Luis Marco-Ruiz

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BACKGROUND The reuse of data captured during health care delivery is essential to satisfy the demands of clinical research and clinical decision support systems. A main barrier for the reuse is the existence of legacy formats of data and the high granularity of it when stored in an electronic health record (EHR) system. Thus, we need mechanisms to(More)
BACKGROUND The high costs involved in the development of Clinical Decision Support Systems (CDSS) make it necessary to share their functionality across different systems and organizations. Service Oriented Architectures (SOA) have been proposed to allow reusing CDSS by encapsulating them in a Web service. However, strong barriers in sharing CDS(More)
UNLABELLED Reuse of data from EHRs is essential for many purposes. The objective of the study was to explore how distributed electronic health record (EHR) data can be reused for privacy-preserving statistical query and processing. METHOD We have designed and created a proof of concept prototype solution based on the OpenEHR specification to ensure(More)
Communicating genetic testing reports of a patient in a semantically interoperable way remains difficult. Most of the information is stored as non-communicable documents which cannot automatically be processed. The objective of the project was to obtain semantically interoperable genetic testing reports which could be used not only for communication(More)
Clinical Decision Support Systems (CDSS) help to improve health care and reduce costs. However, the lack of knowledge management and modelling hampers their maintenance and reuse. Current EHR standards and terminologies can allow the semantic representation of the data and knowledge of CDSS systems boosting their interoperability, reuse and maintenance.(More)
The interoperability of Clinical Decision Support (CDS) systems with other health information systems has become one of the main limitations to their broad adoption. Semantic interoperability must be granted in order to share CDS modules across different health information systems. Currently, numerous standards for different purposes are available to enable(More)
Clinical concepts and terminologies usually differ from one software system to another, making the exchange of data between them a very arduous and difficult task. It mainly involves finding the correspondences between the local identifiers of the concepts to be exchanged. In this paper, we describe a software tool called SAM (Automatic Mapping System), a(More)
the most important requirement to support cooperative work among health professionals is the ability of sharing Electronic Healthcare Records. This is particularly difficult due to the intrinsic complexity and heterogeneity of the health domain. One approach to overcoming heterogeneity relies on the agreement on a set of domain-specific concepts that hide(More)
Knowing what the conversation on Twitter regarding type 1 diabetes (T1D) is about can help in understanding the kind of information relevant to the individuals affected by the disease. The profile of Twitter users posting on T1D was collected and classified. The number of re-tweets was also registered. The tweets posted by non-governmental organizations(More)
Symptom checkers are software tools that allow users to submit a set of symptoms and receive advice related to them in the form of a diagnosis list, health information or triage. The heterogeneity of their potential users and the number of different components in their user interfaces can make testing with end-users unaffordable. We designed and executed a(More)