Research Article
Hierarchical representation of differential diagnosis lists for clinical decision support systems
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2014.255785, author={Takashi Okumura and Masaki Tagawa}, title={Hierarchical representation of differential diagnosis lists for clinical decision support systems}, proceedings={Interdisciplinary Design of Pervasive Healthcare Applications}, publisher={ICST}, proceedings_a={IDPHA}, year={2014}, month={7}, keywords={differential diagnosis hierarchical representation}, doi={10.4108/icst.pervasivehealth.2014.255785} }
- Takashi Okumura
Masaki Tagawa
Year: 2014
Hierarchical representation of differential diagnosis lists for clinical decision support systems
IDPHA
ICST
DOI: 10.4108/icst.pervasivehealth.2014.255785
Abstract
Clinical decision support systems (CDSSs) can generate differential diagnosis lists that may contain hundreds of diseases. These lists grow in size as coverage expands to rare diseases, but large lists can easily become a burden on user cognition. To address this issue, we first outline the representations of differential diagnosis lists on current CDSSs, and then propose a novel approach that represents these differential diagnosis lists hierarchically, coupled with an al- gorithm for optimal initialization. Preliminary evaluation suggested that our proposed approach outperforms existing approaches with respect to search costs, particularly for large lists. This hierarchical representation should alleviate the cognitive load on user physicians and provide an efficient means to search through very large lists.