Artificial Intelligence in Healthcare

Running head: NURSING
Nursing
Name of the Student
Name of the University
Author Note

1NURSING
In this paper, five peer review articles has been summarized along with explaining the
efficiencies, outcomes, nursing practices, lesson learned as well as healthcare delivery. The
search has been performed within the time range of last 5 years and the chief focus was oon
clinical systems for providing support for improving efficiencies as well as outcomes. The paper
has mainly focused on Artificial Intelligence (AI), a filed which deals with development,
conception, and tool based intelligent technologies as well as implementation of informatics
(McGonigle, 2018). The chief purpose of the paper is to assess the complex thought process as
well as intelligence of human beings.
Artificial intelligence (AI), when it comes to the healthcare industry, refers to the
complex software as well as algorithms used for estimating human cognition during analysis of
medical data (Suchi, 2019). It is also defined as the ability of the computer algorithms for
drawing approximate conclusion without direct input by human beings (Suchi, 2019). It is
considered to be one of the 5 crucial trends that has the potential to shape the industry in 2019
(Pifer, 2019). AI is expected to suppress 24 billion dollar b y the year 2025 compared to 2.1
billion dollars in the year 2018 (Pifer, 2019).
Improvement
It takes a lot more data compared to human brain in order to use AI more efficiently
(Garage, 2019). AI has the potential to reduce errors during diagnosis as well as treatment along
with allowing the doctors to work with greater number of patients (Garage, 2019). In future, i is
expected that individuals will gain the capacity of self diagnosis with the help of DIY medical
diagnosis (Garage, 2019). This will be done through apps by asking questions, processing the
histry of the patients along with demonstrating diagnosis based on the symptoms (Garage, 2019).