Usefulness analysis of a Clinical Data Repository design

Ong, Daphne E.; Frize, Monique; Gilchrist, Jeff; Bariciak, Erika; Ennett, Colleen M.

doi:10.1109/memea.2013.6549712

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Furthermore, to test the perceived usefulness of the CDR prototype in a hospital setting, a usability study was conducted at CHEO by our research group (Ong et al, 2013). A secure online survey was distributed to 209 physicians, 125 research institute investigators, and 35 research institute coordinators at CHEO through email; the team was hoping to secure at least 55 responses, but 88 replied (63 fully and 25 partially completing the survey).…”

Section: The Datamentioning

confidence: 99%

Integration of Neonatal Mortality Prediction Models into a Clinical Decision Support System

Martirosyan¹

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This thesis describes the development of neonatal mortality risk estimation models using Artificial Neural Networks (ANNs), the integration of these models into the Physician-Parent Decision Support (PPADS) tool, and the pilot study to test the PPADS tool.A set of data mining programs were created to automate the data preparation, the development of ANN models and the selection of models that satisfy the usefulness criteria specified by our clinician partners. These programs were used to classify neonatal mortality data (6% mortality rate) with the average sensitivity and specificity of 81% and 98% respectively.The mortality models were integrated with the PPADS tool to provide predictions about the risk of mortality for neonates admitted to the Neonatal Intensive Care Unit (NICU).The observational and survey study conducted with parents whose infant did not graduate (died) from the NICU gave encouraging results regarding the usefulness of the PPADS tool.iii

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Section: The Datamentioning

confidence: 99%