Home // SEMAPRO 2016, The Tenth International Conference on Advances in Semantic Processing // View article
Electronic Health Records for Smoking Cessation With a Web Based Software
Authors:
Gül Eda Aydemir
Tuna Kut
Alp Kut
Vildan Mevsim
Reyat Yılmaz
Keywords: smoking cessation, electronic health records, decision support systems
Abstract:
Cigarette smoking is the leading preventable cause of mortality. Smokers who quit smoking reduce their risk of developing and dying from tobacco-related diseases. Smoking cessation outpatient clinics play an important role for cessation of smoking. Health information systems such as Electronic Health Records (EHRs), computerized decision support systems, and electronic prescribing are increasingly identified as potentially valuable components to improve the quality and efficiency of patient care. The paper-based methods which are used in Smoking Cessation Outpatient Clinics (SCOCs) are time and resource expensive and unlikely to be performed consistently. EHRs provide a systematic mechanism to improve patient care. In this study, a Web based software is developed for use of primary health care physicians and other health workers to implement smoking cessation for addicts. The system which was developed will be used for recording therapy, following up with the patient and evaluating the quitting process of smokers. Electronic health records computerized decision support systems are potentially valuable components to improve the quality and efficiency of clinical interventions for tobacco use. This software is developed with Microsoft Visual Studio 2015 C# programming language as a Web application.
Pages: 37 to 40
Copyright: Copyright (c) IARIA, 2016
Publication date: October 9, 2016
Published in: conference
ISSN: 2308-4510
ISBN: 978-1-61208-507-4
Location: Venice, Italy
Dates: from October 9, 2016 to October 13, 2016