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On the use of Semantic Technologies in the Health, Medical and Biomedical Domains
- 1. On the use of Semantic Technologies in the Health, Medical and Biomedical Domains. Cédric Pruski, CR SANTEC - CRP Henri Tudor, March 21 st 2011, Luxembourg
- 6. Semantic Tech. for Interoperability: The eSanté platform eSanté platform EHR LOINC Code: 3084-1 Data producers Data consumers Images LABO Measurement of urate in serum or plasma, result expressed in mg/dl Labo Report Patient: … Prescribed exam: … Conclusion: …
- 9. Semantic Tech. for Data Integration and Retrieval: Application in biobanking
- 11. Semantic Tech. for Decision Support: Personalization of treatments CIG Specification Approach Terminologies use CI Guideline follow CIG Engine execute Health Care Professionals Policies Patient Constraints Care Inst. Policies and Constraints refine constrain Treatment Interactions Drugs Interactions refine and implement part-of Careflow Engine execute use constrain constrain constrain use * * * * * * * * * * * * * * * * * * * * 1 . .* * * 1 Patient Records constrain * * 1 * * 1 1 use Patterns use follow 1 1 1 * Care Inst. Clinical Protocol Patient Careflow Enriched CIG
- 13. Contact: [email_address] www.santec.lu
Notes de l'éditeur
- In addition to precision of meaning, consistancy, understandability and reproducibility are three major desiderata for semantically interoperable systems: - Consistancy means that the receiving system must be able to recognise what has been sent, so it is a prime requirement for machine-machine communications and dictates the need for unambiguous identifi ers. - Understandability is essential for human communication. Humans can tolerate considerable ambiguity, but tend to focus too narrowly, so that the requirements are almost the reverse as for automated support. It is limited by the trust that the information is valid, especially with aggregated population data where the aggregation process may result in loss of information. - Reproducibility addresses the question of inter-individual reliability when data are collected or encoded. Th is holds both for individual and aggregated data.