Optimizing and Modeling in Healthcare Management: A Project Report

This project delves into the critical aspects of healthcare management, focusing on the application of optimization and modeling techniques to enhance operational efficiency and decision-making. The paper begins by highlighting the importance of healthcare management, emphasizing its role in managing resources, decision-making, and various departments within healthcare organizations. The project then explores the need for optimization, particularly in the context of data management, including the use of big data analytics to handle large volumes of structured and unstructured data. It examines the practical applications of big data in healthcare, such as preventing medication errors and addressing administrative challenges. The project further investigates the role of modeling in healthcare management, with a specific focus on the Total Quality Management (TQM) model. The paper analyzes TQM's impact on stakeholder performance, customer satisfaction, and flexibility, considering different factors. The project concludes by discussing the effectiveness of TQM and the importance of optimization and modeling in achieving successful healthcare management outcomes. The project includes an executive summary, table of contents, and a detailed analysis of real-world applications of optimization and modeling techniques. The project also includes a figure representing the application of big data in the healthcare industry over the years 2015-2018 and a table illustrating the role of TQM considering different factors.

Running head: OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
Optimizing and modeling in healthcare management
Name of the Student
Name of the University
Author Note:

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

OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
is a huge aspect which is used practically in all the healthcare industry for managing the large
volumes of data which is daily maintained in the business environment such as the community
data, self-quantification data and public and private data (Ahmadi-Javid, Jalali and Klassen
2017). Public data are generally obtained from the local communities and the governmental
organization, private data comes from private organizations such as the non-profit organizations
which are connected to the hospital. The private data may include the supply chain of the
organization which provides the raw materials required in the hospital such as the advanced
technologies and machineries associated with the hospital.
2.1 Data Optimization
The importance of optimization in healthcare management will be discussed in this
section of the paper. The transactions of the consumers also fall in the category of the private
data, the data associated with the physical assets of the organization, data obtained from the
website browsing of the internal stakeholders and the data obtained from the mobile devices
which are used dedicatedly for the business purposes are included in the private data of the
healthcare industry (Shrivastava, Shrivastava and Ramasamy 2017). The data having limited
value in the business environments such as the ambient data falls under the category of the
exhausted data. Community data includes different types of dynamic and unstructured data. The
data obtained from the consumers of the healthcare industry in the official portal of the industry
as well as in their social media sites are the community data. Quantifying the behaviour and
action of the stakeholders of the organization is included in the self-quantification data
(Cresswell, Bates and Sheikh 2016). All these different categories of data exist in the healthcare
industry which are effectively managed by the big data.

OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
Optimization techniques can be applied to each of the stakeholders associated with the
organization starting from the operation level to the designing of the healthcare policies (Loo,
Mauri and Ortiz 2016). The other different departments which may fall under the category of
optimization are as followings:
o Operation room scheduling
o Capacity Planning
o Workforce scheduling
o Healthcare facility location
o Organ transplantation rooms
o Screening of the disease
o Vaccine designing
Most of the healthcare organization have different types of stakeholders associated with
them and there are conflicts due to their common or shared organizational goals but the
optimization techniques are very much important for the resolving those issues (Hejazi, Badri
and Yang 2018.). Different types contracts are there between the stakeholders of the hospital
industry such as the Service Level Agreements (SLA) which are needed to be managed
considering the privacy of the data. Web services and the connectivity issues of the hospital can
be identified with the organization can also be understood with the help of the big data. Data
sharing agreements is need for the protection of the different types of data. Confidentiality,
Integrity and availability of the data are very much important considering the healthcare
management which is the need for the incorporation of big data analytics in this industry. All the

OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
stakeholders associated with the data of hospital industry can be effectively managed and edited
with the use of the big data analytics.
The latest digital data sources such as the mobile calls of the patients, conversation
between the stakeholders and choice of the consumers of the organization in terms of specialists
doctors is better handled with the help of the data mining process. The developmental efforts of
the hospital organization are carefully managed with the application of the data mining
techniques. The traffic patterns and the vulnerabilities associated with the diseases is one of the
most important usefulness of the big data (Mahfoud, Abdellah and El Biyaali 2018). The
different types of challenges associated with the hospital sector can also be managed with the
help of the big data.
2.2 Analysing the use of big data in healthcare management
The prime determination of this unit of the paper is to focus on the use of big data in
healthcare management. The application of the big data is very much important for the
optimizing the data associated with the healthcare industry as it is very important to store and
manage those data for the growth and progress of the industry. The application of the big data
very much useful to prevents the medication errors in the hospital industry which is a major
concern. The differentiation between the low-risk patients and the high-risk patients is
sometimes a huge concern for the management team of the healthcare industry (Raghupathi and
Raghupathi 2014). There are different types of added costs and overhead costs associated with
complicated treatments which is a problem for the management team as the families of the
patients raises huge issues in the middle of the treatment, these administrative issues can be
solved purposefully with the help of big data. Waiting time is the other concern for the
management team of the hospital industry. The extensive developments in the field of science

OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
and technology have led to the growth of new cybersecurity issues for the healthcare industry
such as the ransomware, this kinds of securities issues can be easily detected if the organization
have a tightened security system considering the big data. These kinds of security breaches are
very important business perspective of the management team of the healthcare industry
(Dimitrov 2016). These fraudulent activities can be prevented with the use of big data. The
internal security issues of the healthcare industry can be significantly reduced with the help of
big data analytics. Optimization of the conventional patient engagement strategies should be
replaced by the latest big data enabled systems as it is very much useful to improve the
connection between the hospital authorities and the family of the patient (Van Schoten et al.
2016). Thus it can be said that the use of big data is very much useful to manage these
administrative aspects of this industry.
Figure 1: Example of real-world application of optimization
2015 2016 2017 2018
Application of Bigdata in healthcare industry
over the years
Bigdata Other technologies

OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
(Source: Created by the author)
3 Modelling in healthcare management
The prime focus of this unit of the paper is to focus on the impact of modelling in
healthcare management, the importance of models will be discussed in the paper. Business
management models are very much important in the healthcare management; conceptual
frameworks are increasingly used in the management purposes in the healthcare industry in order
to resolve the complexities associated with the industry (Zhang et al. 2017). The needs and
requirements of the consumers of this industry are changing with time which is the main reason
behind the discarding of the conventional business models. Quality of products and services can
be improved significantly with the use of new business models. The most important modelling
tool used in most of the management unit of the healthcare is Total Quality Management (TQM).
TQM has helped the healthcare industries to improve the performance of the stakeholders. Both
the clinical staffs and the non-clinical staffs can be managed in an effective way with the help of
TQM. Collaboration and team effort is required in every aspect of healthcare management
which is one of the positive impact of this business model in healthcare industries. TQM is
hugely beneficial to improve the customer satisfaction of the consumers who are the prime
stakeholders of this business (Ahmad et al. 2017). Flexibility is a key prospect for maintaining
the business in the healthcare industry is the other significant specification of TQM. Change in
the administration process is a very critical stage in the health industry as the changes may or
may not be suitable to the business environments as well from the business perspective, TQM
plays a huge role in these kinds of circumstances. The following table will be guiding us to
understand the role of TQM during the transitional phase in healthcare management.

OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
3.1 Role of TQM considering different factors
Factors Management Paradigm Role of TQM
Communication between the
stakeholders of the
organization
Autocratic management Improves the participation of
each employee associated
with the organization.
Resistance to change Limited managerial role Holding effective meeting
sessions with the concerned
employees.
Change in job design Industrial engineering
methods
Improves decision making
ability and problem solving
skills.
Performance evaluation Concerned focused Improves the focus on the
teams.
Performance comparisons Each healthcare industry has
their unique methods to
compare the performance of
their organization with the
other organizations
considering the new changes.
Benchmarking is the most
important role of TQM
considering the performance
comparisons.
Table 1: Role of TQM considering different factors
(Source: Created by the author)
3.2 Effectiveness of Modelling
This unit of the paper will be focusing on the effectiveness of the use of a specific
business management model which is Total Quality Management (TQM). TQM is one of the
most widely accepted business models used in the healthcare management as it helps in
improving the relationship with the consumers of the healthcare management, quality of patient
care, lowering the costs of the advanced systems used in this industry (Nicolaou and Kentas
2017). Sometimes it is feared that the business models will be focusing only on the profits and
efficient of the resources of the organization more than human values such as participation in the
annual events, but TQM is a very important business model which looks after both the efficiency
of the resources as well as the human values of the employees (Mosadeghrad and Ferlie 2015).
The effectiveness of the business management models such as the TQM can be improved

OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
significantly with the help of effective training sessions by expert professionals who have years
of experience working with different types of business management models as they know the
insight out of the effectiveness of those models. Their knowledge can be hugely capitalized in a
massive way for the growth and progress of the healthcare industry. The complexities of the
healthcare organizations can be solved effectively with the use of the business management
models (Al Ghamdi et al. 2016). The cost of the different modules of the healthcare management
and quality of services provided by the health organizations can be significantly impacted by the
application of Total Quality Management.
4 Important aspects of healthcare management
Decision making is one of the key aspect of modelling and optimization in the healthcare
industry. There are lots of challenges associated with the healthcare industry such as the
customer service department, which can be effectively solved with the help of optimization.
Complexities in the challenges is a very important aspect of healthcare management, as the level
of complexities may keep on changing with time (Ross 2017). The different internal and external
stakeholders associated with healthcare management is hugely benefitted with the use of
modelling and optimizing. The modelling and optimization is very much important to meet the
demands of the patient as well as the internal stakeholders of the organization (Mohammad
2014). Optimization of specific segments in healthcare management is very much important as
constant changes are necessary for this industry. The business process around healthcare
management such as the cost control of the infrastructure and maintenance costs needs efficient
modelling techniques to be managed (Mosadeghrad 2015). The variations in healthcare
management should be managed in a professional way so that the desired results are obtained.
Most of the healthcare industry is linked with numerous external stakeholders such as the

OPTIMIZING AND MODELING IN HEALTHCARE MANAGEMENT
distributors, private clinics, marketing team; these stakeholders are needed to be administered in
a useful way so that the growth and progress of the organization is maintained. Capacity
planning decisions are one of the other essential aspects of healthcare management.
5 Conclusion
The paper helps in concluding the impact of the modelling based healthcare management
as it helps in improving the business decision of the healthcare organizations. Efficient allocation
of the resources is very much important for the healthcare organization which is done with the
help of optimizing the existing business processes. The reduction in the waiting time for the
patients is considered to be the parameter for the progress of healthcare management. Queueing,
simulation, scheduling are the three prime aspects of the healthcare industry which are needed to
be considered for optimization. The business models which are applied in the healthcare should
be properly evaluated before being incorporated into the working environment of healthcare
industries so that the desired results are obtained as there may be some issues associated with the
business models which can negatively impact the organization. The business model which is
focused in this paper is the TQM which is the Total Quality Management. Different aspects of
these tools were identified in this paper. The paper was helpful to understand the impact of this
business model in the healthcare industry. This paper provides the role of the TQM considering
different factors in a tabular form. The need for optimization can also be understood from the
paper as like most of the organization, healthcare industry needs certain optimization techniques
to meet the ever-changing needs and requirements of the consumers who are their primary
stakeholders. The different complexities in healthcare management are identified with the help of