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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
The Primary Care Electronic Library: RSS feeds using SNOMED-CT indexing for dynamic content delivery
Judas Robinson1, Simon de Lusignan, Patty Kostkova
1Division of Community Health Sciences, St George's - University of London, London, UK.
Informatics in Primary Care
|May 24, 2007
Summary
This study piloted using Rich Site Summary (RSS) feeds to dynamically deliver coronary heart disease (CHD) information resources. The system successfully exchanged data between servers using SNOMED-CT terms for clinical coding, enabling rapid access to digital library resources.
Area of Science:
- Medical Informatics
- Health Information Exchange
- Digital Libraries
Background:
- Rich Site Summary (RSS) feeds facilitate content syndication via XML.
- Primary Care Electronic Library (PCEL) uses RSS for new content distribution.
- Medical Subject Headings (MeSH) and SNOMED-CT terms, mapped via UMLS, enable library searchability.
Purpose of the Study:
- To pilot the dynamic supply of information resources via RSS syndication.
- To enable remote access to PCEL coronary heart disease (CHD) resources using SNOMED-CT terms.
Main Methods:
- Syndicate partner provided end-users with CHD SNOMED-CT terms.
- Requests were relayed between web servers for resource retrieval from the PCEL MySQL database.
- Dynamic RSS feeds were generated using PHP and UMLS Source Asserted Identifiers (CODEs).
Main Results:
- A functional application was developed for retrieving resources via SNOMED-CT terms and syndication.
- The data exchange process, from request to resource display, was completed in under one second.
Conclusions:
- RSS syndication enables effective data exchange between servers.
- This method can dynamically supply digital library resources to clinical systems.
- SNOMED-CT terms serve as a valuable standard for referencing clinical data.
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