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Helping doctors identify treatment options
ASCO estimates that by 2025, demand for oncology services will grow by 42%, while the supply of oncologists will grow by only 28%, creating a shortage of more than 1,487 oncologists.
Additionally, the amount of medical information available is doubling every three years and much of this data is unstructured. Physicians simply don't have time to read every journal that can help them keep up to date with the latest advances. Given the growing complexity of medical decision making, how can healthcare providers address these problems?
IBM Watson for Oncology, trained by Memorial Sloan Kettering, helps oncologists identify individualized evidence-based treatment options. It analyzes a patient’s medical information against a vast array of data, including expert training from MSK physicians, cancer case histories, established treatment guidelines, and published research to provide individualized, ranked, evidence based treatment options at the point of care.
Watson extracts patient case attributes and provides supporting rationale for the treatment options.
Watson at Work
Healthcare and business professionals share their perspectives on the promise of Watson's transformative technology, and its ability to completely change how patients interact with caregivers and consumers with brands.
Healthcare Industry Taps Into the Power of Watson
Healthcare professionals talk about Watson's cognitive capabilities and how it is allowing them to personalize patient care in a way that's never been possible before.
Memorial Sloan Kettering
Memorial Sloan Kettering trained Watson to synthesize vast amounts of data, such as physicians’ notes and reports, lab results and clinical research, to help community physicians identify treatment options for cancer patients
Watson at Wellpoint, Inc.
Health benefits company Wellpoint saw an opportunity to apply IBM Watson in a way that could improve the quality and efficiency of healthcare decisions.
Watson at MD Anderson
The University of Texas MD Anderson Cancer Center in Houston uses Watson's cognitive computing power to help clinicians uncover insights from its patient and research information.
In collaboration with Cleveland Clinic, IBM Research is developing a cognitive computing tool designed to help physicians and medical students make more informed and accurate decisions faster and to cull new insights from electronic medical records (EMR).
Helping planners recommend better investments
The challenges the financial services industry faces are complex. Regulatory measures, as well as social and governmental pressure for financial institutions to be more inclusive, have increased. And customers the industry serves are more empowered, demanding and sophisticated than ever before.
In addition, with so much financial information generated each day, it’s difficult to properly harness the right information to act upon.
The solutions? Deeper client engagement and a better understanding of risk profiles and the operating environment.
Major financial institutions are already working with Watson to infuse additional intelligence into their business processes. Watson is tackling data-intensive challenges across the financial services sector, including banking, financial planning and investing.
DBS Bank's relationship managers advise their wealth-management clients by analyzing large volumes of such complex data as research reports, product information, and customer profiles. DBS will apply Watson Engagement Advisor to analyze the relationship managers’ growing corpus of investment knowledge, identify connections to customers' needs, offer better advice and determine customers’ best financial options.
Watson can transform
Customer experiences via cost-effective, personalized advice, increasing customer satisfaction and attracting new capital. Watson is already starting to be used in customer service and as a wealth advisor.
Financial analysis and make analysts more productive and insightful through the vast amount of information it analyzes. Watson can also answer open-ended questions asked by users based on the data it has consumed.
Risk management and compliance by evaluating all cases against approved policies and guidelines and by understanding the complexities of risk exposure.
Helping retailers transform customer relationships
Disruption is everywhere in retail today. Customers, empowered by mobile devices and social networks that give them readier access to more information than ever before, have high expectations for service and satisfaction. And while today’s top retailers use Big Data to keep up with those expectations, their bigger challenge is efficiently and effectively analyzing this growing mountain of data for the insights that give them a competitive advantage.
With the power of IBM Watson’s cognitive computing, retailers can transform their business and re-imagine everything about the way they connect, transact, and engage with consumers.
Watson’s cognitive computing capabilities of analyzing massive amounts of unstructured data can help retailers reinvent their decision-making processes around pricing and purchasing. Today, a retailer using Watson can find insights in the data that might have escaped their notice, rather than relying on gut instinct.
Further, Watson’s unique ability to understand and answer questions in natural language makes it a cost-effective and scalable tool for analyzing and responding precisely to social sentiment, such as social interactions, blogs and customer reviews. And like a human being, Watson learns from experience and improves with feedback.
Watson can help draw insights from reams of unstructured information to help deliver a better experience. When a retailer understands its customers’ needs in greater detail, it can offer those customers more personalized and more satisfying experiences, increasing loyalty and conversions.
Watson can transform
The shopping experience by providing immediate access to new forms of data to help consumers become more informed.
Merchandising and supply networks by diagnosing business issues that drive better decisions around product and pricing.
Sales operations by empowering associates with new information in real time to create more engagement and efficiency.
Helping government help its citizens
For local, regional and national government, the exponential rise of Big Data presents an enormous dilemma.
Today’s citizens are more informed and empowered than ever, and that means they have high expectations for the value of the public sector serving them. And government organizations can now gather enormous volumes of unstructured, unverified data that could serve their citizens—but only if that data can be analyzed efficiently and effectively.
IBM Watson’s cognitive computing may help make sense of this data deluge, speeding governments’ decision-making processes and helping public employees focus on innovation and discovery.
Cognitive computing can help improve the service of the public sector in several ways, improving on slow and manual decision-making processes by employing such capabilities as decision-management, predictive and content analytics, planning, discovery, information integration and data management.
And Watson learns like a human. As it refines its own knowledge from its findings in vast sets of data and its interactions with the employees using it, it helps public employees improve process and policy.
Watson helps deliver personal service to citizens navigating complex processes. From these interactions, Watson learns the priorities of the public and helps inform policies that serve those interests. And with threats to security an ongoing problem, Watson can uncover patterns of activity that can help an agency interpret and address abnormal usage that may suggest an emerging problem.
Watson can transform
Citizens’ experience by providing cost-effective personalized advice that builds community engagement.
Policy and performance by helping employees deliver better service and make optimal decisions.
Public security by helping analysts and investigators discover the most relevant information.