Literature DB >> 26414786

From Annoying to Appreciated: Turning clinical decision support systems into a medical professional's best friend.

Leslie Mertz.   

Abstract

There's a big difference between driving suggestions that come from a newly licensed, know-it-all teenager and those that come from a professional racecar driver who has spent years honing skills on the course. The first is one you just want to be quiet, and the second is one you actually want to speak up.

Mesh：

Year:  2015        PMID： 26414786     DOI： 10.1109/MPUL.2015.2456251

Source DB:  PubMed          Journal:  IEEE Pulse        ISSN： 2154-2287            Impact factor:   0.924


  2 in total

1.  Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing.

Authors:  Katharine E Henry; Roy Adams; Cassandra Parent; Hossein Soleimani; Anirudh Sridharan; Lauren Johnson; David N Hager; Sara E Cosgrove; Andrew Markowski; Eili Y Klein; Edward S Chen; Mustapha O Saheed; Maureen Henley; Sheila Miranda; Katrina Houston; Robert C Linton; Anushree R Ahluwalia; Albert W Wu; Suchi Saria
Journal:  Nat Med       Date:  2022-07-21       Impact factor: 87.241

2.  Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system.

Authors:  Bilge Mutlu; Suchi Saria; Katharine E Henry; Rachel Kornfield; Anirudh Sridharan; Robert C Linton; Catherine Groh; Tony Wang; Albert Wu
Journal:  NPJ Digit Med       Date:  2022-07-21
  2 in total

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