Slide deck of presentation on "Smart product & deep tech for Healthcare 4.0 in a B.A.N.I world" by Dr. Karthik Ramesh at SPM Summit India 2023

1. SMART PRODUCT & DEEP TECH STRATEGY
FOR HEALTHCARE 4.0 IN A B.A.N.I WORLD
DR. Karthik RAMESH
VICE PRESIDENT & Head INNOVATION – A leading HEALTHCARE IT MNC
•Acknowledging all sources/references that may have been
inadvertently missed. ALL LOGOS, TRADEMARKS ARE REGISTERED
AnD OWNED BY THE FORESAID COMPANIES DULY ACKNOWLEDGED

6. Source: Stacey RD. Strategic management and
organisational dynamics: the challenge of
complexity. 3rd ed. Harlow: Prentice Hall, 2002.

9. HOW 5G CAN BE LEVERAGED IN DIGITAL HEALTH?
9

10. EMERGING DEEP TECHNOLOGY TRENDS HEALTHCARE
10
Cognitive
Computing
• Drug discovery and research, clinical
decision support, medical imaging
and diagnostics capabilities have
been benefited from AI-based
Cognitive technology.
• Clinical decision support systems
often use web applications or
electronic health record integration
for providing prompts and reminders
to help health care providers
implement evidence-based clinical
standards at the point of treatment.
• Advancements in Machine and Deep
Learning based on the increased
availability of clinical data have
fueled renewed interest in
computerized clinical decision
support systems.
Smart health
monitoring
• Home care technology is a cost-
effective alternative to other
healthcare services such as assisted
living, nursing homes, and patient
care inside the house.
•
• The telemedicine feature enables
patients and physicians to share
information across vast distances
using virtual platforms, minimizes
travel time, transportation costs, and
the number of medical visits.
• Medical robots offer a wide array of
services, feature the ability to
answer medical queries, administer
drugs, and connect patients with
relevant healthcare specialists when
required.
Precision
Diagnostics
• Precision Diagnostics provides
personalized care to patients, with
an effective treatment and
continuous monitoring of the
patient to diagnose the chronic
diseases.
• Most healthcare technology start-
ups focus on radiology solutions
using deep learning to interpret
medical images, thereby accurately
diagnosing the diseases on X-rays.
• Tools employed in precision
medicine can include molecular
diagnostics, imaging, and analytics
to customize healthcare, using
medical decisions, treatments,
practices, or products targeted to a
subgroup of patients
Medical
Wearables
• Healthcare industries use medical
devices, which work with AI to track
noncommunicable diseases and
other vital signs.
• Biosensors embedded in these
devices continuously monitor a
patient's progress, while Big Data is
used to build a database of
information to enable better health
insights and patient management.
• Wearables can transform healthcare
by enabling real-time remote
measurement and analysis of patient
data.

12. SMART PRODUCT – DEFINITION & TRAITS
A smart product has built-in intelligence to read,
adapt, and react to the operating environment in
which it is used.
Smart products have sensors to perceive their
surroundings, and electronics, embedded code,
and on-board systems to decipher the incoming
signal from the sensors.
Depending on the system design logic, sensor
data is then stored locally or transmitted using
the internet to and from the cloud.
Source: https://tinyurl.com/2s88haaf
“smart, connected products”—made possible by vast improvements in processing power and
device miniaturization and by the network benefits of ubiquitous wireless connectivity – HBR
(2014)

13. SMART PRODUCT MANAGEMENT LIFECYCLE
Source: https://tinyurl.com/2s88haaf

14. SMART
PRODUCT
MANAGEMENT
IN HEALTHCARE
Remote monitoring of patients’ healthcare is a growing trend
that goes beyond traditional healthcare and into mainstream
culture.
Continuous Monitoring Mechanism In healthcare, providers
are turning to devices to help patients by continuously
monitoring their conditions and making proactive care choices
based on data trends and predictions.
the wearable biosensors used by providers across the world to
monitor patients and administer proactive care. These sensors
are worn on the body and monitor vital health signs like
temperature and heart rate to give their healthcare providers
Connected Emergency Response Solutions - With modern
healthcare smart technology, it’s possible to share data
between ambulances, physicians, first responders, and accident
and emergency departments

15. PARTNERSHIP WITH PROGNICA LABS –
MIDDLE EAST
PIRL LABS

16. CT MACHINE SCHEDULING ANALYTICS –
ASSUMPTIONS
• CT machine are assigned to patients based on appointment taken by the patient in hospitals.
As is Scenario –
Priority also plays a significant role when emergency situation arises and scheduling changes accordingly in the hospital.
• Create a machine learning model using parameters which contribute for scheduling patients and predict vulnerable patient who need immediate assistance.
• Do statistics on essential parameters to identify gap and eliminate wait period for patient.
• Create dashboard on CT machine operation and effective utilization thereby refreshing dashboard daily to showcase the numbers.
To be Scenario –

17. SCOPE OF WORK
• CT Machines involved-We had taken 3 CT Machines
for our study.
• Patient allergic to contrast material.
• Integration of RIS and HIS to access the data.
• Is contrast is given or not during the scan.
• Is further Scan required when lesion found in scan.
• Gender.
• Age.
• Daily scans taken by each CT Machine.
• Procedure Name.
• Time taken for each scan taken by CT Machine.
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• Parameters taken for Visualization

18. APPROACH
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Smart Data Visualization – Finding Insights
• From this visual we could see that CT Chest scan is
done more during the day.
• From the second visual it’s clear that CT machine 1
takes highest number of scans during the day
• From the third visual we see that female patients are
more frequent in a day.
• From the fourth visual we see that people at the age of
45 -75 take more scans in a day.
• We also see that when more technologist are involved
during a scan then it increases the speed of the
process thereby accommodating more scans in a day
which in turn increase the efficiency of CT Machine.

19. Hon. PM India, Shri Narendra
Modi Ji
Hon Union Min MOHFW
Dr.Mansukh Mandya
Saurabh Sinha
CEO EMIDS
Balajee Sethuraman
COO EMIDS
Collaboration on Healthcare, Lifesciences
and Pharmaceuticals
With the Union Government of India –
Ministry of Family Welfare and Health

20. NATIONAL HEALTH
MANAGEMENT
SYSTEM
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21. CONNECTED PATIENT JOURNEY
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1 2
3 4
5
Rover
Facial Recognition
Vending Machine
Alexa
Mitri Robot
• Meet and Greet
• Face Capture
• User Information
• Dispatching Customized materials
• Access cards, Masks, Tokens, Vouchers, Tablets,
Medical Gloves etc
• Personal Assistant
• Pre-set FAQ’s
• Immediate Actions / SOS
• Crowd Analytics, Social Distancing alerts, People counting.
• Movement and Monitoringcontrol activities
• Access Points – Secure Bay / Area entry and exit
• Integrated with Vending machine for dispatching
items
• Remote Monitoringand Security / Live
CCTV
• PA System / 2-way intercoms
Virtual Reality
• Trainings
• Awareness Programs
• Experience Centre
• Virtual Walkthrough
1
2
3
4
6
5
DATA CAPTURE DEVICES
DATA UTILIZATION DEVICES
Facial Data, E-mail ID, Mobile Number
Feedback, Ratings, Surveys
Object Detection and Tracking
Facial Data, RFID, UPI
Facial Data

22. CATEGORIES OF WEARABLES BY MARKET SHARE
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Copyright Emids 2022 |

23. BARRIERS TO ADOPTION
Individual Privacy Rights:
• This becomes more of an issue as wearable
generate more data, including, potentially, sensitive
health data.
Data Management and Security Challenges:
• There are clearly challenges for firms, and potential
opportunities for data management companies,
surrounding the organization of the potentially vast
quantities of new information created by wearables.
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Cost Challenges:
• With more feature add-ons the cost of the individual
devices eventually go up and are also prone to physical
damages and services if not cautiously handled.
Device abandonment:
• Studies have found that significant proportions of
users, up to a half, stop using the devices within six
months.
Regulatory Issues:
• Users will also have to contend with new regulatory issues,
as they gather more data. For instance, they will have to
ensure that new forms of data, collected from wearables,
are managed with consent as per regulations.
Workplace Monitoring:
• Clearly wearables connected to employer's IT systems,
potentially allow 24 hour employee monitoring, and
therefore new systems to ensure worker privacy at times
may be needed.
Copyright Emids 2022 |

24. Specific Theme and Uniqueness –
Lack of a single platform
The Problem Statement:
“On-demand connectivity
platform for real time subject
monitoring “
Problem
Statement
Customer
Segment
FIT
INITIAL ASSUMPTION
CARE PROVIDER
PAYER
WELLNESS PROGRAM MANAGERS
PHARMA

25. WHY MIDDLE EAST IS A MELTING POT OF SMART
HEALTHCARE
25
Market
Overview
Government initiatives to encourage
medical tourism, evolving health
insurance policies, growing propensity
among the local population to consume
digital health services
Saudi Arabia, Israel and UAE have
the most attractive healthcare
market in the Middle East Region
Middle East healthcare market is
growing at 10%, which is twice as
fast as the global healthcare
market
Increased instances of
lifestyle related diseases
combined with growing
consumerism
Health Tech Companies
Payers- Health Insurance Companies
Life Science Players
Healthcare Providers Challenges:
• Geopolitical instability in Qatar vs rest of
ME
Government Initiatives:
• Public-Private Partnerships
• Tax Sops/Benefits
• Business Thriving Environment
• Ease of doing business
• Visa

26. OPERATIONS 300BN – UAE LIFESCIENCE PARK
Copyright Emids 2022 | 26
• The pharmaceutical industry is a vital part of the UAE
Industrial Strategy, also known as Operation 300bn, in
terms of expansion forecasts, industrial potential, and
long-term economic impact.
• It is expected that the local pharmaceutical industry will
grow in value to reach more than $4.5 billion by the end
of 2021.
• Backed by the Abu Dhabi Government, the Park is the
premier life science industry hub in the region, fostering a
bio-pharmaceutical and life sciences nucleus.
• https://youtu.be/PJE1i-xzl9s