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1 d physicians to use these devices for prompt medical decision making.
2 treatment response is a pervasive concern in medical decision making.
3 mation into a report will offer new value in medical decision making.
4 eveal shortcomings of common perspectives on medical decision making.
5 er accuracy, faster speed, and lower cost in medical decision making.
6 gnosis among terminally ill patients impacts medical decision making.
7 he use of real-time pretest probabilities in medical decision making.
8 s a unique set of predictors that can aid in medical decision making.
9 reasingly important role in patient-centered medical decision making.
10 nsplant center characteristics predictive of medical decision making.
11 erences for degree of patient involvement in medical decision making.
12 k markers despite their potential to improve medical decision making.
13 ew the role of family interests in surrogate medical decision making.
14 terests as they are encountered in surrogate medical decision making.
15 improved prediction of prognosis and better medical decision making.
16 may represent an overly simplistic model for medical decision making.
17 mployed to determine prognosis and assist in medical decision making.
18 recognition of the need to consider cost in medical decision making.
19 s to hold MCOs accountable for their role in medical decision making.
20 the associations between various factors and medical decision making.
21 FN AUS did not significantly impact adjuvant medical decision making.
22 t, we review Bayes theorem in the context of medical decision making.
23 isk trade-offs of diagnostics that assist in medical decision making.
24 nd provide critical information required for medical decision-making.
25 Evidence-based medicine forms the basis for medical decision-making about accepting the patient as a
26 references for life-sustaining treatment and medical decision making among pediatric intensivists.
27 issues in younger complex patients, whereas medical decision making and care coordination predominat
28 eristics of observational studies can inform medical decision making and health policy, and it is cri
29 y and the general public about mechanisms of medical decision making and the interplay of physician a
31 ntion on the need for greater objectivity in medical decision-making and led to the Cochrane Collabor
32 patients, including confidentiality, shared medical decision making, and respect for patient autonom
33 s were avoided using SPECT/CT, compared with medical decision making based on the planar images alone
35 udies (n = 43) of instruments that evaluated medical decision-making capacity for treatment decisions
37 tudy is warranted of its potential effect on medical decision making, clinical outcome, and cost-effe
38 areas for accountability in ethical conduct: medical decision making, confidentiality, fiduciary obli
39 l dilemma in the context of complex clinical medical decision-making, during marked uncertainty for o
41 outcome of SRT and should prove valuable for medical decision making for patients with a rising PSA l
42 d set of evidence-based guidelines to assist medical decision making for this high-risk population gr
47 e concept of involving pediatric patients in medical decision-making, in both clinical and research a
51 t, for some, faith is an important factor in medical decision making, more so than even the efficacy
53 hical obligations to involve children in the medical decision-making process as much as the child's c
55 t the selection of supportive care, informed medical decision-making, prognostic considerations, repr
56 ethicists, and 41 percent of the experts in medical decision making recommended offering the less ef
60 ve jurors, medical ethicists, and experts in medical decision making to choose between two screening
61 s from a largely physician-directed model of medical decision-making to a collaborative model, which
62 decisions, in part because current models of medical decision making treat the surrogate as the exper
63 been a greater need to enforce evidence-led medical decision-making using available health care data
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