ICT616: Data Resource Management Case Study Analysis, Semester 1

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Case Study
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This case study examines data resource management within the context of a pediatric medical center in Elk County, Maine, which received a federal grant. The assignment explores enterprise information needs, including family and patient data, billing information, and medical records. It details the development and application of enterprise data models, emphasizing their logical and physical components within the healthcare setting. The study also covers special features of the center, government regulations, Australian healthcare legislation, business concerns, and legitimate needs related to healthcare, such as patient rights and social needs. References are provided to support the analysis of data resource management principles and their practical application in a healthcare environment.
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Running head: DATA RESOURCE MANAGEMENT
Data Resource Management
Name of the student:
Name of the university;
Author note:
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1DATA RESOURCE MANAGEMENT
1. Understanding Enterprise Information needs:
Enterprise Information management is one of the strategic disciplines in business that
combines the use of many principle keys of the enterprise, formalizing the activities
associated with the storage of data, accessing them and handling them (Eroğlu &
Çakmak, 2016). It is a set of disciplines along with technologies with best practices in
order to manage the assets of an enterprise across departments, business units, facilities
and geographical locations. An enterprise information system helps in accessing the
information in a secured way. In healthcare centers enterprise information plays a vital
role and thus an enterprise information system allows the healthcare professionals to use
the data in real time situation for decision making purpose. It also helps in focusing to
people, policies, process, frameworks and technologies in order to leverage the enterprise
data at its best. The enterprise data that are collected at the Pediatric Medical Center at
Elkhorn, includes data related to the family information of the children who are registered
with the pediatric center. It also keeps record of the name of the member who is
responsible for all the financial related queries, their phone numbers and also the name of
the insurance carriers. All this information will be necessary for the enterprise in order to
process with their medical assistance (Yang et al., 2015). Besides this information, the
healthcare center also keeps record of the patients who are registered with them. The data
of the patients will help the doctors in knowing the name of the patients and their medical
records and thus knowing this the doctors can proceed with their medical assistance.
Other enterprise information that are related to the pediatric center includes the services
that are performed in the medical center such as the billing system containing information
about the services that are offered to the patients, the diagnostic codes, history of each
patients and many more (Da Xu, 2014). Thus, it can be said that enterprise information
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plays a vital role in processing the activities in an organisation by taking into account of
the data that are gathered from the information systems.
Developing and maintaining enterprise data model:
Enterprise models are created not only to reflect the needs of a business application
but it also depicts the enterprise information needs of an entire organisation (Cupoli, Earley
& Henderson, 2014). An enterprise data model comprises of one or more area of modules
that are used in the documentation process of the data in an organisation which serves as the
planning and integration of the information management system of the organisation (Starren,
Winter & Lloyd‐Jones, 2015). The process of developing an enterprise data model is an
iterative one. During its development there are functions that are performed more than once
every time when new information is gathered and every time new applications are modelled.
Enterprise data modelling does not require detailed data modelling during its development.
During its data processing activity, models that pertain to subject area are reviewed and
revised in order to reflect to the view if the enterprise. Overall, development of enterprise
data model requires commitment from the senior management of the organisation to the staffs
who are adhering to the modelling principles.
Application of the components of enterprise data model in the health care center:
An enterprise data model consists of both logical and physical data models as its
main components. The logical data model consists of the relational database that are created
for the pediatric center and the physical data model consists of the number of computers or
the hardware or software that are required for the healthcare center (Brooks, El-Gayar &
Sarnikar, 2015). The Pediatric healthcare center consists of the enterprise data models which
has the base of strategic and high business information value in order to support the growth of
the organization. The enterprise data model of the health care center provides the backbone of
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3DATA RESOURCE MANAGEMENT
the entire organisation in supporting decisions, and maintain an analytical and information
environment.
2. Special features of the healthcare center:
The pediatric medical center that was granted by the federal government offers modest
pediatric medical facility along with providing medical education to the pediatrician. The
pediatrician who is working under that medical center needs to sign a contract in return of the
paid medical education for at least five years. Doctors who have just completed their medical
training can start with their course in this pediatric center. Besides this facility the pediatric
medical center also includes some specifications with its enterprise information system such
as it keeps record of the details of the patients as well as their families, medical history of
each patients and many more. The information of the organisation comprise of standard codes
of medical services that are performed within the organization and based on this service only
the fees for the doctors are accepted.
2a) Government regulation for health care center:
Regulation plays a very important role in healthcare centers and in covering the health
care insurances. The various healthcare regulatory bodies help in protecting the health risks
and helps in providing various healthcare programs. The different regulations of healthcare
protect the public health and their welfare. Healthcare regulations are developed by almost all
levels of government as well as by private health care organisations.
Australian Legislation related to health care:
The Australian Charter of Healthcare rights was developed by the commission in the
year 2007 and 2008 (Freeman et al., 2016). The legislation of Australia for healthcare
specifies key rights of consumers and patients receiving the healthcare services. In July 2008,
the ministry of Australian healthcare endorsed the law as the Australian Charter of Healthcare
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4DATA RESOURCE MANAGEMENT
Rights so that it can be used across the country. The Australian legislation for healthcare
provides guidance to the providers of the healthcare about the ways by which healthcare
organisation can ensure the rights that are upheld in the organisation (Beaupert et al., 2014).
The brochure of the law is a guide that outlines the way by which the healthcare organisation
can provide information about the rights of the health incorporating the charters in their
system.
2b) Business concerns related to health care:
The business concern of healthcare organisations includes financial matters, strategic
planning process and compliance with the legal regulations related to the healthcare
(Mossialos et al., 2015). Another business concern related to healthcare includes the relation
between patients with respect to the billing of the health services as provided and the
insurances related to the healthcare.
2c) Legitimate needs related to health care:
The main goal of healthcare systems is sharing responsiveness. In order to respond
successfully, the healthcare systems need to follow the legitimate needs of its constituents.
The legitimate needs of a healthcare system include the needs of the patients as well as the
social needs (Osborn et al., 2015). The patient needs includes quality care for every patients
by providing them with every health assistance, providing services based on scientific
knowledge, avoiding injuries to the patients from the health care services which are intended
to cure them, reducing harmful delays in treating the patients and providing equal care to the
patients irrespective of their genders, socio-economic status and geographical location. On
the other hand, the social needs that needs to be followed in a healthcare center includes
security of food, utilities, housing, domestic violence on patients causing health risk.
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References:
Beaupert, F., Carney, T., Chiarella, M., Satchell, C., Walton, M., Bennett, B., & Kelly, P.
(2014). Regulating healthcare complaints: a literature review. International journal of
health care quality assurance, 27(6), 505-518.
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 Management, 35(3), 337-345.
Cupoli, P., Earley, S., & Henderson, D. (2014). DAMA-DMBOK2 Framework. DAMA
International.
Da Xu, L. (2014). Enterprise integration and information architecture: a systems perspective
on industrial information integration. Auerbach Publications.
Eroğlu, Ş., & Çakmak, T. (2016). Enterprise Information Systems within the Context of
Information Security: A Risk Assessment for a Health Organization in
Turkey. Procedia Computer Science, 100, 979-986.
Freeman, T., Baum, F. E., Jolley, G. M., Lawless, A., Edwards, T., Javanparast, S., &
Ziersch, A. (2016). Service providers' views of community participation at six
Australian primary healthcare services: scope for empowerment and challenges to
implementation. The International journal of health planning and management, 31(1),
E1-E21.
Mossialos, E., Wenzl, M., Osborn, R., & Sarnak, D. (2016). 2015 international profiles of
health care systems. Canadian Agency for Drugs and Technologies in Health.
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Osborn, R., Moulds, D., Schneider, E. C., Doty, M. M., Squires, D., & Sarnak, D. O. (2015).
Primary care physicians in ten countries report challenges caring for patients with
complex health needs. Health Affairs, 34(12), 2104-2112.
Starren, J. B., Winter, A. Q., & Lloyd‐Jones, D. M. (2015). Enabling a learning health system
through a unified enterprise data warehouse: the experience of the Northwestern
University Clinical and Translational Sciences (NUCATS) Institute. Clinical and
translational science, 8(4), 269-271.
Yang, J. J., Li, J., Mulder, J., Wang, Y., Chen, S., Wu, H., ... & Pan, H. (2015). Emerging
information technologies for enhanced healthcare. Computers in industry, 69, 3-11.
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