IBM Watson Health was created to help solve some of the world's most pressing health challenges through data, analytics and AI. By combining human experts with augmented  intelligence, IBM Watson Health helps health professionals and researchers around the world translate data and knowledge into insights to make more-informed decisions about care in more than 300 hospitals and health organizations, and a large, growing body of evidence supports the use of Watson in healthcare.

Watson Health approach

Watson Health has a unique approach to the application of data driven technology in the market. It is the combination of our data, our cloud, and our AI services that build cognitive offerings for our partners and clients.

Data alone does not provide optimal insight. We spend a tremendous amount of time cleaning, curating, and normalizing data. We collate, design, and infuse risk & severity adjustment methodologies to create actionable and useful information. This makes the data ready to be analyzed and paired with AI services to prioritize and solve healthcare challenges. We bring our analytical power to our client's to help our clients create rich population health and value-based care programs. With proprietary models to approach challenges like cost of care and disease staging, we can find answers to complex questions like drivers of risk, predictors of healthcare expenditures, and risk adjusted mortality.

Health Approach

Health Approach Cloud

The Watson Platform for Health is specifically built for  health, and it enables our partners and clients to focus on what's important: health data analysis and discovery. It is built on the power of the IBM Cloud. In the Health cloud, we start with data protected by privacy regulations in every country where we operate. In IBM's cloud it is all about YOUR data. The IBM Cloud combined with the Watson Data Platform helps you to maintain ownership and helps you to protect your data. We build the IBM Cloud for AI services and cognitive technologies. Our cloud must protect your data and our cloud must enable our AI.

The unmet need

What is driving the need for Cognitive technologies in health? It is Data. Medical data is expected to double every 73 days by 2020. And, each person will generate enough health data in their lifetime to fill 300 million books. Physicians simply cannot keep up with the growing amount of information available to them.

In addition, there are growing challenges of physician shortage and physician burnout. Today, primary care physicians work on average 11.2 hours each day and 6 hours of that day is spent interacting with the Electronic Health Record. And, social determinants of health make up 70% of our health determinants. Where we live, how we eat, when we exercise, levels of stress, family support are huge factors in our overall health.

AI can make sense of the overwhelming amount of clinical data, genomic data, and social determinants of health data to find the best path for each patient.

The unmet need.

Data stewardship

IBM Watson Health is a healthcare company backed by powerful technology. As such, responsible data stewardship is core to our mission. We use the best data to train our solutions, we are transparent about how we train, and we believe your data is your data.

A client's data is their own, our agreements with clients are transparent and there is no requirement to relinquish their data or their insights for our benefit. We will always be transparent about how our AI systems were trained, the data sources that were used and how the training was completed.

Our mission is to improve lives and give hope by delivering innovation to address the world's most pressing health challenges through data and cognitive insights. Our progress is real, and our mission gives us purpose. To have a positive impact on humanity that is sustainable for the long term.

Data stewardship


The journey started in 2005 when Artificial Intelligence in healthcare was a Grand Challenge at IBM Research. That work at IBM Research was the foundation for Watson Health at our launch in April 2015 and remains foundational to our work today.


Watson Health made important progress:

70 peer-reviewed studies

More than 70 peer-reviewed studies, posters and abstracts that cover our Watson Health Ai offerings alone.

900 pieces of scientific evidences

Since 2017, more than 900 pieces of scientific evidence have demonstrated the science of Watson Health in the areas of research, real-world evidence and AI.

Key study data:

IBM Watson Health Scientific Update

In Jan 2018, Watson Health issued the “Watson Health 100,” the first scientific update highlighting a collection of the top one hundred studies, abstracts, posters and white papers from 2017, as identified by IBM’s clinical team under the leadership of Kyu Rhee, MD, IBM Watson Health chief health officer. At the end of each quarter, the clinical team packages up a sampling of scientific evidence from Watson Health and its partners from the previous quarter. To subscribe for regular updates, email kristi.bond@us.ibm.com.

Watson Oncology Clinical Trial Matching

Helps identify more patients for more trials in less time (formerly known as Watson for Clinical Trial Matching).

Watson for Oncology

Enables system-wide consistency while empowering oncologists to exercise control and use their expertise.

Watson for Genomics

Provides comprehensive content to enable molecular pathology laboratories to scale precision oncology programs.

Connect with us to learn more

Call us at 1-855-878-8361 | Priority code: Watson Health

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