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22대 대한민국 국회 국회정보길라잡이 국회의원검색
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Objectives: This study aimed to develop and evaluate the functionality of a smart system-based prototype, “BABAT TB,” amedication box designed to assist tuberculosis (TB) patients in adhering to their treatment schedules. Methods: The developmentof the BABAT TB prototype followed the Design Science Research Methodology framework, encompassing thestages of problem identification and motivation, defining the objectives for a solution, and system design and development.

Problem identification and motivation were established through semi-structured interviews with TB program officers anddocument analysis. The prototype integrates two main functional components: a drug quantity monitoring module and areminder/alarm system for medication schedules, both monitored in real time. Serial communication through a SIM registeris used to transmit real-time drug quantity data to the associated application. The system is powered by two 4,000 mAhlithium batteries, providing up to 2 months of use without recharging. Results: The prototype consists of three core hardwarecomponents: the input control circuit, the timer circuit, and the drug amount detection circuit. All modules were successfullyassembled and powered. The timer was configured according to medical prescriptions, and the alarm activated at thescheduled times, effectively reminding patients to take their medication. Conclusions: The BABAT TB prototype effectivelymeasures medication quantities and provides timely alerts, thereby supporting adherence to TB treatment. In addition, it cantransmit data related to drug quantities, consultation schedules, and prototype identity cards (IDs) to a database.

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기사명 저자명 페이지 원문 목차
Development and evaluation of BABAT TB : a smart system-based reminder box for enhancing tuberculosis medication adherence Sri Ratna Rahayu, Anan Nugroho, Dina Nur Anggraini Ningrum, Aufiena Nur Ayu Merzistya, Tutuk Wijayantiningrum, Jhonatur Stheven Simanjuntak, Muhammad Zidan Maali, Kasyfil Aziz Hafidh, Annisa Putri Salsabila, Salsabila Kinaya Pranindita, Naufal Ilham Ramadhan p. 4-13
Engaging with Facebook health support groups among Australian culturally and linguistically diverse populations Mohamad Mahmoud Al Zein, Khin Than Win, Ibrahim Alananzeh p. 14-27
Machine learning for predicting coronary heart disease risk in patients with hypertension : an ensemble modeling approach Fadratul Hafinaz Hassan, Shuchen Wang, Alina Miron p. 28-37
Survival period prediction in cervical cancer patients using the selective stacking technique Intorn Chanudom, Ekkasit Tharavichitkul, Wimalin Laosiritaworn p. 38-49
Educational needs and level of knowledge in standard healthcare terminology use in Korea : a cross-sectional survey Ahjung Byun, Hyeoun-Ae Park, Jiyeon Yu, Sumi Sung p. 50-58
Nurses’ perceptions and utilization plans for applying companion robots to acute stroke patient care : a Delphi study Hee-jin Choo, Sun-mi Lee p. 59-68
Development and validation of a predictive AI framework for diabetic foot ulcer monitoring and severity assessment : a step towards self-monitoring and primary care integration Subodh S. Satheesh, Akhila Rayampalli, Akash G. Prabhune, Vinay R. Sri Hari p. 69-76
Maternal coffee consumption during pregnancy and risk of allergic diseases in children : the Korean Children’s Environmental Health Study Sharmin Afroz, Seoyeon Cho, Jongmin Oh, Jin-Hong Kim, Sung Yeon Kim, Eunhee Ha, Yi-Jun Kim, Ko-CHENS Study Group p. 77-91
Developing a training program for healthcare data professionals in South Korea : a needs analysis Yeonju Kim, Yonghwan Moon, Jipmin Jung, Seungwon Jeung, Young-A Ji, Gwihyun Kim, Youngho Lee, Hyekyung Woo p. 92-100
Construction and application of a biological sample library information management system based on a data governance system in China Ke Wang, Xiaoying Fu, Yinghua Chen, Junjian Yu, Naicheng Xv, Jianqiao Peng, Kang Yang p. 101-108
Artificial intelligence exhibits critical blind spots in allergy test room safety design Betul Dumanoglu, Cihangir Sahin, Ozge Can Bostan, Zeynep Gulec Koksal, Pamir Cerci p. 109-113

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