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AI & ML Intelligence
By Andrea Fox | 12:04 pm | February 02, 2024
Artificial intelligence can help infusion centers lower patient wait times and reduce staff overtime, while supporting growth, says Ashely Joseph, vice president of infusion centers client services at LeanTaaS.
By Adam Ang | 01:37 am | February 02, 2024
Also, seven public medical centres in India will try out drone delivery of life-saving medicines and transfer of blood samples. 
AI & ML Intelligence
By Andrea Fox | 11:40 am | January 31, 2024
There's too little focus on governance, patient preferences and workforce needs among leaders seeking to implement generative AI, according to a new Deloitte survey of 60 healthcare executives.
By HIMSS TV | 07:00 am | January 30, 2024
Luis Ahumada, director of health data science and analytics at Johns Hopkins All Children's Hospital, explains why gathering high quality data for every population and validation are key to building valuable artificial intelligence models.  
By Andrea Fox | 11:24 am | January 29, 2024
PA Navigate will refer patients to services in their communities that address their gaps in social determinants of health, including food, shelter and transportation.
By HIMSS TV | 07:00 am | January 29, 2024
The cross-agency, cross-industry collaboration driving CMMI’s first truly interoperable payment model could improve oncology delivery for years to come, says the Digital Medicine Society's Jennifer Goldsack.
By HIMSS TV | 07:00 am | January 26, 2024
Artificial intelligence helps to create solutions for a variety of problems, including data summarization, audio processing and report interpretation, says Rob Luke, chief scientist at Ae Studio in Los Angeles.  
By Adam Ang | 10:01 pm | January 24, 2024
Andy Ta, director of Data Analytics and AI and chief data officer of Synapxe, shares how the national health tech agency empowers public health facilities and the healthcare workforce to be confident using AI and other new technologies.
By HIMSS TV | 07:00 am | January 24, 2024
Jeremy Petch, director of digital health innovation at Hamilton Health Sciences, discusses strategies for ensuring transparent and explainable AI.