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Abstract. Everyday methods providing managers with elaborated information making more comprehensible the results obtained of queries over OLAP systems are required. This problem is relatively recent due to the huge amount of information they store, but so far there are few proposals facing this issue, and they are mainly focused on presenting the information to the user in a comprehensible language (natural language). Here we go further and introduce a new mathematical formalism, the Semantic Interpretations, to supply the user not only understandable responses, but also semantically meaningful results.

In this paper, we propose a new approach for accessing the electronical health records (EHR), and we apply it to the cardiology medical specialty. Though the use of EHR improves the storage and access to the information in it regarding the previous health records in papers, it entails the risk of having the same problems of huge size and of becoming inoperative and really difficult to handle, especially if the user is looking for a specific data item. Our proposal is based on the contextualization of the access, providing the user with the most important information for the assistance act in which he/she is involved. To do this, we define the set of possible contexts and consider different aspects of the pertinence of the documents to each context. We do it by using fuzzy logic and pay special attention to the efficiency, due to the huge size of the involved databases. Our proposal does not limit the access to the EHR, but establishes a prioritization based on the access needs, which provides the system with an additional advantage, easily enabling the use of new terminals and devices like tablet PCs and PDAs, which have great limitations in the interfaces.

Everyday more hospitals develop their own Electronic Health Record (EHR) Systems to improve the accessibility to the information on it. There are some standards and proposals to homogenize the structure of these EHR, but they use to be so generic, that the final EHR structure has so many particularities that is different in each hospital. This situation has created a huge problem of interoperability, since Hospital Information Systems (HIS) are not capable of communicating nor understanding each other. At this point it seems very difficult that all the Hospital Information Systems change their EHR structures into a common one, to get this communication capability. Proposals to solve this issue require to create a common EHR or to translate all the existing EHR structures into a common one, and both cases seem to be unapproachable. This is why we propose a different approach based on the contextualized access to the information. The underlying idea is that the assistance acts, i.e. situations or contexts, where the information is acceded, as well as the data required for each, i.e pertinent information, is almost the same independently of the hospital where you are. Hence, it is not necessary to establish a correspondence between the EHRs, we only need to identify the context of the extern access and retrieve and send the information pertinent to it. In addition, our proposal also allows the adaptation to the needs of information of each medical doctor in each Hospital, as well as solves the problem of EHR fragmentation.

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