Bill Siwicki is Managing Editor of Healthcare IT News. Bill has more than 30 years of experience in journalism, with more than 16 years in healthcare IT and healthcare finance along with extensive expertise in mobile technology.
By Bill Siwicki 11:09 am February 14, 2020
The director of solutions architecture at a cloud vendor says the top threat is an insufficient protection of sensitive data both where physical and logical safeguards are implemented.
By Bill Siwicki 01:29 pm February 13, 2020
A majority believe healthcare is ahead of other industries in AI adoption, but 37% say healthcare’s pace of AI implementation is too slow, according to the new KPMG report.
By Bill Siwicki 12:34 pm February 13, 2020
The EMS system supports real-time data transfer and two-way communication to empower clinical decision making on the move. The AI capabilities will provide “transformative change,” an exec says.
By Bill Siwicki 12:29 pm February 12, 2020
Four experts in diagnostic imaging IT offer CIOs, CMOs and other leaders some best practices for making a complex technology work best for their own healthcare organizations.
By Bill Siwicki 12:40 pm February 11, 2020
The vendor aims to transform healthcare interoperability with faster onboarding, easier maintenance, higher availability and lower costs, a company VP contends.
By Bill Siwicki 12:24 pm February 10, 2020
Overall immunization process time at the hospital has dropped from about 48 hours per month to 2.5 hours. And four steps have been cut from the process.
By Bill Siwicki 02:20 pm February 07, 2020
A senior vice president at the content services and enterprise imaging vendor offers an in-depth look at these three trends and advises conference attendees on what to do.
By Bill Siwicki 11:22 am February 07, 2020
The general manager of IBM Watson Health talks digital transformation, cloud computing, the Internet of Things, blockchain, quantum computing and more.
By Bill Siwicki 11:48 am February 06, 2020
The new module targets factors that influence hospital readmissions for diabetic patients and predicts the likelihood of future patient readmissions.
By Bill Siwicki 11:35 am February 06, 2020
Its message to attendees will revolve around clinical documentation and how it is using AI, machine learning, NLP and more to ease physician workloads and enhance patient experiences.