patient management system in IBM PDF

Assignment 2
1. Watch: https://www.youtube.com/watch?v=cs6rVt8kAuo
Discuss and report what you have learned based on our discussion in Microsoft
Teams
There have been a lot of new subspecialties emerged in the world today as the
medical knowledge and technology become advanced day by day. This calls for a
quick, precise and concise process either for diagnostic or therapeutic for patient
management system which was inspired from the inception of a program known as
IBM Watson that made its debut in the Jeopardy! show, defeating two top contestants
in 2011. The show featured the execution of natural language processing (Miller,
2013). The IBM scientists’ notion to expand the application of IBM Watson was
dubbed by the stakeholders as “promising” and “the future of medicine” due to human
error limitation caused by the physicians themselves. For example, a neurologist is
unable to diagnose gynaecological problems, vice versa.
For the past decade, the IBM Watson has shown impressive series of progress and
development, for instance the scientific discovery for amyotrophic lateral sclerosis
(ALS) which does not have effective treatment but the diagnose can be accelerated
using this program in terms of identifying additional RNA-binding proteins (RBPs)
altered in the ALS (Bakkar et al., 2018). It is also not geographical bias, for example
the therapeutic option that the IBM Watson for Oncology (WfO) suggests for breast,
lung and colorectal cancer. It other words, although it was developed in the United
States, the results can be fairly compared with other oncologists’ recommended
options across the globe (Suwanvecho et al., 2021).
On the contrary, this program is not without drawbacks. First, like any other
businesses, profitability is the main concern. A lot of money had already been spent
on partnership and the acquisition of expert companies for research and development
such as Merge Healthcare and Truven Health Analytics (Vespoli, 2021). Following
this, interested parties began eying on IBM Watson’s strengths and setting unrealistic
expectations. However, all the hypes eventually took a toll on the IBM Watson’s
ability to fulfil the expectations.
Second, the scientists did not properly understand the prerequisite of the core
automation process in which not all elements must be automated at the first place.
This is because a human being can perform better tasks that involve emotions. In this
case, a patient’s perspectives were not strongly considered by the scientists. From my
own personal experience during medical school, my clinical lecturers always
emphasize on the importance of actually “treating the patients” rather than “treating a
disease and the symptoms”. In my opinion, a committee or taskforce should be
established to carefully evaluate this matter to eliminate any early problems occurred.
Other than that, the third factor leading to the program’s failure was because of no
involvement from a capable third party during machine learning process as a result of
the absence of open-source platforms. This happened when the business refused to