gic presentation-tomson varghese-rl solutions
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SITUATIONAL ANALYSISEmerging Technologies in Healthcare
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Robotics
Technology
VR Therapy
Artificial
Intelligence
3D Bio-printing
NeuromorphicsWearable
Sensors
Virtual
Telemedicine
Genetic
Engineering
Technology – greatest change agent in the modern world
Which of these advancements signify highest return or potential?
AGENDA
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54321Implementation
Key Business
Issue/Challenge
Industry
Analysis
Insights &
Recommendations Synthesis/Q&A
KEY BUSINESS ISSUE+ Subsidiary Issues
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INCORPORATE THE
PATIENT’S VOICE IN
THE HEALTHCARE
DELIVERY MODEL BY
DEVELOPING RL’s
NEXT CUTTING-
EDGE INITIATIVE
TH
E C
HA
LLEN
GE
RISING WAIT TIMES
POOR ALLOCATION OF RESOURCES
RELIABILITY OF DIAGNOSES
PATIENT CONCERNS
INDUSTRY ANALYSISHealthcare Industry – Key Insights
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9.51(USD)TRILLION
$
Global Healthcare
Industry Expenditure(PwC Global Entrants, 2015)
Technology
advancements in the
global healthcare
sector is estimated to
increase by about
33% by 2020
33
9.6%
of GLOBAL GDP
41%
INDUSTRY ANALYSISU.S. Healthcare Industry
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Medicaid Spending Forecast in U.S. (2013-2020)
The U.S. spends more
than 17% of its GDP on
health care (2014), which
is estimated to grow to
about 25% by 2020.
253.09(USD) TRILLION
$
U.S. Healthcare Industry
Expenditure
U.S. Healthcare Industry
Market Size
2.24(USD) TRILLION
$
INDUSTRY ANALYSISGrowing Foes of the U.S. Healthcare Sector
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81%
160HOURS
“81% of doctors feel that they are either over-extended or at full
capacity in patient care, with 44% planning to cut back on the number of
patients they see”
(Physicians Foundation, 2014)
“In the U.S alone, up to 15% of medical diagnoses
are inaccurate or incomplete, leading to
many avoidable deaths.”
(American Journal of Medicine, 2008)
“It would take 160 hours of reading a week just to keep
up with new medical knowledge as it’s
published, let alone consider its relevance or
apply it practically.”
(Sloan Kettering, 2013)
15%
450,000 DEATHS PER YEAR
WHAT’s NEXT?How can RL Solutions cater to the Patient’s Voice?
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VELOCITYCOGNITIVE COMPUTING
The New RL7 Suite
COGNITIVE COMPUTINGArtificial Intelligence (AI) based Analytics
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HUMANOID
Taking a human approach to solving
problems; understand human language
structure & semantics
DYNAMIC
Uses ‘Deep Learning’ combined with pattern recognition to generate
evidence-based hypotheses
SOPHISTICATED
Collaboration of the best minds; adapts & learns continuously;
builds medical intelligence database
APPLICATION MANAGEMENT
LEAN DATA INTEGRATION
RFID TECHNOLOGY
EMR SOFTWARE
VELOCITYDeveloping the Solution
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Historical Data
Real-time Data
Medical Research
VELOCITY
COGNITIVE COMPUTING
Real-time Diagnostics
Tool in a user-friendly
and visual format
OUTPUTSINPUTS
CRITICAL SUCCESS FACTORSCreating Business Value for Healthcare Providers
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Better Decision Making
Competitive Advantage
Early Adopter
Advantage
Better Customer
Experience
Active Consumer
Participation
THE CHRONIC CONCERNVelocity in Action in Oncology
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2billionpeople
Worldwide struggle with chronic illnesses like cancer, heart disease and diabetes
Global population: 7.1 billion
63%
…of those 2 billion people, 63% actually die of chronic illness
CANCER INCIDENCEInvasive Form of Cancer by Age
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3x“The global population age 60 and above is expected
to more than triple by 2050.”
(Deloitte Global Healthcare Outlook, 2014)
VELOCITY IN ACTIONU.S. Oncology Industry Potential
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28%
3.8TIMES
28%
“The number of practicing oncologists is set to
increase by 28% in the next decade, yet the
demand for cancer care is set to double.”
(American Society for Clinical Oncology, 2014)
“Studies show that on average in the U.S there are 3.8 oncologists per
100,000 people.”
(American Society of Clinical Oncology, 2014)
“Studies show that misdiagnoses rates in
general are reaching up to 28%, and up 44% for
certain types of cancer.”
(Journal of Clinical Oncology, 2013)
IMPLEMENTATIONBridging Strategy and Investment
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Contract Phase: Decision
to work together
(Apr-Jun 2015)
SHORT-TERM (4 MONTH PLAN) LONG-TERM (3 YEAR PLAN)
DATA WAREHOUSING
& CURATION
(July 2015)
WORK WITH GOVT: TO
GATHER PATIENT EHR
(Jul-Oct 2015)
IDENTIFY PARTNERS & IMPLEMENT
RFID TECH IN VARIOUS HDC
(Jul-Dec 2015)
CONTINUOUS LEAN
DATA MANAGEMENT
(2015 onwards)
RECRUIT AI-SPECIFIC
SOFTWARE DEVELOPERS
(July 2015)
SOFTWARE
DEVELOPMENT
DATA
INTEGRATION
INITIATE DEVELOPMENT & INTEGRATE WITH API
(Sept 2015-Jan 2018)
READY FOR
MARKET (2018)
PILOT TESTING &
EVALUATION
(Jun-Sept 2017)
SYNTHESISImagination Meets Reality
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INCORPORATING
THE PATIENT’S
VOICE BY USING
COGNITIVE
COMPUTING IN THE
HEALTHCARE
DELIVERY MODEL
VELO
CIT
Y
INCREASED REVENUES[Rapid Response Increased Patient Turnover]
FEWER DOCTORS NEEDED[Velocity Assist]
Ultimately,
SAVE MILLIONS OF HUMAN LIVES
THE RELEVANT BENEFITS OF VELOCITY FAR OUTWEIGH THE ASSOCIATED COSTS
Appendix 1FINANCIAL IMPACT – Projected ROI
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$10.66ORGANIZATIONS THAT USE ANALYTICS GET
FOR EVERY $1 THEY SPEND ON ANALYTICS
$18.71BUT WITH COGNITIVE COMPUTING, FIRMS ARE PROJECTED TO GET
FOR EVERY $1THEY SPEND ON (AI) CENTERED ANALYTICS
Appendix 2RISK OVERVIEW – Mitigating Significant Risks
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RISKS
1
MITIGATION
1. Data security/ patient info: privacy
2. Lack of proficient IT personnel
3. High dependency on digitalization
4. Compatibility with existing systems
Likelihood
Imp
act
low
low
med
hig
h
med high
1
2
3
4
Implement multiple security layers & develop
internal security controls
2
3
4
Hire IT consulting firms with expertise in required
development areas
Implement protocols to prevent data breaches or
unavailability of resources during power outages,
system corruptions, electronic failure, etc.
Hire IT Strategists/Solution Architects and other IT
staff to integrate existing systems with Velocity
Appendix 3INPUTS – Variables related to Diagnosis
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Fever; dizziness; abdominal pain; back pain; cough
Diabetes; breast cancer; colorectal cancer; grave’s disease
Hypertension; hyperlipidemia; hypothyroidism; frequent UTI; smoking
Blood pressure; heart rate; restoration rate; temperature; pain score
Pravastatin; Lasix; Aspirin; chemo-therapy; anti-emetics
Symptoms
Patient History
Clinical Findings
Medications
Family History
Appendix 4OUTPUTS – Infographics/Digital Dashboards
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Measured by type of
illness/disease alongside level of
confidence.
User is able to “click” on diagnoses
to learn about the connections the
VELOCITY software has made.
Medical staff can discover
supporting academic studies and
expand level of knowledge.
Patients can learn about their
disease/illness and be more
involved in the diagnostics process.
CANCER
3A
CANCER
7C
CANCER
4A
CANCER
1B
79%
52%
28%
13%
Appendix 5COST PROJECTIONS
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RECRUITMENT PHASE
DATA WAREHOUSING PHASE
RFID TECH IMPLEMENTATION
DATA CURATION PHASE
DATA INTEGRATION PHASE
PILOT TESTING & EVALUATION
MARKETING FOR LAUNCH
$100 K
$5MM - 9 MM
$10 MM – 45 MM
$2 MM
$5 MM
$10 MM
$3 MM
DEVELOPMENT PHASE UNKNOWN Feasibility Study to be conducted