16 October 2017: Subhashis Das Title: Safe Haven in a Box - Knowledge Integration Demo Abstract: Modern health-care needs to make better use of patient data to optimize services and to reuse the data for research purpose. This is a vital challenge for all stakeholders. Health-care information is often in silos (i.e. local database) and sometimes of low quality (e.g. pdf format) making it hard to access and efficiently reuse thus slowing down quality improvement and clinical research. Semantic Interoperability in the health-care domain is of a great concern, where the main objective is to exchange health-related information with explicit meaning that is shared between different stakeholders or policymakers. The main hurdle in achieving semantic interoperability is mainly because of difference in terminology used by various coding systems and also a lack of correlation among local coding systems and international coding systems. Ontology-based approach along with the standard controlled vocabulary helps tackle issues where the explicit formal specification is provided to interact with different systems. Making health records meaningful will only be possible if we link the Electronic Health Record (EHR) to an authoritative clinical knowledge and then use natural language in the user interface. This enables effective meaning-based retrieval. In this demo, we will demonstrate a modeling tool, which we developed (under development) to tackle above mentioned issues. Oct 16 2017 14.00 - 15.00 16 October 2017: Subhashis Das Safe Haven in a Box - Knowledge Integration Demo IF 4.31/4.33
16 October 2017: Subhashis Das Title: Safe Haven in a Box - Knowledge Integration Demo Abstract: Modern health-care needs to make better use of patient data to optimize services and to reuse the data for research purpose. This is a vital challenge for all stakeholders. Health-care information is often in silos (i.e. local database) and sometimes of low quality (e.g. pdf format) making it hard to access and efficiently reuse thus slowing down quality improvement and clinical research. Semantic Interoperability in the health-care domain is of a great concern, where the main objective is to exchange health-related information with explicit meaning that is shared between different stakeholders or policymakers. The main hurdle in achieving semantic interoperability is mainly because of difference in terminology used by various coding systems and also a lack of correlation among local coding systems and international coding systems. Ontology-based approach along with the standard controlled vocabulary helps tackle issues where the explicit formal specification is provided to interact with different systems. Making health records meaningful will only be possible if we link the Electronic Health Record (EHR) to an authoritative clinical knowledge and then use natural language in the user interface. This enables effective meaning-based retrieval. In this demo, we will demonstrate a modeling tool, which we developed (under development) to tackle above mentioned issues. Oct 16 2017 14.00 - 15.00 16 October 2017: Subhashis Das Safe Haven in a Box - Knowledge Integration Demo IF 4.31/4.33
Oct 16 2017 14.00 - 15.00 16 October 2017: Subhashis Das Safe Haven in a Box - Knowledge Integration Demo