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Editorial
. 2018 Aug;79(2):400-402.
doi: 10.1016/j.jaad.2018.03.020. Epub 2018 Mar 21.

How data can deliver for dermatology

Katrina Abuabara  1 , Maryam M Asgari  2 , Suephy C Chen  3 , Robert P Dellavalle  4 , Sunil Kalia  5 , Aaron M Secrest  6 , Jonathan I Silverberg  7 , James A Solomon  8 , Martin A Weinstock  9 , Jashin J Wu  10 , Mary-Margaret Chren  11 ; Epidemiology Expert Research Group
Affiliations
Editorial

How data can deliver for dermatology

Katrina Abuabara et al. J Am Acad Dermatol. 2018 Aug.
No abstract available

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Figures

Fig 1.
Fig 1.
Example of a risk adjustment model. Risk adjustment models can incorporate multiple types of patient factors to help predict outcomes and make quality assessments more equitable. For example, if 2 dermatologic surgeons were to perform a wide local excision for melanoma and surgeon 1 treats a young, otherwise healthy individual and surgeon 2 treats an older individual with uncontrolled diabetes, a risk adjustment model could help to level the field when comparing postoperative outcomes for the 2 surgeons. SES, Socioeconomic status.
See this image and copyright information in PMC

References

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