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. 2016 Sep 14;7:53. doi: 10.1186/s13326-016-0100-2

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© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 7 — Ontological representation of a clinical study. This use case study analyzed the effects of variable levels of nurse staffing on inpatient mortality [22]. The data was obtained from eMedical records and then transformed. Cox proportional hazards model estimation (a type of survival analysis) was performed to identify the effect of hospital unit shift rates (independent variable) on the patient mortality rate (dependent variable). A p-value of <0.01 was used to draw a conclusion of the statistical significance between these two variables