Data Resource Management Report: Healthcare Data Management Analysis

This report delves into the critical aspects of data resource management within the healthcare sector, specifically focusing on the Pediatric Medical Center (PMC). It begins by emphasizing the importance of data management, including data governance, data integrity, and information architecture, to ensure efficient record-keeping and decision-making. The report highlights the significance of enterprise data models and the need for concerted efforts to maintain data order. The report then addresses the unique challenges of managing patient information, emphasizing confidentiality and compliance with relevant Australian laws, such as the Privacy Act 1988 and the Health Records and Information Privacy Act 2002. It provides recommendations for PMC, including purchasing off-the-shelf software and integrating multiple software solutions to meet functional requirements and improve competitive advantage. The report concludes with a review of relevant literature, offering a comprehensive overview of data resource management in healthcare.

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Data Resource Management
Student’s Name
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Managing of info/data is an important aspect in all organizations operation where it aids much in
record keeping used for feature retrieval. This contains policies and morals and the appropriate
data control measures that prime information management across and through the operation.
According to (Kasemsap, 2018 p 45) description of the supportive data architecture is also
established. The target state designates how the organization builds its business components,
processes, and the EIM curriculum will heighten decision-making occupations. A new target
position is reputable for each of the dimensions considered within the model. The goal is to
mend the maturity of the entire process in each of these scopes and ensure the accomplishment of
all initiatives for developing information.
Data governance is a data management component that concerns the capability that allows an
organization to guarantee that high data quality occurs throughout the complete lifecycle of the
information. Data resource management is a vital aspect where it embrace availability, data
integrity, reliability, data security and usability. It includes induction processes to ensure
efficient data management throughout the initiative such as liability for the adverse effects of
pitiable data quality and safeguarding that the data that the enterprise has tended application by
the whole organization. A data steward is a character that confirms that data governance
procedures are followed, strategies enforced and commends improvements to data ascendency
processes. Data governance ingenuities improve data superiority by assigning a team accountable
for data's accuracy, convenience, steadiness, and inclusiveness, among other facets. This team
typically consists of administrative leadership, project administration, line-of-business
executives, and data stewards. The squad usually hires some form of approach for tracking and
cultivating enterprise data, such as Six Sigma, and gears for data mapping, outlining cleansing,
and one-to-one care of the entire data (Jhingran 2006, p90).
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Information architecture.
Pediatric Medical Center should consider the component of information architecture as a vital
aspect in managing their data/information. The center should denote that logical data model is a
graphical symbol of the business information necessities for software presentation. It designates
the things of reputation to an organization and how they narrate to one another, as well as
corporate definitions and samples. The logical information model tends validation and
sanctioned by a business evocative, and thus turning becoming a basis of physical database
strategy. Consistent data replicas, properly intentional, should be created on the structures
identified in the theoretical data model, ever since this defines the semantics of the business that
the logical prototypical should also replicate. Even so, as the logical data model antedates
application on a finite-capacity computer, some will adjust the structure to realize specific
efficacies (Valacich, & Schneider 2015, p98). In some organizations, there is a propensity of
using the term 'Logical Data Model' in meaning the sphere model, or as a substitute to the
domain classical. While the two notions are intimately connected and have overlying goals, a
domain model tends smearing much focus on capturing the perceptions in the problem domain
rather than the edifice of the data associated with that sphere.
Pediatric Medical Center executive should know that data is one of an establishment’s most
valuable resources. All existing and future business verdicts hinge on data. An enterprise data
model is an essential aspect for the management of data store. The core value of data
management is ordering and applying that order to the massive data universe. To manage data is
to smear order in the organization and according to the subsequent thermodynamics regulation,
the universe and the whole thing in it, continually pates toward chaos as it earns energy to bring
order. The identical holds correct for data left alone; it incessantly deteriorates to an aspect of the
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disorder. The center should realize that it requires concerted exertion to keep data according to
the directive and that the main aim of EDM in every business. The capability of exploiting
information and treating it as a commercial asset is arguably the important feature of the
successful contemporary establishment both at present and in the future.
An effective enterprise information administration strategy is the substance for meeting the
emerging contests of massive data. The modest advantage derived from precise and reliable data,
real-time commercial intelligence, progressive trend analysis, and prognostic modeling is in
reach of associations that squeeze information management as enterprise-massive accountability.
For any establishment, significant or trivial, the expedition from where presently are to a trusted
initiative information management podium sounds impossible. This need not be the event if one
starts with a properly distinct and executed enterprise data management evaluation (Wang et al.
2016).
QUESTION TWO
The medical industry is different from others in the aspect that information gathered concerned
patients should be considered confidential and never disclose to the public. An individual can sue
particular health facilities for disclosing his/her information to the public. Medical department
professions are keen in making sure that they preserve their client's information private.
Information concerning establishments is regularly spread out across abundant types of assets,
including parceled applications, catalogs, files, brochures, and messages. For EIM to convey
maximum outcomes, it must guarantee proper retrieval, application, handling, and management
of all data, in all sources and set-ups from across a complete enterprise (Rittinghouse & Ransome
2016, p87). That comprises both the regulated data that exist in databases and other consistent
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locations and the unstructured contented that exists in unrestricted forms, such as in electronic
pamphlets and files and the data captured through automatic messages and dealings.
Furthermore, all data must be readily available to all users whenever they require it whether on
an organized or recurring base, or in real time (Demšar, & Bosnić 2018)
Effective record keeping aids all medical practices. It progresses the efficient of the daily
operation of one’s practice; assists in keeping a record and maintain the patient information and
enables clear reporting. There are other reimbursements related to operative record keeping.
These comprise maintaining the safety of confidential clinical records, supporting staff to
perform their duties more effectively, enlightening staff retention, and heightened business
endurance. Having satisfactory administrative records may also support if one ever asked to
partake in an Australian Taxation audit, health supplier compliance audit or for official approval
purposes. It is important to appreciate that record observance obligations differ contingent on the
perseverance of the records. One also may not be aware that disregarding record maintenance
may upsurge the risk of receiving an unseemly Medicare payment or mean that he/she is not in a
position to provide adequate proof to substantiate entitlements (Wilkinson et al. 2016). In
Australia Record Keeping Guidelines (Administrative) have been premeditated to provide one
with helpful suggestions, overall information, and management to assist in implementing and
maintain adequate record preserving systems that are beneficial for the practice.
Below are rules explicit to Australia that relate to the collection, storing or application of medical
or records concerning healthcare.
The Privacy Act 1988
It is an Australian law asserting the concept of privacy. Segment 14 of the Act specifies the
number of confidentiality rights recognized as the Information Privacy Principles (IPPs). These
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philosophies rub on the government (Australian), and Australian Capital Terrain agencies or
reserved sector organizations contracted to these administrations, as well as to organizations and
small dealings providing a health service. The principles administer when and how individual
data can be collected by these management agencies where information only tend collection if it
is significant to the supports' functions. Upon this gathering, that law orders that Australians
have the right to tell why information about them is being attained and who will use that
particular information.
The Health Records Act 2001.
The action tends to create a framework to guard the privacy of persons' health information. It
controls the collection and management of health information. The Act further gives persons a
legally regulated right of admittance to health info about them that is confined to records held in
Victoria by the secluded sector. Also, the act creates Health Privacy Principles (HPPs) that
applies to medical information gathered and handled in Victoria by the various public division
and the private division.
The Health Records Information and Privacy Act 2002.
The regulation is specific to health material, delivers a legal framework for concealment in this
expanse as well as delivering a complaints device and an opportunity for patients to pursue
access to their health data records. The persistence of the Act is promoting fair and liable
handling of medical information by protecting the discretion of an individual’s health data and
enabling people to access their data.
In business perspective (needs), Pediatric Medical Center (PMC), should operate in a sense that
their clients will enjoy services that are offered about the set government acts. Going against the
administration’s act will fail the business reason that the government may decide to close up the
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center. Every business operating should at all times apply measures that satisfy their client to
improve their competitive edge needs.
As the analyst, in curbing up the challenges facing the business as per the case study, the
following recommendations should be considered. Off the shelf application software that meets
the requirement (functional) should be purchased from a determined dealer. Combination of
more than one software is much considered a function requirement not met by one software will
tend enhancement by the other software (Gartz 2004, p73).
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References
Demšar, J., & Bosnić, Z. (2018). Detecting concept drift in data streams using model
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Fjermestad, J., & Romano Jr, N. C. (2016). Journal of Enterprise Information Management-Vol.
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%E2%80%9Cexisting-it-systems-don%E2%80%99t-do-enough%E2%80%9D
Kasemsap, K. (2018). Mastering intelligent decision support systems in enterprise information
management. In Intelligent Systems: Concepts, Methodologies, Tools, and Applications
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Jhingran, A. (2006, September). Enterprise information mashups: integrating information,
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Valacich, J., & Schneider, C. (2015). Information Systems Today: Managing in a Digital World
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Wang, J. W., Wang, H. F., Ding, J. L., Furuta, K., Kanno, T., Ip, W. H., & Zhang, W. J. (2016).
On domain modelling of the service system with its application to enterprise information
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Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., ... &
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