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Chapter 29 and 36, Trends in Informatics Case Study
Mandy Hall
HIM301: Introduction to Health Informatics
Lois Hitchcock
UAGC
October 16
th
’ 2023
2
Introduction
Technology breakthroughs and the ongoing demand for better healthcare services are
driving the fast evolution of health informatics. The benefits and difficulties of simulation
technology, the significance of predictive analytics in modern society, and the use of Health
Information Technology Governance Activities and Processes for prioritizing informatics
projects are just a few of the trends in health informatics that are discussed in this paper.
Benefits and Challenges of Simulation Technology:
The use of simulation technology has been increasingly popular in the healthcare sector,
where it provides a number of advantages that improve patient outcomes and advance medical
education. Enhanced Training, Reduced Risks, Research and Development, and Improved
Patient Outcomes are a few of the major benefits. Medical practitioners may rehearse intricate
operations using simulation technology in a safe setting, which helps them become more skilled
and ready for emergency scenarios (Mourtzis, 2020). Serious repercussions can result from
medical blunders. With the use of simulation technology, operations may be tested and improved
in a secure environment, lowering the possibility of mistakes being made when treating actual
patients (Mourtzis, 2020). Healthcare practitioners can investigate and create novel therapies and
procedures through the use of simulations for research without endangering patients (Mourtzis,
2020). The ability of healthcare professionals to practice on simulations can increase, perhaps
resulting in better patient outcomes and shorter recovery periods (Mourtzis, 2020).
Despite its advantages, simulation technology has its share of drawbacks, such as high
implementation costs, technological complexity, lack of realism and accuracy, and constant
updates. Smaller healthcare organizations may find it difficult to embrace this technology since
setting up simulation labs and purchasing the necessary equipment might be expensive
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(Mourtzis, 2020). Specialized knowledge is needed to manage and maintain simulation
technology, which presents a barrier for healthcare organizations with constrained technical
resources (Mourtzis, 2020). Since simulations don't always perfectly reflect real-world situations,
there might be gaps in the learning process and a chance of forgetting certain important patient
care details (Mourtzis, 2020). Healthcare technology is developing quickly. It can be difficult to
keep simulation technology current with the most recent developments in medicine (Mourtzis,
2020).
Rationale for Choosing Predictive Analytics
By using data to forecast outcomes, trends, and behavioral patterns, predictive analytics
has the potential to change the healthcare industry (Fang et al., 2019). Predictive analytics may
be used in the healthcare industry to find high-risk patients, predict disease outbreaks, and tailor
therapies based on data from specific patients. Healthcare practitioners may enhance patient care,
distribute resources more effectively, and make data-driven choices by utilizing predictive
analytics. This development is critical because it equips medical personnel to proactively treat
future health problems, lower medical expenses, and improve general patient wellbeing.
Predictive analytics also has the potential to make a substantial contribution to preventative
healthcare practices, which are crucial for fostering a healthy society and lessening the strain on
healthcare systems (Fang et al., 2019).
Health Information Technology Governance (HITG)
It is essential for ensuring that a company's health information technology resources are
managed, used, and protected effectively. Comprehensive planning, policy formulation, risk
management, and ongoing assessment are all essential components of effective HITG activities
and procedures to guarantee that informatics initiatives are in line with corporate objectives and
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legal mandates. Organizational leaders can use these activities in the context of health
administration to prioritize informatics initiatives pertaining to implementing an informatics
trend, such as predictive analytics (AlHamad et al., 2022).
To comprehend the existing technical landscape, identify gaps, and assess the
organization's preparation for the application of predictive analytics, an organizational leader
would start a complete evaluation. This evaluation would entail examining the workforce's skill
sets, current data infrastructure, and the possible effects and advantages of using predictive
analytics (AlHamad et al., 2022). The leader would concentrate on creating guidelines and
regulations to control the application of predictive analytics using HITG activities. This would
entail creating processes for assuring data security and privacy as well as criteria for data
collecting, storage, and use. The firm may guarantee adherence to best practices and industry
requirements by creating explicit rules (Nelson & Staggers, 2018).
A thorough risk management strategy would be required to prioritize informatics
initiatives connected to predictive analytics. The organizational leader would evaluate any risks
related to privacy violations, system breakdowns, and data breaches. To reduce risks and
guarantee the integrity and security of patient data, mitigation techniques such strong data
encryption, frequent security audits, and staff training programs would be put in place (Nelson &
Staggers, 2018). To enable the use of predictive analytics, the leader would provide the proper
resources, such as funds, qualified staff, and technical infrastructure. This would entail working
with important stakeholders to get the required funding, developing relationships with
technology suppliers, and making sure that there are qualified data analysts and IT experts on
hand to successfully lead the implementation process (Nelson & Staggers, 2018).
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In order to implement HITG operations, it would be necessary to set up systems for
ongoing assessment and supervision of the informatics initiatives. To analyze the efficiency of
predictive analytics in enhancing patient outcomes, maximizing resource allocation, and
accomplishing organizational objectives, the organizational leader would set up routine
performance evaluations. To guarantee the ongoing success of the informatics initiatives,
required modifications and enhancements would be implemented based on the evaluation's
findings (Nelson & Staggers, 2018).
Conclusion
In conclusion, the development of healthcare services depends on keeping up with the
most recent developments in the field of health informatics, which is always changing. While
simulation technology has advantages and disadvantages, predictive analytics stands out as the
most important trend for modern civilization. Organizational leaders may successfully prioritize
informatics projects and promote good improvements in healthcare delivery and management by
recognizing the value of Health Information Technology Governance Activities and Processes.
The healthcare sector may advance toward a future of greater patient care, better results, and
effective resource use by embracing these trends.
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References
AlHamad, A., Alshurideh, M., Alomari, K., Kurdi, B., Alzoubi, H., Hamouche, S., & Al-Hawary,
S. (2022). The effect of electronic human resources management on organizational health
of telecommuni-cations companies in Jordan.
International Journal of Data and Network
Science
,
6
(2), 429-438.
Fang, H., Lu, W., Li, Q., Kong, J., Liang, L., Kong, B., & Zhu, Z. (2019). Predictive analytics
based knowledge-defined orchestration in a hybrid optical/electrical datacenter network
testbed.
Journal of Lightwave Technology
,
37
(19), 4921-4934.
Mourtzis, D. (2020). Simulation in the design and operation of manufacturing systems: state of
the art and new trends.
International Journal of Production Research
,
58
(7), 1927-1949.
Nelson, R. & Staggers. N. (2018).
Health informatics: An interprofessional approach
(2nd ed.).
Elsevier.
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