Watson Health
Articles by Watson
A smarter fight against fraud
This article defines the issue with fraud, waste & abuse, and highlights one of the key algorithms that workers use to decrease wasted funding in government health spending.
How governments are driving digital innovation in health and human services
IBM Watson Health was recently featured on the podcast FCW Expert Voices in a discussion about how ...
Clinical trial matching: the frustration of matching patients to cancer research begins with data issues — and can end with artificial intelligence
If you work in oncology or cancer clinical trial coordination in the US, you already know the ...
Forrester names IBM a leader in enterprise health cloud
Healthcare organizations face challenges as they move their workloads to cloud and incorporate data into their decision-making, including data integration, patient matching and risk stratification. In a recent evaluation, IBM has been named by ...
Three ways to run a more efficient drug trial
Focusing on drug trial efficiency can go a long way towards cutting costs and reducing the impact of trial failures and delays on the bottom line.
Data: friend, foe or both? How life sciences leaders can benefit from data proliferation
Companies could benefit from using the wealth of intelligence to optimize the product development ...
Maximize your drug’s potential with data
From the earliest stages of discovery through treatment delivery, analytics and insights have the potential to inform and enhance every stage of the drug development and commercialization process.
Clinical trials don’t fail fast enough
The roughly $2.6 billion spent on developing one new drug reflects the fully capitalized costs of studying compounds that ultimately fail to reach the market.
Streamline your medical imaging operations
Connecting with referrers and payers often involves a large amount of time and energy to deal with faxes, phone calls and paperwork to confirm clinical data or secure preauthorizations — all in an effort to head off claim denials.
Image shuffling method for reading mammograms may help improve radiologists’ accuracy and speed
There is a way of viewing mammograms that may help radiologists see the differences they might ...
No predictions needed
Experts have predicted that solutions featuring artificial intelligence would help oncology professionals in advancing research, improving clinical outcomes, and optimizing their operational processes
Transformation takes time, but you can’t wait
Oncology professionals need to prepare for field advancements that will transform their work. However, transformation can take time and professionals are facing significant hurdles today.
