In the ever-evolving technology landscape, organizations constantly find themselves at a crossroads when it comes to implementing new systems. One crucial decision they face is whether to leverage a "solution...
By focusing on data flow and accountability, and leveraging proven solutions like APIs and CGI's expertise, stakeholders can navigate the complexities of the program and ensure its success
The Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence, issued this past October, delineates a comprehensive framework for responsible AI development and deployment. This landmark order underscores the imperative...
Whether it's a chatbot on a doctor's website or SMS updates on an insurance claim, emerging technologies like AI and automation are integral to how we experience healthcare today. But...
We need machine learning models to make predictions and be transparent in their explanations of these predictions. Explainable AI (XAI) is essential research to enable users and stakeholders to interpret...
Planning and measurement are key ingredients of a successful move to interoperability.
This year can and should be the Year of Health Data Interoperability (HDI). HDI in America has never been more important for the effective and efficient delivery of high quality...
Artificial intelligence (AI) has been adopted by many industries as an important method for answering business questions. This powerful decision-making technique is extremely valuable to the healthcare industry. Responsible AI...
Editor’s note: The following is a glimpse at the art of the possible with a particular focus less on the enabling technology but more on the impact of technology on...
Employ intelligent automation to drive value in life sciences quality operations The biggest misconception around the use of intelligent automation (IA) is that its aim is to replace people. In...
