Decision Support
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.
In the COVID-19 era, health systems recognize that existing data infrastructure is inadequate. Here are three things large datasets need to be useful.
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.
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.
Indigenous people and senior Australians are poised to benefit from this latest research project.
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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11:35 pm |
October 11, 2021
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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.
The system, which offers “radiologist-level accuracy”, has been designed as a decision support tool for clinicians.
The health system's chief analytics officer offers some lessons learned assessing CDS and clinical workflows to reduce the alert fatigue for providers.
The successful experience of United Rheumatology and its Normalized Integrated Community Evidence repository can be a lesson for other healthcare providers.