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BMC Medical Informatics and Decision Making
Published in: BMC Medical Informatics and Decision Making 3/2020

Open Access 01-07-2020 | Research

Modelling clinical experience data as an evidence for patient-oriented decision support

Authors: Junyi Yang, Liang Xiao, Kangning Li

Published in: BMC Medical Informatics and Decision Making | Special Issue 3/2020

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Abstract

Background

Evidence-based Clinical Decision Support Systems (CDSSs) usually obtain clinical evidences from randomized controlled trials based on coarse-grained groups. Individuals who are beyond the scope of the original trials cannot be accurately and objectively supported. Also, patients’ opinions and preferences towards the health care delivered to them have rarely been considered. In this regards, we propose to use clinical experience data as an evidence to support patient-oriented decision-making.

Methods

The experience data of similar patients from social networks as subjective evidence and the argumentation rules derived from clinical guidelines as objective evidence are combined to support decision making together. They are integrated into a comprehensive decision support architecture. The patient reviews are crawled from social networks and sentimentally analyzed to become structured data which are mapped to the Clinical Sentiment Ontology (CSO). This is used to build a Patient Experience Knowledge Base (PEKB) that can complement the original clinical guidelines. An Experience Inference Engine (EIE) is developed to match similar experience cases from both patient preference features and patient conditions and ultimately, comprehensive clinical recommendations are generated.

Results

A prototype system is designed and implemented to show the feasibility of the decision support architecture. The system allows patients and domain experts to easily explore various choices and trade-offs via modifying attribute values to select the most appropriate decisions.

Conclusions

The integrated decision support architecture built is generic to solving a wide range of clinical problems. This will lead to better-informed clinical decisions and ultimately improved patient care.
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Metadata
Title
Modelling clinical experience data as an evidence for patient-oriented decision support
Authors
Junyi Yang
Liang Xiao
Kangning Li
Publication date
01-07-2020
Publisher
BioMed Central
DOI
https://doi.org/10.1186/s12911-020-1121-4

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