Quality of service in healthcare units

Machado, José; Abelha, António; Nováis, Paulo; Neves, José; Neves, João V.

doi:10.1504/ijcaet.2010.035396

Cited by 51 publications

(26 citation statements)

References 12 publications

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“…In order to evaluate the knowledge that stems from a logic program, an assessment of the Quality-of-Information (QoI), given by a truth-value in the interval [0, 1], inclusive in dynamic environments aiming at decision-making purposes, is set [22,23]. Indeed, the objective is to build a quantification process of QoI and measure one's Degree of Confidence (DoC) that the argument values or attributes of the terms that make the extension of a given predicate with relation to their domains fit into a given interval [24].…”

Section: Knowledge Representation and Reasoningmentioning

confidence: 99%

Screening a Case Base for Stroke Disease Detection

Neves

Gonçalves

Oliveira

et al. 2016

Lecture Notes in Computer Science

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Abstract. Stroke stands for one of the most frequent causes of death, without distinguishing age or genders. Despite representing an expressive mortality figure, the disease also causes long-term disabilities with a huge recovery time, which goes in parallel with costs. However, stroke and health diseases may also be prevented considering illness evidence. Therefore, the present work will start with the development of a decision support system to assess stroke risk, centered on a formal framework based on Logic Programming for knowledge representation and reasoning, complemented with a Case Based Reasoning (CBR) approach to computing. Indeed, and in order to target practically the CBR cycle, a normalization and an optimization phases were introduced, and clustering methods were used, then reducing the search space and enhancing the cases retrieval one. On the other hand, and aiming at an improvement of the CBR theoretical basis, the predicates`attributes were normalized to the interval 0…1, and the extensions of the predicates that match the universe of discourse were rewritten, and set not only in terms of an evaluation of its Quality-of-Information (QoI), but also in terms of an assessment of a Degree-of-Confidence (DoC), a measure of oneʼs confidence that they fit into a given interval, taking into account their domains, i.e., each predicate attribute will be given in terms of a pair (QoI, DoC), a simple and elegant way to represent data or knowledge of the type incomplete, self-contradictory, or even unknown.

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Section: Knowledge Representation and Reasoningmentioning

confidence: 99%

Screening a Case Base for Stroke Disease Detection

Neves

Gonçalves

Oliveira

et al. 2016

Lecture Notes in Computer Science

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“…Analysing the advantages at a structural level, the EHR supports the customization of the user interface, allowing the use of different layouts of insertion and viewing information under the very useful aspect of the availability of specific modalities in the hospital. Along with this, the EHR enables the automated collection of clinical parameters from monitors, imaging equipment, chemical analysis, among others [2]. Furthermore, it allows that the entire information can be share among different users whom are directly involved in the healthcare of the patient.…”

Section: The Electronic Health Recordmentioning

confidence: 99%

SWOT Analysis of a Portuguese Electronic Health Record

Pereira¹,

Salazar²,

Abelha³

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. In this paper it is describe a SWOT analysis of an Electronic Heath Record (EHR) implemented in a Portuguese hospital. As the EHR is a core part of a hospital information system, it is extremely important to ensure that it offers the best functionalities and that users are satisfied. With this analysis it is intended to gather information about the system, in order to improve the EHR implemented in the hospital. In the end, and appending to the results of a usability evaluation done in previous works, the evaluation team had enough knowledge about are the strengths and weaknesses of the EHR, as well as what opportunities can be taken and the threats that have to be avoided.

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“…A Health Unit is computationally represented by a heterogeneous set of applications that speak different languages and are customized by different customers. So a practical and effective communication platform between information systems is paramount taking into consideration the quality of information [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…In order to fulfill this goal, it was developed, at University of Minho, an Agency for the Integration, Diffusion, and Archive (AIDA) of medical information, which allows interoperability with different HIS [4], and a EHR system.…”

Section: Introductionmentioning

confidence: 99%

Semantic Interoperability and Health Records

Peixoto

Machado

Neves

et al. 2010

IFIP Advances in Information and Communication Technology

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Abstract. Systems Interoperability and Electronic Health Records are responsible for an exponential number of visits in electronic repository, either in terms of medical professionals or related staff. This is paramount for a better and sustainable quality-of-care in clinical assistance and of great potential to medical research. Following these lines of though, we present an agency for the diffusion, integration and archiving of medical information, and show how semantic web can enforce the use of electronic documents in order to envisage free-paper hospitals.

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Quality of service in healthcare units

Cited by 51 publications

References 12 publications

Screening a Case Base for Stroke Disease Detection

Screening a Case Base for Stroke Disease Detection

SWOT Analysis of a Portuguese Electronic Health Record

Semantic Interoperability and Health Records

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