Optimizing and Modeling in Healthcare Management

Running head: OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
Optimizing and modeling in healthcare management
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OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
Executive Summary
The foremost determination of the paper is to focus on the optimizing the modelling techniques
used in the healthcare management. The paper will focus on the real-life applications of
optimizing and modelling in healthcare management. The paper will analyze the importance of
optimizing and modelling in healthcare management. All the learnings from the paper will be
listed in the conclusive unit of the paper. The business management model which will be selected
in this paper is Total Quality Management (TQM). Real world application of optimization will
be provided in terms of the application of big data analysis which is used to store to store and
manage both structured and unstructured data across most of the global healthcare organization.

OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
Table of Contents
1 Introduction...................................................................................................................................4
2 Need for optimization...................................................................................................................4
2.1 Data Optimization..................................................................................................................5
2.2 Analysing the use of big data in healthcare management......................................................7
3 Modelling in healthcare management...........................................................................................8
3.1 Role of TQM considering different factors...........................................................................9
3.2 Effectiveness of Modelling..................................................................................................10
4 Important aspects of healthcare management.............................................................................11
5 Conclusion..................................................................................................................................12
Reference.......................................................................................................................................14

OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
1 Introduction
Healthcare management is the prime focus of this paper, it can be defined as the type of
management which is required in a healthcare organization considering their physical and the
non-physical assets of the organization. Healthcare management is very much required for all the
healthcare industry to deal with the important aspect of the business such as the networking
system, public health systems and medical facilities (Joshi et al. 2014). Utilization of the
available resources is another significant business perspective of healthcare management.
Efficient recruitment process is very much important for maintaining healthcare management.
The role of healthcare managers is very much important for managing the different departments
of healthcare management. Decision making is a very important business perspective of the
healthcare management considering different departments such as the marketing team, finance
team, policy analyzing team and the accounting team (Shirley 2016). The foremost determination
of this paper is to focus on the importance of the modelling and optimization performance of
healthcare operations. Like every business organization, the healthcare industry faces adverse
business conditions which can be solved effectively with the help of modelling and optimization.
2 Need for optimization
This segment of the paper will be focusing on the need for optimization in healthcare
management. Like every business organization, hospital industry also has numerous data sources
which are managed with the help of big data as it helps in enhancing the transparency of the
business processes. Transparency is very much important for the healthcare industry as it can be
required in any hour of the day (Cervero-Liceras, McKee and Legido-Quigley 2015). There are
complexities in finding specialist doctors in case of the emergency situations. Big data analytics