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

11Source: IBM Website