Impact of Artificial Intelligence on HR Policies in Healthcare Organizations

LEADERSHIP, STRATEGY
AND
CHANGE IN HUMAN
RESOURCES

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EXECUTIVE SUMMARY
This report presents the Artificial Intelligence that can be used within the healthcare
organisations. It also highlights the ideas regarding the ways in which various kinds of AI can
be used within the firm. Different function of different AI has been elaborated within this
report. From decision making to the complex operations, from drug development to
monitoring of patient’s health can be easily done with the artificial intelligence systems.
Since AI is bringing changes to the work culture and the work process hence it is directly
affecting the HR policies of the organisation. For managing these changes Kurt Lewin’s
change management can be highly beneficial. In the last section of this report an appropriate
change management strategy has been proposed.

2
Contents
INTRODUCTION.................................................................................................................................2
TASK 1.................................................................................................................................................2
Types of AI that may change the way of work in health sector.........................................................2
TASK 2.................................................................................................................................................4
Effective change management strategy..............................................................................................4
CONCLUSION.....................................................................................................................................6
REFERENCES......................................................................................................................................6

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INTRODUCTION
In all across the globe there is a huge amount of change in the ways of doing business. This
can be reflected in many functions within the organisation and so is the case with Human
resource management. In the era of technology, companies have shifted towards taking use of
artificial intelligence in their business process. Artificial Intelligence is known as the
intelligence that is possessed by machine in contrast to natural intelligence present in humans.
Artificial intelligence has made the work process easier in almost all the departments. Due to
change in the work process, this has made the companies to rethink about their HR policies
(Virtanen, et. al., 2016). There was a subsequent change that was noticed in the HR policies
due to implementation of the AI in the health sectors. These changes have also been
analogous to organisational strategies and have a considerable impact on the business
strategy. It is essential that an organisation understands the impact of implementing the
Artificial intelligence on their business so that it may not cause any negative disruption. This
report highlights the types of Artificial intelligence that may change the working of the health
sector. It also illustrates the use of Lewin’s Force Field theory for evaluating the likelihood of
the change.
TASK 1
Lewisham Hospital is a part of Lewisham and Greenwich NHS trust. It is an acute district
general hospital services the district of London Borough of Lewisham. It was affiliated by
King’s College London. It is having emergency services at the same time it has 450 beds. It is
known for its effective utilisation of resources. In this report various aspects related to AI that
is used in the hospital has been discussed.
Types of AI that may change the way of work in health sector
There are four types of AI that can be used in the health sector. All these AI may alter the
way in which work is being done within the organisation in different sectors and so is the
case with health sector (Wang, et. al., 2013). These AI and its influence of ways of doing
work are as follows:
 TYPE 1 AI or the Reactive machines: These are the AI machines that are purely
reactive in nature but do not store any past data. These kinds of machines are used
within the healthcare sectors for diagnosing any particular type of disease (Virtanen
and Stenvall, 2018). Since these medical equipment does not requires any past data in