Watson Health: get the facts
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 for their patients. In oncology, Watson is at work supporting cancer 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 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.
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.
We have 80 AI Services that we and our clients can access to build offerings. For example:
- Annotator for Clinical Data. One power of Watson is its ability to read and understand unstructured data – 80% of healthcare data is unstructured. Our natural language processing reads clinical text from any source to identify, categorize, and code medical and social concepts. This is useful in analytics with a much broader set of data, and provides users direct access to more information, and improves processes like coding and alerting.
- Insights for Patient Data is a service that identifies the problems contained in a patient’s historical medical record, both in the structured and unstructured text. It summarizes the history of their care around those problems, and provides a cognitive summary of a patient’s record.
- Patient Similarity identifies patients who are similar to a given patient in a clinically meaningful way and identifies a measure of clinical similarity between the patients. This allows us to create dynamic patient cohorts, rather than static patient cohorts, and enables an understanding which care path works better for a given group of patients.
- Medical Insights enables clients to find information in unstructured medical literature to support hypotheses and to help in the discovery of new insights. Watson can read through a complete set of medical literature, like Medline, and identify the documents that are semantically related to any combination of medical concepts.
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.
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 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.
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:
- Watson Health has more than 15,000 clients and partners.
- Today, Watson Health cognitive offerings have impacted care or social services for more than 295,000 people.
- We have 230 million clinical and claims lives in our data lake.
- More than 50 peer reviewed publications, posters, and abstracts support Watson Health cognitive offerings and 500+ pieces of scientific evidence that demonstrate how our AI data and analytic tools are being used by clients and partners in healthcare and life sciences.
- IBM has more than 2,500 active granted and pending U.S. patents in healthcare and life sciences. 400 of those are specific to Watson Health.
Key Study Data:
- In January 2018, the Annals of Oncology published a study by Manipal Hospitals that found Watson for Oncology was concordant with the hospital’s multidisciplinary tumor board in 93 percent of breast cancer treatment decisions.
- In November 2017, Acta Neuropathologica published a study by Barrow Neurological Institute that found Watson for Drug Discovery had successfully identified 5 RNA-binding proteins that had never before been associated with ALS.
- In November 2017, the journal The Oncologist published an important study led by oncologists at the University of North Carolina’s Lineberger Comprehensive Cancer Center, who tested Watson for Genomics on 1,018 retrospective patient cases. More than 99 percent of the time, Watson agreed with the physicians, but in more than 300 cases, Watson found clinically actionable therapeutic options that the physicians had not identified.
- In July 2017, Neurology Genetics published a study that found Watson for Genomics accurately interpreted whole genome sequencing data for a glioblastoma patient in 10 minutes vs. 160 expert human hours.
- In June 2018, Mayo Clinic physicians presented a poster presentation at the ASCO Annual Meeting, reporting that Watson for Clinical Trial Matching boosted enrollment in breast cancer trials by 80% following implementation (to 6.3 patients/month, up from 3.5 patients/month in the immediate 18 months prior). Furthermore, enrollment was increased to 8.1 patients/month when including accruals to phase I trials with breast cancer cohorts in the experimental therapeutics program.
- In June 2018, new data presented by Medtronic demonstrated the utility of Sugar.IQ in a real-world setting (Abstract: Real-World Assessment of Sugar.IQ with Watson—A Cognitive Computing-Based Diabetes Management Solution). The study found that people with diabetes using the Sugar.IQ app spent 36 more minutes per day in healthy glucose range compared to before they used the app. This included 30 minutes less time in hyperglycemia (>180 mg/dL) and 6 minutes less time in hypoglycemia (
- Watson for Oncology is trained in 13 cancer types.
- Watson for Genomics supports genomic interpretation for any cancer type.
- Watson for Clinical Trial Matching is supporting breast cancer care at the Mayo Clinic and is being expanded for investigator use.
- Watson for Drug Discovery now features 12 new functions including an enhanced user experience, PubMed open access, and gene candidate generation.
- Watson Health launched IBM® MarketScan® Explorys® Claims-EMR Data Set. We combine clinical and claims data to create a new longitudinal view across all settings of care, with the ability to deep dive into patient vital signs, symptoms, physician orders, and outcomes.
- Watson Care Manager has 147,000 lives licensed. Our Government and Health and Human Services business runs 156 government programs across the globe, touching 170 million individuals with our portfolio and counting.
- Watson Imaging Clinical Review launched in 2017, and won the 2017 “Minnie” award for Best New Software from Auntminnie.com.
- Flexible Analytics provides action-driving insights that can help you better position your organization to optimize performance, manage population health and address compliance.
- Watson for Benefits helps individuals understand their benefit coverage and how to navigate the healthcare system.
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 firstname.lastname@example.org.
- Watson Health 100: 2017 Scientific Update Year in Review – http://ibm.biz/BdZ4rJ
- 2018 Q1 Scientific Update – http://ibm.biz/BdZLg2
- 2018 Q2 Scientific Update – http://ibm.biz/BdYraN
- 2018 Q3 Scientific Update – http://ibm.biz/BdYCZY
- 2018 Q4 Scientific Update – https://conta.cc/2E055Ta
- 2019 Q1 Scientific Update – https://ibm.biz/Bdz4yj