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Samuel N. Forjuoh

Researcher at Scott & White Hospital

Publications -  94
Citations -  3034

Samuel N. Forjuoh is an academic researcher from Scott & White Hospital. The author has contributed to research in topics: Poison control & Injury prevention. The author has an hindex of 27, co-authored 94 publications receiving 2677 citations. Previous affiliations of Samuel N. Forjuoh include Texas A&M Health Science Center College of Medicine & Texas A&M University.

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Burns in low- and middle-income countries: a review of available literature on descriptive epidemiology, risk factors, treatment, and prevention.

TL;DR: Continuous evaluation of promising interventions and those with unknown efficacy that have been attempted in LMICs, along with testing interventions that have proven effective in HICs in these LIMC settings, is needed to spearhead the move from data to action in preventing burns in LM ICs.
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Types and origins of diagnostic errors in primary care settings.

TL;DR: The types of diseases missed and the diagnostic processes involved in cases of confirmed diagnostic errors in primary care settings and whether record reviews could shed light on potential contributory factors to inform future interventions were determined.
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Traffic-related injury prevention interventions for low-income countries.

TL;DR: This paper reviews selected interventions and strategies that have been developed to counter trafficrelated injuries in HICs in terms of their effectiveness and their applicability to developing or low-income countries (LICs).
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Electronic health record-based surveillance of diagnostic errors in primary care

TL;DR: While physician agreement on diagnostic error remains low, an EHR-facilitated surveillance methodology could be useful for gaining insight into the origin of these errors.
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Electronic health record-based triggers to detect potential delays in cancer diagnosis

TL;DR: EHR-based triggers can be used successfully to flag patient records lacking follow-up of abnormal clinical findings suspicious for cancer, and could detect an estimated 1048 instances of delayed or missed follow- up of abnormal findings annually and 47 high-grade cancers.