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Decision Support

By Tammy Lovell | 06:01 am | February 09, 2022
HIMSS Analytics awarded the Saudi Arabian hospital the highest level of validation for inpatient digital maturity.
By Mike Miliard | 11:24 am | January 21, 2022
The deal with the private equity firm is a "clear next step as IBM becomes even more focused on our platform-based hybrid cloud and AI strategy," said a Big Blue exec.
By Bill Siwicki | 02:04 pm | December 30, 2021
Manu Aggarwal of the Everest Group explains how the technology can help both caregivers and patients, and offers health IT leaders some valuable advice.
By Kat Jercich | 11:12 am | December 15, 2021
Evaluating algorithms' efficacy often takes a lot more effort, as Johns Hopkins Machine Learning and Healthcare Lab Director Suchi Saria explained, with tips, at the HIMSS Machine Learning and AI for Healthcare Forum.
By Joyoti Goswami | 12:23 pm | December 10, 2021
In the COVID-19 era, health systems recognize that existing data infrastructure is inadequate. Here are three things large datasets need to be useful.
By Bill Siwicki | 12:21 pm | December 08, 2021
Dr. Oleg Bess, a practicing physician and CEO of 4medica, discusses how technology and clinical informatics can help solve challenges such as duplication and overlay, and enable more effective decision support.
By Kat Jercich | 04:56 pm | November 29, 2021
SNOMED International says it will create and release an openly available International Patient Summary sub-ontology in the first half of 2022, aimed at promoting cross-border information sharing.
By Adam Ang | 02:40 am | November 25, 2021
Indigenous people and senior Australians are poised to benefit from this latest research project. 
By Mike Miliard | 04:34 pm | November 18, 2021
The new data science and AI center aims to "establish appropriate AI governance, set validation and documentation standards, detect inherent bias, ensure data integrity and promote AI literacy among caregivers."
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By Allscripts | 11:35 pm | October 11, 2021
It is frustrating for time-pressed clinicians to jump from one system to another to mine patient data, but now tried and tested solutions – which enable seamless connectivity between unrelated health systems – are becoming more widely available.