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Skip search results from other journals and go to results- 932 Journal of Medical Internet Research
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Factors Influencing Information Distortion in Electronic Nursing Records: Qualitative Study
Our study (currently under review) further investigated the manifestations of information distortion in ENRs through a qualitative approach (Jianan Wang, BS, unpublished data, January 2025). The findings revealed that information distortion permeates various aspects of ENRs, including assessments, care planning, interventions, incident management, and billing. This is particularly concerning as certain decision-making processes cannot tolerate inaccurate information, which may lead to severe consequences.
J Med Internet Res 2025;27:e66959
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Wang et al [27] used a human-in-the-loop method to predict suicidal ideation. In this type of intelligence system, the human is always part of the system and consequently influences the outcome in such a way that the human gives further judgment if a low-confidence result is given by an algorithm. This approach readily allows us to address problems and requirements that may not be easily trained or classified by ML.
J Med Internet Res 2025;27:e56080
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