Copyright © 2020 PhdAssistance. All rights reserved 1

A User-Focused Artificial Intelligence (AI) Transdisciplinary Study

Strategy-Supported Health Technology Management

Dr. Nancy Agens, Head,

Technical Operations, Phdassistance

info@phdassistance.com

I. INTRODUCTION

When it comes to managing Healthcare

and/or a Hospital setup, there should be

some coherence in the way things work.

Hospital and healthcare management is not

about mere handling of internal and

external affairs, but it also involves a

timely look into the processes and getting

results that are satisfactory to all the

parties’ patients, physicians, care

specialists and other medical professionals.

Stating these, technology is the

backbone to any healthcare management

facility. However, there are specific

innovations brought in the field of

medicine and one such interesting and

highly appreciable application is that of

Artificial Intelligence (AI).

A healthcare committee (Arney et

al., 2019) that runs under the control and

processes of Artificial Intelligence holds a

significant value towards a positive

approach to medicine and caretaking.

Furthermore, Artificial Intelligence

improves the total health outcome with a

neat clinical workflow. But there are some

challenges to face during this process.

When it comes to AI-enabled

health facilitation, some concerns arise due

to:

Data security and information privacy

Speedy and quality delivery of services

Effective and sustainable management

Medical paternalism

And a few more technical aspects

To achieve a fine system and also

to resolve the mentioned issues and more,

a generic, unified project is needed. This

approach is the ‘transdisciplinary’ agenda

of AI-operated healthcare. As the name

says, the core of this approach is to

perform healthcare and any other medical

administration by using a cohesive and

collaborative design that gives

stakeholders a stronghold of their

management positions (transdisciplinary –

interdisciplinary). Below are some of the

interesting features and options worth

reading about Healthcare Management

and the transdisciplinary approach of AI-

medical governance.

But before that, why prefer only

Artificial Intelligence for healthcare

governance? As a direct solution, many

artificially intelligent tech-gadgets can

effectively change and develop our

environment around subtly. Healthcare

governance with the support of

Artificial Intelligence enables everyone

to get data that is both relevant and

ration on multiple terms! Let’s move

on.

II. HOW GOOD IS ARTIFICIAL

INTELLIGENCE FOR HEALTHCARE

AND WELLNESS?

By enabling data-based

technologies (john C. Hower, 2020) for

healthcare and medicine, patients can avail

quality medical support for living healthier

and meaningful living. But due to the high

level of technology sources, there is only a

small gap between mining a customer’s

data for a commercial purpose.

Some of the examples of gathering this

data from our gadgets include

instances where you download a

mobile application for tracking your

water consumption level or to coach

your health level through wearable

devices.

Copyright © 2020 PhdAssistance. All rights reserved 2

On a positive note, there is also a

good number of benefits to gain from

using Artificial Intelligence for

Health/Medical tech governance.

Besides the advantage of helping

someone understand the societal

challenges and practises in the field of

medicine, AI-enabled healthcare

governance additionally offers insights on

developing new medical capabilities and

therapeutic systems for patients.

Therefore, it is a fact that Artificial

Intelligence is more of a double-edged

sword, that can give end which might be

positive or negative for a user.

The top 4 benefits that you can get

using the Artificially Intelligent medical

system

Artificial Intelligence is a

transformational power for the medical

world. From risk management to quick and

efficient medical diagnosing (Bresnick,

2018), there are a few benefits to gain

using the transdisciplinary approach of

medical tech governance. The following

perks are the top 4 advantages of the same:

Radiology tools such as X-ray

machines, computed tomography (CT),

and many other non-invasive resources

are possible through Artificial

Intelligence’s medical governance.

Resistance to antibiotics is a growing

risk factor in several global hospitals.

Yet, with accurate use of AI-enabled

medical protocol, the data of patients

can be stored and alerted when needful

using electronic health records (also

called electronic medical records –

EMR).

Immunotherapy is one of the best and

highly promising treatment options

considering the recovery of many

forms of melanoma. Machine learning

prototypes along with AI-powered

information biometrics can create new

developments in delivering

immunotherapy and other cancer-

related target remedies.

Even your smartphone can be an

effective tool to notice facial mishaps

and any other craniofacial

abnormalities. Combining the idea of

interdisciplinary management and

Artificial Intelligence, physicians and

technical experts are already working

on projects that help in early detection

of facial issues through as simple as

taking a selfie from your smartphone!

Want to know some real-time

applications (UnfoldLabs, 2017) of AI in

healthcare, that are already in use?

III. CHECK OUT THE FOLLOWING

No need to go for a cataract operation

when you can use eye drops to resolve

your problem by dissolving it.

Reduce your impact of headache using

an implant that will send electrical

signal pulses as a control mechanism.

For healing your wound quickly, get

yourself a replica of your blood vessel

or even your organ, using the booming

technology of 3-Dimensional printing

(3D).

Adjust the dosage of your insulin

levels using artificial pancreas, which

will send glucose-sugar at the right

levels and at the right time.

Robots will now perform critical

medical surgeries and mimics human

interaction, apart from its emotion

detection capacity and natural language

processing data facility.

By resolving the issues related to

security and decentralization, medical and

healthcare pertinent domains have a long

and successful way of delivering the best

therapeutic approaches, as per one

patient’s needs and deeds.

Now, moving onto the most

interesting part, let us end our learning

about the transdisciplinary approach of AI-

enabled medical tech governance with

hopes for a better future (Buch et al., 2018)

through the following excepted application

for all of us:

o A spoken dialogue will automatically

get converted into summary letters,

easing the process of both the

Copyright © 2020 PhdAssistance. All rights reserved 2

physician and patient. Save the time

spent inside consultation rooms as

well.

o The one-size-fits-all prototype will not

be the case. From diagnosis to

treatment, every medical step will be

assessed and delivered, according to

individual necessities.

o Instant analysis of your medical reports

and suggestions will be sent from 1

physician to another specialist, right

before you. Therefore, your recovery is

also faster.

Thinking of the impact of Artificial

Intelligence in the fields of medicine, who

might guess, even your healthcare

management Dissertation Research

Proposal Service/Help can turn into a

useful resource to the society!

Let us join hands for a healthy,

affordable, sustainable, and effective

future.

REFERENCES

[1] Arney, D., Senges, M., Gerke, S.,

Canca, C., Ihle, L.H., Nathan, Kaiser,

Sujay Kakarmath, A.K., Ashveena

Gajeele, S.L., Luis & Melendez (2019). A

User-Focused Transdisciplinary Research

Agenda for AI-Enabled Health Tech

Governance. [Online]. Available from:

https://cyber.harvard.edu/sites/default/files

/2019-02/2019-01_aihealth.pdf?

[2] Bresnick, J. (2018). Top 12 Ways

Artificial Intelligence Will Impact

Healthcare. [Online]. 2018. Available

from:

https://healthitanalytics.com/news/top-12-

ways-artificial-intelligence-will-impact-

healthcare.

[3] Buch, V.H., Ahmed, I. & Maruthappu,

M. (2018). Artificial intelligence in

medicine: current trends and future

possibilities. British Journal of General

Practice. [Online]. 68 (668). p.pp. 143–

144. Available from:

http://bjgp.org/lookup/doi/10.3399/bjgp18

X695213.

[4] john C. Hower (2020). Artificial

Intelligence for Business. [Online]. 2020.

Available from:

https://online.wharton.upenn.edu/ai-

business/?utm_campaign=search_northeas

t_states&utm_medium=cpc_desktop&utm

_source=google&utm_term=%2Bartificial

%2Bintelligence&utm_content=42894697

4352&gclid=EAIaIQobChMIr5DHgp_q6

AIVRyUrCh29_wrhEAAYASAAEgIyO_

D_BwE.

UnfoldLabs (2017). The Impact of

Artificial Intelligence in Healthcare.

[Online]. 2017. Available from:

https://medium.com/@Unfoldlabs/the-

impact-of-artificial-intelligence-in-

healthcare-4bc657f129f5.