News | Clinical Decision Support | March 02, 2016

IBM Watson Health to Acquire Truven Health Analytics for $2.6 Billion

Deal marks IBM’s fourth major health data-related acquisition in the past year

IBM Watson Health, acquisition, Truven Health Analytics

March 2, 2016 — IBM Watson Health announced plans Feb. 18 to acquire Truven Health Analytics, a leading provider of cloud-based healthcare data, analytics and insights, for $2.6 billion. Truven will bring more than 8,500 clients, including U.S. federal and state government agencies, employers, health plans, hospitals, clinicians and life sciences companies, to the IBM Watson Health portfolio.

Upon completion of the acquisition, IBM’s health cloud will house one of the world’s largest and most diverse collections of health-related data, representing an aggregate of approximately 300 million patient lives acquired from three companies. IBM plans to integrate Truven’s extensive cloud-based dataset spanning hundreds of different types of cost, claims, quality and outcomes information with its existing datasets.

Through the Watson Health Cloud, healthcare organizations will be able to take previously disparate datasets, including vast amounts of unstructured data, and combine them together to create unique insights that help inform a broad range of health decisions.

Truven Health Analytics represents IBM’s fourth major health-data related acquisition since launching the Watson Health unit in April 2015. Upon close, IBM will have invested more than $4 billion to acquire and build an array of cognitive healthcare capabilities intended to help professionals improve health outcomes, control costs and advance value-based care solutions. 

Upon close, the acquisition of Truven will bolster Watson Health’s global talent footprint to more than 5,000 employees, including hundreds of clinicians, epidemiologists, statisticians, healthcare administrators, policy experts and healthcare consultants who will join the IBM business unit. Truven’s cloud-based technology, methodologies and health claims data will be integrated into the Watson Health Cloud over time.

The deal is projected to close later this year, subject to satisfaction of customary closing conditions and applicable regulatory reviews.

For more information: www.ibm.com/watsonhealth, www.truvenhealth.com

Related Content

The Candelis ImageGrid Plus PACS Server is an ultra-high-performance platform that can support high volume healthcare environments of 1,000 plus modalities
News | PACS | February 12, 2020
February 12, 2020 — The Candelis ImageGrid Plus...
Varian announced it has received FDA 510(k) clearance for its Ethos therapy, an Adaptive Intelligence solution. Ethos therapy is an artificial intelligence (AI)-driven holistic solution that provides an opportunity to transform cancer care.
News | Image Guided Radiation Therapy (IGRT) | February 11, 2020
February 11, 2020 — Varian announced it has received FDA 510(k) c
PaxeraHealth enterprise imaging, PACS, VNA solutions
News | Enterprise Imaging | February 11, 2020
February 11, 2020 — Enterprise Imaging developer PaxeraHealth
An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019.

An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019. Photo by Dave Fornell.

Feature | Artificial Intelligence | February 07, 2020 | Sanjay Parekh, Ph.D. 
February 7, 2020 – At the 2019 Radiological Society...
Infervision’s deep learning medical imaging platform is helping screen patients for the coronavirus in China. It acts as second pair of eyes to identify multiple diseases from one set of chest scans. The artificial intelligence (AI) can provide a complete view of the nodule, including volume and density.

Infervision’s deep learning medical imaging platform is helping screen patients for the coronavirus in China. It acts as second pair of eyes to identify multiple diseases from one set of chest scans. The artificial intelligence (AI) can provide a complete view of the nodule, including volume and density.

News | Artificial Intelligence | February 04, 2020
February 4, 2020 — Since January 2020, the...
Qynapse, a medical technology company, announced that it received U.S. Food and Drug Administration (FDA) 510(k) clearance for its QyScore software
News | Information Technology | February 04, 2020
February 4, 2020 — Qynapse, a medical technology company, anno
While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology IT vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with internet connection and pull images from radiology and surgery.

While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology information system vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with an internet connection and able to pull in images from both radiology and surgery. 

Feature | Enterprise Imaging | February 02, 2020 | Steve Holloway
The growing influence and uptake of electronic medical records (EMRs) in healthcare has driven debate over the future

Cloud-scale storage architecture is key to orchestrating highly secure, reliable and accessible data systems using affordable, efficient and sustainable approaches.

Feature | Information Technology | February 01, 2020 | By Tyna Callahan
In healthcare, critical systems are being used to deliver vital information and services 24/7/365.