Final ibm team02 presentation - 221016
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Transcript of Final ibm team02 presentation - 221016
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IBM Watson Health
LB Chand Saloni VigSoma Sundar Vicky Zalpuri Vipul Verma
Team IBM 02| UCLA PGPX
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Executive Summary
In preparing for a future in which Artificial
Intelligence (AI) plays an important role, we
present recommendations on how IBM Watson can
translate big data insights into actionable plans to
improve quality of care and reduce healthcare
costs.
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IBM Watson : Transforming Healthcare
Increase revenue by 20% in 2020 by providing scalable, replicable
and affordable healthcare solutions by leveraging “IBM Watson”
AI.
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IBM Revenues declining, Profits steady
Exit low margin businesses
Accelerate investment in
analytics including R&D
Focus on implementation
and execution of cognitive
solutions
Source: IBM Website
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Why Healthcare
Medical data is expected to double every 73 days in 2020
80% of the medical data available today is unstructured
Less than 50% of the medical decisions meet evidence –
based standards
Growing demand for Predictive analytics
Social impact & reach – immediate access to medical
services including in remote locations
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Healthcare analytics capabilities
$4bn investment ; 4 strategic acquisitions
Access to data-driven applications and solutions
designed to advance health and wellness
Truven Health: Meaningful Use Quality Manager
(MUQM)
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Scalable Offerings
Engaged, flexible and improved connectivity – patients,
doctors, researchers etc.
Immediate access to curated, evidence based, disease-
specific content
Quick access to wellness information enabling proactive care
Lower medical costs
Enhance patient care experience
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Conclusion
Continue to scale up the AI ecosystem to transform
healthcare adopting new ways to enhance value based
care implementation as well as improving clinical
efficiency and patient engagement.
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“Some Companies are High Growth, We are High Value”
Ginni Rometty, CEO, IBM
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Appendix
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11Source: IBM Website