• The Journal of the Korea institute of electronic communication sciences
• /
• v.7 no.5
• /
• pp.1213-1219
• /
• 2012

As Korea is expected to enter an aging society in near future, the number of patients who need a long-term prescribtion is expected to increase as well. In particular, Korea shows the highest in both the incident rate and the death rate among OECD member nations. The current situation requires more strict monitoring and management for patients' taking medicine, there are a few practical problems such as personnel expenses. Recently the concept of directly observed treatment (DOT) that is based on the IT technologies has been introduced. This paper, therefore, proposes a digital DOT system with a smart pillbox and drives key requirements for the smart pillbox that plays an important and essential role in the proposed digital DOT system.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.10 no.5
• /
• pp.571-578
• /
• 2015

Even though DOT (Directly Observed Treatment) is the most definite method for the patients who need a long-term medication, its implementation is almost impossible considering the manpower and economic cost for it. The smart medication management and monitoring system that has appeared as an alternative requires a device for its implementation. In this paper, we propose so-called a smart pillbox for the smart medication management and monitoring system and the multi-user authentication scheme for sharing the smart pillbox among the patients. Through the smart pillbox and the multi-user authentication scheme, it is expected that the recovery rate would be raised by enabling the patients to take medicine in both timely and correct manner.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.5
• /
• pp.989-998
• /
• 2023

As diseases are already increasing due to aging population and changes in eating habits, interest in digital healthcare is increasing. According to the 2020 Elderly Status Survey, 84% of South Koreans aged 65 and older suffer from at least one chronic disease, and the number and duration of drugs taken by the elderly are also increasing. Effective management that enhances compliance of chronic disease patients can prevent the onset of complications, thereby averting progression to severe illnesses. Thus, a proper medication-taking habit is crucial. This paper proposes a medication information retrieval system using OCR technology. By leveraging Google Cloud Vision API, the system detects and recognizes the names of medicines. Once recognized, the medication name is searched in a database to provide users with medication information and medication schedule management services. By providing accurate medication information through the search, it is possible to induce changes in medication methods and habits. By eliminating the inconvenience of direct input through OCR technology, we anticipate enhancing user convenience by promptly delivering information.