Watson is the only AI technology tackling a wide range of the world’s biggest healthcare challenges including cancer, diabetes, drug discovery and more. In oncology, Watson is at work supporting cancer care in more than 150 hospitals in 11 countries, 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
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.
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.
Artificial Intelligence
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.
News from our partners.