Abstract
Clinical Pathways (CP) enhance the quality of patient care, and are thus important in health management. However, there is a need to address the challenge of adaptation of treatment procedures in CP—that is, the treatment schemes must be re-modified once the clinical status and other care conditions of patients in the healthcare setting change, which happen frequently. In addition, the widespread and frequent use of Electronic Medical Records (EMR) implies an increasing need to combine CP with other healthcare information systems, especially EMR, in order to greatly improve healthcare quality and efficiency. This study proposed an ontology-based method to model CP: ontology was used to model CP domain terms; Semantic Web Rule language was used to model domain rules. In this way, the CP could reason over the rules, knowledge, and information collected, and provides automated error checking for the next steps of the treatment in runtime, which is adaptive to treatment procedures. To evaluate our method, we built a Lobectomia Pulmonalis CP and realized it based on an EMR system.
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This research is supported by the Fundamental Research Funds for the Central Universities and by National High-tech R&D Program (No. 2009AA045300).
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Hu, Z., Li, JS., Zhou, TS. et al. Ontology-Based Clinical Pathways with Semantic Rules. J Med Syst 36, 2203–2212 (2012). https://doi.org/10.1007/s10916-011-9687-0
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DOI: https://doi.org/10.1007/s10916-011-9687-0