Browsing by Author "Maxi Jara, Kevin Alexander"

Now showing 1 - 3 of 3

Evaluating functional suitability of domain-specific languages oriented to create interactions for cognitive training
(Institute of Electrical and Electronics Engineers, 2021) Santos León, David Enrique; Maxi Jara, Kevin Alexander; Prado Cabrera, Katerine Daniela; Mora Aguirre, Brian Oswaldo; Valdez Solis, Wilson Fernando; Cedillo Orellana, Irene Priscila
To address problems related to people's memory, several techniques have been developed; one of them consists of cognitive training that seeks to maintain and improve the brain's essential executive functions. Today this technique has made use of software applications to provide such training. One way to support these applications' development is through Domain-Specific Languages (DSLs), which has reduced focus but produces an efficient solution. However, the applications' growth and complexity have generated systematic and specific approaches to evaluating the products developed. This study proposes to assess DSLs aimed at creating interactions for cognitive training. A quality model based on the ISO 25010 standard is presented with an evaluation method that references the ISO 25040 standard. The quality model focuses on Functional Suitability, while the evaluation method focuses on the Running the Assessment phase. The inputs generated were tested in an experimental environment. The results show that an effective, efficient, and satisfactory evaluation of DSLs within the domain can be developed from the generated quality and evaluation methods.
Integrating medical information software using health level seven and FHIR: a case study
(Springer Science and Business Media Deutschland GmbH, 2021) Morocho Zurita, Carlos Villie; Maxi Jara, Kevin Alexander
This article describes the architecture of a framework for integrating medical information using Health Level Seven and FHIR. An iterative programming methodology was followed along with the incremental approach. The following steps have been done in order: the exchange format type is established, the terminologies, code systems and value sets, to be used are established, mappings that will be used are established, set the RESTful API over HTTP, gather all the FHIR resources required, set URLs for the search, set URLs for the operations, establish asynchronous usage, Design of communications with rest of systems, coding and testing and establish profiling. In conclusion, a framework was designed and developed to enable interoperability in different medical information systems, all this through the use of the international standards HL7 and FHIR, and taking into account certain lessons learned from previous works related to the area
Software integrador de información médica utilizando Health Level Seven y FHIR
(Universidad de Cuenca, 2022-09-22) Maxi Jara, Kevin Alexander; Morocho Zurita, Carlos Villie
Fast Healthcare Interoperability Resources (FHIR) and Health Level 7 (HL7) in recent years have gained considerable prominence in the medical industry, both are medical information standards whose purpose is to achieve interoperability between the different systems of medical service providers. FHIR and HL7 reduce the efforts of the medical industry when it comes to interoperating with other medical entities, since they provide a single data structure that aims to be universal, and FHIR is built with the REST approach. However, in the Latin American medical industry and specifically in Ecuador, the efforts to achieve medical interoperability have been overshadowed by many aspects, the most evident being the investment that would entail building new medical systems that make use of these standards and render obsolete to previous systems, or at least to much of their data mining. However, this process is necessary in order to comply with the universality proposed by the Ecuadorian state, where it is defined as extending the coverage of the benefits of the health system to the entire population. For this reason, in this degree work, the design and implementation of a medical information middleware is presented using the HL7 and FHIR standards, which allows the interoperability of medical information systems.