Mayo Clinic started working with IBM Watson for Clinical Trial Matching in 2014. Over time, a team of Mayo experts determined optimal workflows and enhanced patient awareness about clinical trials. The system was implemented with a team of clinical research coordinators in the ambulatory practice for breast cancer.
Read this article to learn how Watson for Clinical Trial Matching has enabled Mayo to improve both enrollment metrics for breast cancer clinical trials as well as operational efficiency in its practice.
While cancer research is crucial to help the growing number of patients suffering from the disease, it is difficult to find enough patients that meet the criteria of clinical trials. Using spreadsheets to determine who would benefit from a new treatment can be slow and error prone.
Read this paper to find out how IBM Watson for Clinical Trials Matching is making a major difference.
In the competitive world of healthcare, how can your organization strengthen its position in the market? One potential way is through the use of smart imaging technology.
On so many fronts and in so many ways, healthcare organizations are at a crossroads — making critical decisions now that will have lasting consequences.
The ability to access patient data electronically has been a boon for physicians, but one glaring omission stands out. Despite their critical role in painting an accurate picture of the patient, medical images are largely absent from the EHR. As a result, organizations aiming to maximize their EHR investments must look outside the box for solutions that bring imaging into play.
Interoperable solutions help paint a more complete picture of a patient’s situation by enabling the viewing, sharing and storing of all types of imaging data.
The role of health system pharmacists is expanding under value-based care. In this interview, Dr. Tina Moen of IBM Watson Health discusses the role that pharmacists can play both at the bedside and in conversations bout population health to help improved outcomes and reduce costs.
In this interview, Jill Sutton of IBM Watson Health emphasizes the importance of providing clinicians with access to evidence-based information and discusses how artificial intelligence can help deliver that information more quickly at the point-of-care.
While data indicates a continued shift from inpatient to outpatient revenues, inpatient volume is still growing nationally at 2.3 percent and projected to continue at this level over the next 10 years due to population growth and aging—with spikes in some local markets. By reviewing data at localized market levels and even within service lines, healthcare organizations can better predict and plan for facility and service line needs in their specific markets.
Learn why golden records are the key to solid data quality and why your approach to achieving the single customer view (SCV) is equally important in this whitepaper by noted SQL Server MVP Stephen Wynkoop.
Forrester evaluated Watson Explorer's powerful machine learning and cognitive search capabilities with leading text analytics vendors. Watson Explorer is recognized as a leader for its accuracy of analytics, breadth and depth of functionality, ease of customization and scalability. Read the report to learn how Watson Explorer can help your organization gain actionable insights easily. Learn more.
Read Machine Learning for Dummies so you can understand machine learning fundamentals, make sense out of machine learning algorithms, and build your data science team to take advantage of this new technology. Learn more.