2016
DOI: 10.1155/2016/1425693
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Complementarity of Clinician Judgment and Evidence Based Models in Medical Decision Making: Antecedents, Prospects, and Challenges

Abstract: Early accounts of the development of modern medicine suggest that the clinical skills, scientific competence, and doctors' judgment were the main impetus for treatment decision, diagnosis, prognosis, therapy assessment, and medical progress. Yet, clinician judgment has its own critics and is sometimes harshly described as notoriously fallacious and an irrational and unfathomable black box with little transparency. With the rise of contemporary medical research, the reputation of clinician judgment has undergon… Show more

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Cited by 7 publications
(4 citation statements)
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“…Clinician judgment has been described as being notoriously fallible, irrational and difficult to comprehend [ 6 , 7 ]. As a result medical research has increasingly emphasized the need for evidence based medicine [ 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…Clinician judgment has been described as being notoriously fallible, irrational and difficult to comprehend [ 6 , 7 ]. As a result medical research has increasingly emphasized the need for evidence based medicine [ 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…A number of approved treatment options currently exist for BRAFmutant patients with unresectable or metastatic melanoma (MM), and effective diagnosis tools are available for assessing BRAF mutational status [1][2][3]. Clinician judgment drives individualized treatment decisions based on characteristics of the patient and of the disease [4]. Since multiple options exist, it is essential that treatment decisions are informed by relevant and contemporary clinical research, including efficacy and safety data.…”
Section: Introductionmentioning
confidence: 99%
“…This is consistent with what others have found. 24,25 We also expected there to be interest in population health, since health care is moving toward valuebased care creating greater interest in data analytics to improve management of the health of their patient population. 26 We did not expect there would be such interest across all clinic sizes, however.…”
Section: Facilitatorsmentioning
confidence: 99%