Critical Appraisal of a Published Article: Health Intelligence and AI

This report presents a critical appraisal of a published article focusing on health intelligence, exploring its impact on population and personalized health. The report evaluates the strengths and weaknesses of the research, discussing the role of artificial intelligence and data science in transforming healthcare. It examines the use of health surveillance data, the application of AI tools, and the challenges and opportunities associated with implementing health intelligence. The analysis covers topics such as internet-based health information, mobile health applications, and personalized health intelligence, while also addressing ethical considerations and the potential for improved patient care and public health outcomes. The report concludes by summarizing the key findings and emphasizing the importance of health intelligence in modern healthcare practices. References are provided for further reading.

Critical Appraisal of a
Published Article

Table of Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
Critically evaluation....................................................................................................................1
CONCLUSION ...............................................................................................................................4
REFERENCES................................................................................................................................6

INTRODUCTION
Health intelligence has been undertaken in order to interpret, analyse, processing and
generation of useful products which provides proper direction and assistance to individuals such
as public health practitioners, clinicians, responders, decision making and wider stakeholders os
that they can collect better surveillance data and information which is going to be use in
accomplishment of goals and objectives in effective manner(Chen, Liu and Peng 2019). Health
intelligence the concept which is necessary and critical to modern health system in which they
have been particularly utilises for bioterrorism and biosecurity. The below report is bases on
critical evaluation of health intelligence and how it has been transform population and
personalised health.
MAIN BODY
Critically evaluation
As per the view point of Martin Michalowski, 2021. Health intelligence has been take the
effective utilisation of health surveillance data and information through it add value and
meaning. Intelligence product has been produce with the adequate and systematic process which
has been involve deep insight of critical information. Health intelligence has been associated
with the utilisation of tools and methods which are from the article intelligence and data science
which provides support in to better in sights, eliminated waste and consume time so that
objective can be achieve in better way (Nundy,Montgomery and Wachter 2019). Moreover this
provides help in to increase speed, efficiency of services, accuracy level has been enhanced and
productivity in health and care. Through which public health will be enhanced in effective
manner. Data and information is being collected from many sources by public health authorities
and research have been evaluate them together in order to measure the incidence and prevalence
of different health conditions and related factors that can be risk in future (Health intelligence:
how artificial intelligence transforms population and personalized health, 2021). Artificial
intelligence is the method that has been extract health and non-health information from the
various level of harmonize and continue with integration of information about populations and
communities along with the evidence of control of chronic disease in order to present a
reasonable image in front of the authorities. It has been recognise that there are various aspect
and elements which has provides support in to shape health and well being of individuals and
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communities which have their existence outside the conventional health care. Artificial
intelligence has been develops a methodology which through which multi level modelling
combines with individual level data through align with social makers This has been provides
measurable indicators of social condition of the general society in order enhance disease
surveillance, disease predictions along with execution and evaluation of population health
intervention(Price Gerke and Cohen, 2019). Health intelligence and health surveillance is
describe as the systematic activities which has been undertaken in order to manage public health
along with this, it is also the important component of the wider health system that has been
responsible to manage health and carter the diseases and related factors which can be serves as
the risk in future.
Internet and health :-
According to today's world situation almost all youth generation spend their most of the
time in interacting with people through Internet. It is the first source of health information. IN
terms of public health it has been expanded through Internet only which was earlier been done in
traditional ways. All Internet based health indicators are in connection with other ways in order
to gather information in relation with clinical systems. The web based sites and smart devices are
very much advanced and with the help of social media platforms they guide all practitioners of
public health as well as researchers in context with both education and public health
communication.
Mobile health:-
All clinicians and various researchers of public health has got opportunities with the help
of enhanced mobile connectivity and other wearable applications in relation to public health like
Health Lot. It helped all researchers in understanding in understanding about all populations in
order to provide care as well as initiate certain preventive ways(Ranschaert, Morozov, and Algra
2019). Earlier traditional ways were been used but now as in context with mobile health they
provide all individuals to connect quickly with other people if they want to ask for any
information they want to.
It has been critically evaluated that health intelligence helps in having a transformation of
population and personalised health in individual's life. As health intelligence takes use of tools
and methods from artificial intelligence and data science in order to have better and higher
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insights, decrease in waste and wait time and enhanced speed, service efficiencies, level of
productivity and accuracy in healthcare and medicine.
One of aspect of artificial intelligence of health intelligence is personalised health
intelligence. It states and evaluated that health intelligence is a basic starting block and major
driver for initiatives like precision medicine(Wang, Kaushal and Khullar, 2020). As
personalised healthcare is referred as an method and approach for disease management which
considers individual and specific variability in environment, lifestyles and genes for each and
specific individuals persons. Artificial intelligence is presently used to process and implement
personalised data in order to elicit patient preferences that helps patients to participate in care
process. It has been evaluated that it helps physicians that take uses of this participation to have
high and better quality and effective personalised care. There is a generic therapy plans and
connecting patients with various information which are beyond available health care
setting(Sniecinski and Seghatchian 2018). There are various clinicians and public health
practitioners that are using these health care technology to deliver a tailored therapy and
interventions which are based on best and high evidence in order to maintain high quality patient
care services and creation in healthier communities. For taking up an example of personalised
health care intelligence there is a demonstration of use of machine learning in order to enhance
accuracy of phase 2 colorectal cancer prognosis.
With carrying these aspects it has been evaluated that there are also various challenges
and opportunities which are present in markets. There is a large spread of use of intelligent
applications in healthcare and there is also some of challenges which are faced in their adoption.
As in recent times there is a acceptance of technology that could be specially used for analysing
and determining diagnostics in clinical setting, concerns that are related to scalability,
interoperability, data integration, privacy, security and ethics of aggregated digital data which are
considered to be an example challenges of health intelligence. There are various social and
behavioural terms which plays critical role in management that enhances crucial patients as there
is a requirement to have key elements of technology based solutions(Zhu and Zheng 2018). As
despite of carrying limitations of artificial intelligence techniques and tools which are still in
their infancy of health intelligence which constantly provides various substantial benefits in
providing a deep knowledge and on individuals of health and prediction populations health risks
and their use for medicine and public health that are likely to taken fr having an increase in
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substantially in coming future. It has been evaluated that there is a wide and important role of
artificial intelligence in context to health intelligence as this helps in dealing and treating patients
of crucial diseases. There are various technologies that are used in order to have efficiency as
well as improvement in healthcare facilities for individual and public staff.
Health intelligence is referred as a base of treating and handling various patients of
crucial diseases(Ranschaert, Morozov, and Algra 2019). With that it has been founded and
evaluated that there is a major role of health intelligence in health care sector as these artificial
intelligence tools and techniques helps doctors and clinicians to treat patients well and saves
their lives. Along with that there are various challenges and opportunities which are faced by
business and health care sector. In general there should be proper and effective use of tools and
technologies of artificial intelligence in order to grab market health care sector well.
CONCLUSION
From above report it has been concluded that health intelligence is process of having and
understanding and analysis of public health information in support of population, healthcare
planning and healthcare outcomes. This report briefly explains about a critical evaluation and
analysis of health intelligence that creates and impact on life and health care of public. This
article carries a brief explanation about various aspects of health intelligence that determines
various healthcare factors of public. There is also a explanation of challenges and opportunities
that are present due to health intelligence on individual's life.
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REFERENCES
Books and Journals
Chen, P.H.C., Liu, Y. and Peng, L., 2019. How to develop machine learning models for
healthcare. Nature materials, 18(5), pp.410-414.
Nundy, S., Montgomery, T. and Wachter, R.M., 2019. Promoting trust between patients and
physicians in the era of artificial intelligence. Jama, 322(6), pp.497-498.
Price, W.N., Gerke, S. and Cohen, I.G., 2019. Potential liability for physicians using artificial
intelligence. Jama, 322(18), pp.1765-1766.
Ranschaert, E.R., Morozov, S. and Algra, P.R. eds., 2019. Artificial intelligence in medical
imaging: opportunities, applications and risks. Springer.
Sniecinski, I. and Seghatchian, J., 2018. Artificial intelligence: a joint narrative on potential use
in pediatric stem and immune cell therapies and regenerative medicine. Transfusion and
Apheresis Science, 57(3), pp.422-424.
Wang, F., Kaushal, R. and Khullar, D., 2020. Should health care demand interpretable artificial
intelligence or accept “black box” medicine?.
Zhu, L. and Zheng, W.J., 2018. Informatics, data science, and artificial
intelligence. Jama, 320(11), pp.1103-1104.
ONLINE
Health intelligence: how artificial intelligence transforms population and personalized health,
2021. [Online] Available through: <https://www.nature.com/articles/s41746-018-0058-
9>.
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