• Title/Summary/Keyword: Pharmacy Automation System

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Optimization of Automated Suspension Trapping Digestion in Bottom-Up Proteomics via Mass Spectrometry

  • Haneul Song;Yejin Jeon;Iyun Choi;Minjoong Joo;Jong-Moon Park;Hookeun Lee
    • Mass Spectrometry Letters
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    • v.15 no.1
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    • pp.62-68
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    • 2024
  • The Suspension Trapping (S-Trap) method has been a prominent sample preparation technique since its introduction in 2014. Its capacity to induce protein aggregation using organic solvents has significantly improved protein purification and facilitated peptide identification. However, its full potential for automation has been limited by the lack of a suitable liquid handling system until recently. In this study, we aimed to enhance the automation of S-Trap sample preparation by optimizing the S-Trap digestion process, incorporating triethylammonium bicarbonate (TEAB) and CaCl2. The utilization of TEAB buffer conditions in this innovative process led to a noteworthy 12% improvement in protein identification. Additionally, through careful observation of various incubation conditions, we streamlined the entire sample preparation workflow into a concise 4 hours timeline, covering reduction, alkylation, and trypsin incubation stages. This refined and expedited automated S-Trap digestion process not only showcased exceptional time efficiency but also improved trypsin digestion, resulting in increased protein identification.

Improving Drug Quantity Accuracy using Displacement Sensor in Pharmacy Automation Management System (약국 자동화 관리 시스템에서 변위 센서를 이용한 약품 수량 정확도 개선)

  • Park, Kiyoung;Kim, Hoyoung;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.9
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    • pp.1032-1037
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    • 2019
  • In the existing pharmacy automation system, quantity control was carried out only in the memory without first measuring the quantity of the medicine and during the operation of the facility. As a result, the number of drugs that have already been deducted during operation at the time of a facility error has not been managed. Serious problems are caused by important medicines that need to be managed because of lack of quantity control. In addition, the user had to refill the drug when it was exhausted because the user could not know the amount of the drug outside the facility. When the drug was out of stock, the facility was operating with loss of time to restart and the time to replenish the drug. Thus, in this paper, we designed and applied system to control the quantity of medicines frequently by adding displacement sensors to the robot of the facility.

Development and Validation of a Vision-Based Needling Training System for Acupuncture on a Phantom Model

  • Trong Hieu Luu;Hoang-Long Cao;Duy Duc Pham;Le Trung Chanh Tran;Tom Verstraten
    • Journal of Acupuncture Research
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    • v.40 no.1
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    • pp.44-52
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    • 2023
  • Background: Previous studies have investigated technology-aided needling training systems for acupuncture on phantom models using various measurement techniques. In this study, we developed and validated a vision-based needling training system (noncontact measurement) and compared its training effectiveness with that of the traditional training method. Methods: Needle displacements during manipulation were analyzed using OpenCV to derive three parameters, i.e., needle insertion speed, needle insertion angle (needle tip direction), and needle insertion length. The system was validated in a laboratory setting and a needling training course. The performances of the novices (students) before and after training were compared with the experts. The technology-aided training method was also compared with the traditional training method. Results: Before the training, a significant difference in needle insertion speed was found between experts and novices. After the training, the novices approached the speed of the experts. Both training methods could improve the insertion speed of the novices after 10 training sessions. However, the technology-aided training group already showed improvement after five training sessions. Students and teachers showed positive attitudes toward the system. Conclusion: The results suggest that the technology-aided method using computer vision has similar training effectiveness to the traditional one and can potentially be used to speed up needling training.

Empirical Analysis of SFA (Sales Force Automation) System Utilization Level and Performance in Pharmaceutical Companies in Korea (국내 제약기업에서의 SFA(sales Force Automation) 시스템 활용수준과 기업성과의 실증분석)

  • Jang, Kyoung won;Ko, Gunhyuk;Ha, Dongmun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.182-190
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    • 2018
  • Many pharmaceutical companies operate the SFA system to support salespeople. The SFA system is used for various behaviors of salespeople. However, there is a lack of empirical analysis on the performance of SFA in Korea. The purpose of this study is to investigate the utilization of SFA system and the non - financial performance of SFA system. The subjects of the survey were 347 pharmaceutical community members who consisted of pharmaceutical salespeople and surveyed online for 18 days from March 13, 2018 to April 30, 2018. and the effective response rate was 23.1% (80/347). The analysis shows that the higher the level of SFA system utilization, the higher the non - financial performance. By type of company, the utilization level of multinational companies was higher than that of domestic companies. Among the SFA utilization level items, 1.47 points (3.65, 2.18) were higher than the domestic companies in terms of the support service items. Among the SFA performance items, foreign companies were 1.47 points (3.16, 1.69) Respectively. This suggests that the SFA development and operation method of the domestic company focuses on the management service rather than the support service for the salesperson and the customer satisfaction. Through this study, it is considered that domestic companies should strengthen sales person support and customer satisfaction information providing function when operating SFA system.

Design for Automation System for Pharmaceutical Prescription Using Arduino and Optical Character Recognition

  • Lim, Myung-Jae;Jung, Dong-Kun;Kim, Kyu-Dong;Kwon, Young-Man
    • International journal of advanced smart convergence
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    • v.10 no.3
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    • pp.66-71
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    • 2021
  • Recent healthcare environments have characteristics of expanding the scope of healthcare-impacting healthcare, complexity resulting from diversification of components, and accelerating the pace of change. Drugs are used for the prevention, mitigation, and treatment of diseases, so they can inevitably cause harm, while they have efficacy and effectiveness, which are key elements of health recovery. Therefore, many countries regulate permits for safe and effective medicines, and also designate essential drugs directly related to life as pay targets and guarantee health insurance. Especially Pharmacist relying on manpower for composition medicine is liable for mal-manufacture due to combination of toxic medical substances or other chemical usage. In this paper, we focus on using Kiosk and Optical Character Recognition (OCR) for automated pharmacy to level up medical service and create labor friendly environment for pharmacist themselves through maintenance of prescription data and automated manufacturing solution. Presentation of drug substances and precautions will lead to efficient drug prescription and prevent misuse of information while auto manufacturing system efficiently maintain labor force and raise patient satisfaction level by reduction of waiting time.

Image and NFC based Real Time Reagent Measurement and Registration System (영상 및 NFC 기반 실시간 시약 계량 등록 시스템)

  • Lee, Keunwoo;cheong, Sangho;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.6
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    • pp.652-658
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    • 2019
  • When IoT is applied to various research experiment fields such as physics, pharmacy, biology and medicine, it can increase the safety and convenience of researchers by intelligently monitoring and controlling research equipment and environment with various sensors and devices. For accurate and convenient record management and the research history and the basis but also for the reverse tracking, real-time reagent measurement and registration should be provided as a research support automation services. Currently, existing methods of reagent management are operated by computerized method, but reagent registration and management are not automated. And also record is managed manually, there are many hassles and problems such as a record error and too much time required for quantification and registration for many reagents. In this paper, we study a real time reagent measuring and registration method based on IoT to resolve the problems aforementioned, by the information of the reagent acquired by image recognition and NFC method.