Principles of Health Informatics

Principles of health
informatics

Table of Contents
Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
TASK 1............................................................................................................................................1
The capabilities of artificial intelligence.....................................................................................1
The applications of artificial intelligence in healthcare..............................................................2
The benefits of artificial intelligence in healthcare.....................................................................3
Barriers to adopting AI in Healthcare.........................................................................................4
Analysis of impact of AI in health care delivery........................................................................4
TASK 2...........................................................................................................................................5
The ethical challenges of artificial intelligence in healthcare.....................................................5
The social challenges of artificial intelligence in healthcare......................................................6
The legal challenges of artificial intelligence in healthcare........................................................6
Determining the challenges that artificial intelligence presents for patients and clinicians.......7
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
The health informatics is related to adequate interrelation in between computer science,
information technology and health care. It is a field that has dealt with various devices, methods
and resources through which optimised storage, retrieval and acquisition is used as with this
adequate usage of health and biomedicine is processed as per consideration of disease
management (Ajeesh and Luis, 2018). There are different principles of health informatics is used
that advances art of computer technologies under which effective and efficient data is collected
with acquisition. The report below is based on capabilities of AI that assist to analyse challenges
as well as benefits of employment within health care delivery. In addition, consist of ethical,
social and legal presence of artificial intelligence for clinicians along with patients.
MAIN BODY
TASK 1
The capabilities of artificial intelligence
Artificial intelligence is an aspect that advance and improvise working possibilities from
machines to learn from previous experience through which adequate adjustments are induced
such as to perform and conduct human like tasks. In this cognitive technologies are implemented
that is used to increase problem solving capabilities and its attentiveness under which ambitious
outcome are perceived with adequateness. It is useful for all the businesses of different sector
that enhance the learning capability regardless of technologies. In order to improvise rate of
automation business process, advancement of data insight along with analysis and engagement of
potential customers with employees. It is dependent on different basis that is as explained below
as:
Process automation: It is the most common mode that is dependent on physical and digital tasks
as with this financial and administrative activities get performed in balanced mode. In this
process business processing is advanced as with this automation tools are generated as with this
human inputting and consumed information is consist as IT systems (Avalos, Flanagan and Li,
2019). It consists of transferring of data from call centre and e-mail under which timely update is
addressed as per change in services. It credits and ATM cards are replaced along with continuous
accessing of customer’s communication and records.
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Cognitive insight: It is used to detect algorithm patterns as with this vast data and effectual
interpretation is developed with support of learning applications. It used to predict customer
likeliness under which insurance detection and fraud claim is analysed with concern of safety
and quality related issues. It is provided by machine learning through which data intensive and
detailed training is offered under which ability to make adequate predictions is improvised as per
timely concern.
Understanding of technologies: It embarked with concern of artificial intelligence as with
this suitable strength and limitations under which capability to advance expert system is
improvised in support of robotic automation. The wastage of money and time is pertained of
adequate usage of technologies through which effectual position is attained as by addressing
specific needs and demand of marketplace (DeCamp and Lindvall, 2020). It leverage working
capability as under this willing to process necessary learning is implemented with concern of
accurate usage of capabilities which is essential and required to progress.
The applications of artificial intelligence in healthcare
Artificial intelligence is basically referred to simply the life of doctors, patients and
administrative department of hospitals as with this working performance is typically processed
with support of human with lesser period of time and minimum fraction of cost. It is used to
efficiently diagnose and to reduce working error through which diagnostic process is improvised
in terms of exciting healthcare applications. It predicts to enhance rate of medical professionals
in support of parallel development of machine learning and related technologies. In this
healthcare companies reduces the rate of individualised medical treatment as with this diagnosis
of disease is processed in timely frame. Enlitic develop depth learning that streamline radiology
diagnoses as with this unstructured medical data such as EKS’s, genomics, blood test,
radiological images and medical history of patient is insight as per related to real time need.
However, this will help in recognising and diagnosing the disease quickly and it also
reduce the cost of diagnosing the disease (Gorbunovа and Govorova, 2018). There is also some
new technology for diagnosing the disease they are genomics, proteomics, cell biology, stem
cell, and organ therapy. Before 10 years in hospitals do not have new technologies is the reason
sometimes it results the failure of the surgery. And also they cannot create 3d painting to create
human body parts, without artificial intelligence doctor can not able to reproduce blood vessels.
Hospitals does not have the controlled device so they are unable to send the reports of pulses to
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