Understanding data collection behaviour of mental health practitioners

Ali Rezaei-Yazdi*, Christopher D. Buckingham

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication


Failure to detect patients at risk of attempting suicide can result in tragic consequences. Identifying risks earlier and more accurately helps prevent serious incidents occurring and is the objective of the GRiST clinical decision support system (CDSS). One of the problems it faces is high variability in the type and quantity of data submitted for patients, who are assessed in multiple contexts along the care pathway. Although GRiST identifies up to 138 patient cues to collect, only about half of them are relevant for any one patient and their roles may not be for risk evaluation but more for risk management. This paper explores the data collection behaviour of clinicians using GRiST to see whether it can elucidate which variables are important for risk evaluations and when. The GRiST CDSS is based on a cognitive model of human expertise manifested by a sophisticated hierarchical knowledge structure or tree. This structure is used by the GRiST interface to provide top-down controlled access to the patient data. Our research explores relationships between the answers given to these higher-level 'branch' questions to see whether they can help direct assessors to the most important data, depending on the patient profile and assessment context. The outcome is a model for dynamic data collection driven by the knowledge hierarchy. It has potential for improving other clinical decision support systems operating in domains with high dimensional data that are only partially collected and in a variety of combinations.

Original languageEnglish
Title of host publicationInnovation in Medicine and healthcare 2014
EditorsManuel Graña, Carlos Toro, Robert J. Howlett, Lakhmi C. Jain
Number of pages10
ISBN (Electronic)978-1-61499-474-9
ISBN (Print)978-1-61499-473-2
Publication statusPublished - 31 Dec 2014
Event2nd KES international conference on Innovation in Medicine and healthcare - San Sebastian, Spain
Duration: 9 Jul 201411 Jul 2014

Publication series

NameStudies in health technology and informatics
PublisherIOP Press
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


Conference2nd KES international conference on Innovation in Medicine and healthcare
Abbreviated titleInMed-14
CitySan Sebastian


  • clinical decision support systems
  • data collection
  • influential variables
  • mental health
  • risk assessment
  • risk evaluation


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