Skip to main content

Table 6 Challenges in clinical decision-making

From: Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey

 

Item

Mean

SD

1

Sometimes the clinical scenario presented is different than the surgeon would have perceived during an independent assessment

3.61

0.95

2

Data are often incomplete

3.54

1.00

3

Patients are often informed of expected outcomes using data from aggregate patient populations without adjusting for their personalized risk profile

3.51

1.06

4

Recent experiences with a certain patient population or operation often affect disproportionately surgical decision-making than remote ones

3.50

0.98

5

Errors and mistakes are likely all along the way

3.49

1.09

6

Decisions must often be made before all relevant data can be retrieved

3.44

1.10

7

Potential outcomes are often predicted using personal beliefs rather than evidence-based guidelines

3.38

1.11

8

In-house calls happen often

3.35

1.00

9

It is often too complicated to form a complete list of all likely diagnoses, all life-threatening diagnoses, and all unlikely diagnoses that may be considered if the initial workup excludes other causes

3.34

1.04

10

A surgeon tends toward action when inaction may be preferable

3.28

1.07

11

The surgeon often falsely perceives that weaknesses and failures disproportionately affect their peers

3.17

1.01

12

It is often too complicated to recognize the strengths and limitations of available tests

3.12

1.02

13

Digital technologies (e.g., artificial intelligence) support how I take clinical decisions

3.10

1.14