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Smart technology to diagnose sepsis in children

Smart technology to  diagnose sepsis in children

Smart technology and artificial intelligence could be used to improve detection of sepsis in children, reports a new study published in the Canadian Medical Association Journal.

In developing countries, several recent deaths highlight the need for reliable, fast identification of early sepsis, as the condition can be lethal if not treated quickly.

“The optimal sepsis trigger tool needs to be rapid, objective, accurate and low cost; must easily integrate into the current workflow of a busy clinical setting; should require minimal training and require minimal additional effort; and offer a clear clinical benefit, particularly in community settings where the prevalence and clinical experience with sepsis is likely to be low,” writes Mark Ansermino, University of British Columbia and BC Children’s Hospital, Vancouver, BC, with coauthors.

Read Also:Sepsis care within an hour associated with reduced mortality in children: JAMA
The authors suggest that current smart technologies, like those used to program washing machines and automate medical imaging processing, could be utilized to automate data combinations of sepsis symptoms and other relevant information.

“The recognition and anticipation of sepsis represent an important opportunity for artificial intelligence to revolutionize health care, by optimizing algorithms to a degree of accuracy that would avoid alert fatigue and optimize efficiencies in workflow,” they write.

Better collection of patient outcome data and integration into medical records is needed.

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Vinay Singh

Vinay Singh

Vinay Singh joined Medical Dialogue as Desk Editor in 2018. He covers the medical speciality news in different medical categories including Medical guidelines, updates from Medical Journals and Case Reports. He completed his graduation in Biotechnology from AAIDU and did his MBA from IILM Gurgaon. He can be contacted at . Contact no. 011-43720751
Source: With inputs from Canadian Medical Association Journal

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