Integrating patient-related entities using hospital information system data and automatic analysis of free text

  • Authors:
  • Svetla Boytcheva;Galia Angelova;Zhivko Angelov;Dimitar Tcharaktchiev;Hristo Dimitrov

  • Affiliations:
  • Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria;Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria;Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria;University Specialised Hospital for Active Treatment of Endocrinology, Medical University Sofia, Bulgaria;University Specialised Hospital for Active Treatment of Endocrinology, Medical University Sofia, Bulgaria

  • Venue:
  • ARES'11 Proceedings of the IFIP WG 8.4/8.9 international cross domain conference on Availability, reliability and security for business, enterprise and health information systems
  • Year:
  • 2011

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Abstract

The article presents research in secondary use of information about medical entities that are automatically extracted from the free text of hospital patient records. To capture patient diagnoses, drugs, lab data and status, four extractors that analyse Bulgarian medical texts have been developed. An integrated repository, which comprises the extracted entities and relevant records of the hospital information system, has been constructed. The repository is further applied in experiments for discovery of adverse drug events. This paper presents the extractors and the strategy of assigning time anchors to the entities that are identified in the patient record texts. Evaluation results are summarised as well as application scenarios which make use of the extracting tools and the acquired integrated repository.