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

초록

영어

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.

목차

Abstract
1. Introduction
2. Related Research
2.1 KIOSK
2.2 OCR
2.3 Arduino
3. Automation of Pharmaceutical Prescription system Design
3.1 Arduino Implementation
4. Conclusion and Further works
References

저자정보

  • Myung-Jae Lim Professor, Department of Medical IT, Eulji University, Korea
  • Dong-Kun Jung Professor, Department of Medical IT, Eulji University, Korea
  • Kyu-Dong Kim Professor, Department of Medical IT, Eulji University, Korea
  • Young-Man Kwon Professor, Department of Medical IT, Eulji University, Korea

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