Role of strategic analyst in implementing the policy

In order to implement the policy, the strategic analyst of the Department of Health Care in Australia needs to concern regulatory. According to Möller & Parvinen (2015), it ensures that the organisation’s standard follows all the local, federal and state laws. These documents include public health care, public utility and the federal government. Next is advisory which refers that all the staff of the organisation is following common rules with certain action and behaviour. Piperopoulos (2016) stated that if anyone violates the policy then the management will take necessary step against him. The strategic analyst also needs to make an informative policy. By this, the management will inform all the staffs.

Conclusion

In this report, the impact and issues of strategic intelligence in The Department of Health in Australia have described. Recently the department of health in Australia is facing some issues due to weak budgetary, lack of big data management, inability in making effective decision and planning. They also face a problem in implementing a health policy for the hospital. Due to the lack of specific strategy, the department of health is being unable to control these data. Due to poor planning in making the budget, the organisation has weak budgetary problem which prohibits the organization to provide the best treatment to the patient. The role of the senior to mitigate the problem is also described. In order to solve the issues, various analytical tools are analysed such as action based costing, strategic intelligence and fishbone. The role of the strategic analyst is also narrated to resolve the problem of big data handling, making effective plan and implementing the policy.

Recommendation

Collaborate with IT

The Department of Health in Australia can collaborate with IBM data management in solving the big data problem. It will help the company to handle multiple workloads by reducing administration, storage, development and server costs. IBM data management platform provides a high performance by lowering infrastructure costs. They also use DELL EMC platform to handle big data.

Budget planning and implementing the policy

By analysing strategic intelligence, The Department of Health in Australia should define the activities and according to that activity, the higher authority can analyse the cost. As an example for the long-term health plan, the investment is following -

Health, spot, aged care

$12.4b

New medicine

$2.4 b

Hospital agreement with state

$30.2b

Mental health

$338.1m

Table 1: Sample budgetary plan

The Department of Health in Australia can improve the policy in indigenous health, better quality and access to care. The policy can be implemented by focusing the job creating and life-saving medical research.

Effective decision-making software

As per strategic intelligence cycle, The Department of Health in Australia can use clinical decision support system for making effective decision and planning. This application helps the health care provider to analyse the data and improve the patient care. CDSS provides clinical advice on patient-related data based on multiple factors.

References

1. Al-Zu’bi, H. A. (2016). Aspects of Strategic Intelligence and its Role in Achieving Organizational Agility: An Empirical Investigation. International Journal of Academic Research in Business and Social Sciences6(4), 233-241. Retrieved from < http://hrmars.com/hrmars_papers/Aspects_of_Strategic_Intelligence_and_its_Role_in_Achieving_Organizational_Agility_An_Empirical_Investigation.pdf >
2. Brooks, P., El-Gayar, O., & Sarnikar, S. (2015). A framework for developing a domain specific business intelligence maturity model: Application to healthcare. International Journal of Information Management35(3), 337-345. Retrieved from < https://www.sciencedirect.com/science/article/pii/S0268401215000122 >
3. Calof, J., Richards, G., & Smith, J. (2015). Foresight, competitive intelligence and business analytics—tools for making industrial programmes more efficient. ???????9(1 (eng)). Retrieved from < https://cyberleninka.ru/article/n/foresight-competitive-intelligence-and-business-analytics-tools-for-making-industrial-programmes-more-efficient >
4. Fleisher, C. S., & Bensoussan, B. E. (2015). Business and competitive analysis: effective application of new and classic methods. FT Press. Retrieved from < https://s3.amazonaws.com/academia.edu.documents/30356361/bca_overview.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1538372988&Signature=ByCCd2NYN6hsNEA%2ByOr9CssQ0HE%3D&response-content-disposition=inline%3B%20filename%3DBusiness_and_competitive_analysis_effect.pdf>
5. Fleisher, C. S., & Bensoussan, B. E. (2015). Business and competitive analysis: effective application of new and classic methods. FT Press. Retrieved from < https://s3.amazonaws.com/academia.edu.documents/30356361/bca_overview.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1538375271&Signature=8u4wr9q9L4eLrJ7mzxVq60iCFqI%3D&response-content-disposition=inline%3B%20filename%3DBusiness_and_competitive_analysis_effect.pdf >
6. Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2018). Assimilation of Business Intelligence (BI) and Big Data Analytics (BDA) Towards Establishing Organizational Strategic Performance Management Diagnostics Framework: A Case Study. Journal of Digital Information Management16(1). Retrieved from < https://www.researchgate.net/profile/Mailasan_Jayakrishnan/publication/322821299_Assimilation_of_Business_Intelligence_BI_and_Big_Data_Analytics_BDA_To-wards_Establishing_Organizational_Strategic_Performance_Management_Di-agnostics_Framework_A_Case_Study/links/5a719d65458515015e64a8be/Assimilation-of-Business-Intelligence-BI-and-Big-Data-Analytics-BDA-To-wards-Establishing-Organizational-Strategic-Performance-Management-Di-agnostics-Framework-A-Case-Study.pdf>
7. Kimble, C., & Milolidakis, G. (2015). Big data and business intelligence: Debunking the myths. Global Business and Organizational Excellence35(1), 23-34. Retrieved from < https://arxiv.org/ftp/arxiv/papers/1511/1511.03085.pdf >
8. Kohtamäki, M., & Farmer, D. (2017). Real-time Strategy and Business Intelligence. Retrieved from <https://www.researchgate.net/profile/Khuram_Shahzad8/publication/318222889_Supply_Chain_Intelligence/links/5a54df020f7e9be238b5707f/Supply-Chain-Intelligence.pdf>
9. Kuosa, T. (2016). The evolution of strategic foresight: navigating public policy making. Routledge. Retrieved from<https://www.taylorfrancis.com/books/e/9781317032502>
10. Larson, D., & Chang, V. (2016). A review and future direction of agile, business intelligence, analytics and data science. International Journal of Information Management36(5), 700-710. Retrieved from < http://daneshyari.com/article/preview/1025527.pdf>
11. Lee, S. Y. (2018, March). Architecture for Business Intelligence in the Healthcare Sector. In IOP Conference Series: Materials Science and Engineering (Vol. 317, No. 1, p. 012033). IOP Publishing. Retrieved from < http://iopscience.iop.org/article/10.1088/1757-899X/317/1/012033/pdf >
12. Levine, S. S., Bernard, M., & Nagel, R. (2017). Strategic intelligence: The cognitive capability to anticipate competitor behavior. Strategic Management Journal38(12), 2390-2423. Retrieved from < https://onlinelibrary.wiley.com/doi/pdf/10.1002/smj.2660>
13. Mansoa, F., Sánchez, A., Villalba, E., Peinado, I., Mañas, L. R., & Abadie, F. (2015). Strategic Intelligence Monitor on Personal Health Systems Phase 3. International Journal, 23(1), 89-103. (SIMPHS3). Retrieved from < https://core.ac.uk/download/pdf/38630823.pdf >
14. Möller, K., & Parvinen, P. (2015). An impact-oriented implementation approach in business marketing research: Introduction to the Special Issue on “Implementing Strategies and Theories of B2B Marketing and Sales Management”. Industrial Marketing Management45, 3-11. Retrieved from < https://s3.amazonaws.com/academia.edu.documents/42747780/IMM-2015-Moller-Parvinen.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1538373470&Signature=%2B4Y9xn29lomiJ5%2F7yjzKb9Pdgho%3D&response-content-disposition=inline%3B%20filename%3DAn_impact-oriented_implementation_approa.pdf >
15. Piperopoulos, P. G. (2016). Entrepreneurship, innovation and business clusters. Routledge. Retrieved from < https://www.researchgate.net/profile/Panagiotis_Piperopoulos/publication/268806001_Entrepreneurship_Innovation_and_Business_Clusters/links/548697eb0cf289302e2c0de2/Entrepreneurship-Innovation-and-Business-Clusters.pdf >
16. Rajnoha, R., Štefko, R., Merková, M., & Dobrovi?, J. (2016). Business intelligence as a key information and knowledge tool for strategic business performance management. Economics and management. Retrieved from < https://dspace.tul.cz/bitstream/handle/15240/13614/EM_1_2016_13.pdf?sequence=1&isAllowed=y >
17. Sangari, M. S., & Razmi, J. (2015). Business intelligence competence, agile capabilities, and agile performance in supply chain: An empirical study. The International Journal of Logistics Management26(2), 356-380. Retrieved from < https://www.researchgate.net/profile/Mohamad_Sadegh_Sangari/publication/280970711_Business_intelligence_competence_agile_capabilities_and_agile_performance_in_supply_chain_An_empirical_study/links/570ea3f608aecd31ec9a838e.pdf >
18. The Department of Health, For Heath professionals, Retrieved from <http://www.health.gov.au/ > on 16/9/18
19. Vom Brocke, J., Schmiedel, T., Recker, J., Trkman, P., Mertens, W., & Viaene, S. (2014). Ten principles of good business process management. Business process management journal20(4), 530-548. Retrieved from < https://eprints.qut.edu.au/72965/1/finalManuscript.pdf >
20. Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change126, 3-13. Retrieved from <https://www.sciencedirect.com/science/article/pii/S0040162516000500>
21. Wang, Y., Kung, L., Wang, W. Y. C., & Cegielski, C. G. (2018). An integrated big data analytics-enabled transformation model: Application to health care. Information technology & Management55(1), 64-79. Retrieved from <https://www.ehidc.org/sites/default/files/resources/files/integrated%20big%20data%20analytics-enabled%20transformation%20model.pdf >
22. Wong, B., Ho, G. T., & Tsui, E. (2017). Development of an intelligent e-healthcare system for the domestic care industry. Industrial Management & Data Systems117(7), 1426-1445. . Retrieved from <http://www.bohacik.com/research/documents/Web%20of%20Science%20-%20Development%20of%20an%20intelligent%20e-healthcare%20system%20for%20the%20domestic%20care%20industry.pdf >
23. Zadeh, D. H., & Tehrani, V. K. (2015). Surveying the Influence of Competitive Intelligence on Business Performance (Evidence from Iran). Jurnal UMP Social Sciences and Technology Management Vol3(1). Retrieved from < http://jsstm-ump.org/2015%20Volume%203,%20Issue%201/676-681.pdf >