How can AI help in Healthcare Management and Leadership.

1. Can support Healthcare
Leadership
How
Dr Laila Azmi
Bachelor of Ayurvedic Medicine and
Surgery(BAMS)

2. CONTENTS
Introduction01
Traditional Complementary
Alternative Medicine
02
How to get prepared to AI03
Key opportunities to Success
in Healthcare
04
Challenges05
Recommendations06
Conclusion07

3. • Artificial Intelligence or A.I. has become a hot topic
of discussion
• AI Is not something that is in the distant future , but
it is something that is right here right now. Its really
about preventive care and there by making people
healthier.
• One cant really understand how great the impact
will be until we have seen it , we cannot always make
a right decision but with AI its easier , when you have
a friend by your shoulder.

4. Human intelligence
vs
Artificial
intelligenceCreativity
Emotion
Empathy
Consciousness
Planning
Executing
Human intelligence is
bigger because
creation of God
Information Processing
Memory built-in
instructions
Humans intelligence is
the real creator of the
artificial intelligence
May have high
development cost

5. Traditional Complimentary Alternative Medicine(TCAM)
Diagnosis
By: Pulse reading ,
Doshas (body
constitutional)
analysis.
Purification
procedures
detoxification
procedures,
Hijama
(cupping)
Panchakarma,
Massages,
acupuncture,
procedures
Herbal
traditional
medications
Formulations.
Lifestyle
management
Seasonal
Routine
Application of AI in TCAM

6. eezy
–
A.I. lifestyle planner
Only available in App store IOS
device
Such Apps can be designed as per the Holistic Preventive lifestyle ….

7. Focusing on our adaptability.
Absorbing our fears
Keeping an open mind
Having comfort in uncertainty
Embracing humility
Will Artificial intelligence make you a better leader?
Will AI Change the Future of Leadership
?
How to get prepared for AI

8. 1.Early
detection of
Disease.(cancer)
2. Digital pills
3. At home
diagnostics
1.Automated
wheelchairs.
2.Medical grade
wearables
3. Connected eye
wears
Devices
Diagnosis
1.Robotic surgery.
2.Robotic care
takers
3.Exo skeletons
4.Pharmabotics
Robotics
Block chain
AI consciousnessPharmacy
1.Intelligent
administrative
/clinical
workflow
assistance.
2. Clinical trials
1.Patient
monitoring
2.Diagnosis
3.Fraud detection
4. Better
prediction of ICU
transfer,suicide
1. Drug
discovery
2.Data mining

9. Robot cardiac surgery in UAE's
Al Qassimi hospital
A patient in Abu Dhabi uses Rex
to move around at Amana
Healthcare
RIBA II Healthcare Robot
Microsoft files patent for smart
eyeglasses to measure blood
Augmented Reality
Smartglasses Deliver True
Visual Independence for People
with Severe Vision Loss

10. High Capital InvestmentSimple PowerPoint
Simple PowerPoint
1 2
3 4
.
No Emotional AttachmentFear of Losing a Job
Data Privacy Concern
What Are the Limitations of Artificial Intelligence? challenges
Although AI serves as a blessing for the healthcare industry, there are some limitations in this technology that have
been experienced until now.
With the arrival of AI nurses and physicians, there is a
concern among humans that their job will be taken away.
There will be increased unemployment in the medical sector.
The robotic machines cannot give the love, care, and
consolation that a human doctor or nurse can provide
times of distress as they don’t experience any
emotions.
No doubt the AI machines can work better than
humans in saving and managing the hospital data,
but there is an anxiousness whether the data is
safe there or not. As medical information is very
sensitive and confidential, so there is a possibility
of data getting hacked by hackers in machines.
To get faster and more accurate results in the
hospital industry, a high level of capital investment
is needed for the development of bots.

11. The majority of customer data necessary to discover impactful
insights is hidden below the surface ..
Role of AI in Customer Satisfaction

12. Health Screening Tests Medicomat-39 Health
NLS(Non Linear Health Screaning) Bio
resonance Express Studying the State of the
Organism and Therapy Computer USB
Gadgets
by Medico mat
This diagnosis system can be
implemented in Preventive and
early detection and finally
diagnosis of the diseases.
Price : 1490 dollar

13. Big Data and AI implementation in
the Healthcare
Real-time
Healthcare
Bigdata
Analytics… Lowering of
projected
infrastructural
expenses by
one-third.
Claim
Adjudication
Analytics…
Improve
Underwriting
Process…
ECG Data
Analysis…
Sentiment
Analytics…

14. •AliveCor® KardiaMobile EKG
Monitor | FDA-Cleared | Wireless
Personal EKG | Works with
Smartphone | Detects AFib
Bradycardia and Tachycardia in 30
Seconds
• by AliveCor

15. conclusion
Even though there are still much to overcome in AI-enabled healthcare, the use of artificial
intelligence in this industry is expected to flourish. As you’ve seen from the gathered examples
of artificial intelligence in healthcare, this technology makes a real difference. It streamlines
daily activities, simplifies the lives of the medical personnel, spares time and has immense
economic value. But what’s more important, it helps save lives. To lead along with AI one needs
to demonstrate high levels of adoptability and agility.
Machines with AI can learn, predict and respond. Whether these machines are busy finding
genetic correlations or assist surgeons in the OR, we, humans, will benefit from our improved
well-being and a completely new digital face of the healthcare system.