Companies looking to gain a competitive advantage in the digital world must create unique and dynamic experiences in order to drive both customer acquisition and continued retention.
In this technical paper, we will examine what existing solutions lack and review a few open source projects that should be considered for future success for operators.
Listen to Rob High, esteemed AI expert and IBM Fellow, and business leaders from a global automation company, one of Scotland’s largest banks and a US based hospital share details on how they are using conversational AI to transform customer service.
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.
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 this Forrester report to learn: Three ways that data, models and algorithms can go wrong, real-world examples of model-driven bias, Forrester’s framework for ensuring that models are “FAIR”.