Decision Support in the Context of a Complex Decision Situation

03/02/2020
by   Teus H. Kappen, et al.
0

The aim of a clinical decision support tool is to reduce the complexity of clinical decisions. However, when decision support tools are poorly implemented they may actually confuse physicians and complicate clinical care. This paper argues that information from decision support tools is often removed from the clinical context of the targeted decisions. Physicians largely depend on clinical context to handle the complexity of their day-to-day decisions. Clinical context enables them to take into account all ambiguous information and patient preferences. Decision support tools that provide analytic information to physicians, without its context, may then complicate the decision process of physicians. It is likely that the joint forces of physicians and technology will produce better decisions than either of them exclusively: after all, they do have different ways of dealing with the complexity of a decision and are thus complementary. Therefore, the future challenges of decision support do not only reside in the optimization of the predictive value of the underlying models and algorithms, but equally in the effective communication of information and its context to doctors.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/01/2021

Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens

Major depressive disorder is a debilitating disease affecting 264 millio...
research
01/23/2018

The Role of Spreadsheets in Clinical Decision Support: A Survey of the Medical Algorithms Company User Community

This paper presents and discusses the results of a small scoping survey ...
research
10/20/2020

Predicting future state for adaptive clinical pathway management

Clinical decision support systems are assisting physicians in providing ...
research
10/30/2022

Explainable Predictive Decision Mining for Operational Support

Several decision points exist in business processes (e.g., whether a pur...
research
01/31/2020

Design Principles and Clinician Preferences for Pharmacogenomic Clinical Decision Support Alerts

OBJECTIVE: To better understand clinician needs and preferences for the ...
research
06/19/2019

Developing an Evidence-Based Framework for Grading and Assessment of Predictive Tools for Clinical Decision Support

Background: Clinical predictive tools quantify contributions of relevant...

Please sign up or login with your details

Forgot password? Click here to reset