Development of Electronic Health Record System Based on Carpal Tunnel Syndrome

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dc.authoridKaya, Hilal/0000-0003-4787-105X
dc.authoridAlcan, Veysel/0000-0002-7786-8591
dc.authorwosidAlcan, Veysel/AAL-9469-2020
dc.authorwosidCanal, Mehmet Rahmi/N-4278-2018
dc.authorwosidKaya, Hilal/KVB-9115-2024
dc.authorwosidAlcan, Veysel/P-3209-2018
dc.contributor.authorTalan, Mehmet Ibrahim
dc.contributor.authorCanal, Mehmet Rahmi
dc.contributor.authorAlcan, Veysel
dc.contributor.authorKaya, Hilal
dc.contributor.authorZinnuroglu, Murat
dc.date.accessioned2024-08-04T20:57:41Z
dc.date.available2024-08-04T20:57:41Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description.abstractPhysical examination, clinical tests and electrophysiological methods are used in the diagnosis of carpal tunnel syndrome (CTS). However, in practice there are no standard clinical and electrophysiological tests for clinics and laboratories. Therefore, data fragmentation or incompatibilities may occur in Electronic Health Record (EHR) systems. Furthermore, secondary use and different biomedical research targets are not considered in these EHR systems. During routine documentation, incomplete, incorrect, inconsistent data entry and incorrect coding can be done. This study aimed to develop an EHR system that could be used in different clinics and centers in diagnosis of CTS, thus creating a standardized, high quality, predictive, preventive, personalized and real-time participatory CTS biomedical data warehouse. The CTS-based EHR system was developed using Microsoft Visual Studio C # programming language. Also during a new patient record, the system was supported by a clinical decision support system (CDS S) based on the data mining methods using WEKA program for pre-diagnosis of the CTS. This EHR system also allows clinical and electrophysiological test results as well as genetic and environmental variants to be integrated into a single database within the framework of precision medicine approachment. In addition, this system can provide a large scale accurate and complete data warehouse for secondary use purposes.en_US
dc.identifier.doi10.2339/politeknik.453830
dc.identifier.endpage853en_US
dc.identifier.issn1302-0900
dc.identifier.issn2147-9429
dc.identifier.issue4en_US
dc.identifier.startpage847en_US
dc.identifier.urihttps://doi.org/10.2339/politeknik.453830
dc.identifier.urihttps://hdl.handle.net/11616/102818
dc.identifier.volume22en_US
dc.identifier.wosWOS:000489153800007en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherGazi Univen_US
dc.relation.ispartofJournal of Polytechnic-Politeknik Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCarpal tunnel syndromeen_US
dc.subjectelectronic healt record systemen_US
dc.subjectdata warehouseen_US
dc.subjectclinical decision support systemen_US
dc.titleDevelopment of Electronic Health Record System Based on Carpal Tunnel Syndromeen_US
dc.typeArticleen_US

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