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Surgical recommendations in the era of personalized medicine: What can we learn from patient preferences?
Author(s) -
Sullivan Stephanie A.,
Temkin Sarah M.
Publication year - 2019
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/cncr.32446
Subject(s) - regret , medicine , patient satisfaction , medical decision making , personalized medicine , patient participation , medline , family medicine , surgery , bioinformatics , machine learning , computer science , political science , law , biology
A formalized quantification of patient preferences in the decision‐making algorithm for women with advanced ovarian cancer may help patients and physicians with this complex decision. Ultimately, shared decision‐making and patient preferences may improve patient satisfaction and reduce regret about medical choices.