Smart Healthcare Service Model for Efficient Management of Patient at a Hospital Outpatient Visits

Objectives: In the present paper, a smart healthcare service management model is proposed that will enable automatic recognition of critically ill patients attached with implantable devices in their bodies without any additional administrative process when they visit hospitals as outpatients so that the patients can be provided with medical services without inconvenience. Methods/Statistical Analysis: The proposed model uses biometric RFID (Radio Frequency Identification) devices so that medical staff can identify patients’ disease types and conditions in advance. Findings: The proposed model has an advantage of shortening the time required for medical services and medical administrative work by grafting RFID technology onto biometric devices. In addition, to provide security for important information related to patient treatment, the proposed model applied probability based multiple property values to patients’ medical information to improve safety. Improvements/Applications: The proposed model was evaluated in comparison with existing medical systems in terms of service delay time, work efficiency, and patients’ satisfaction with medical services. According to the results of the performance evaluation, the proposed model improved service delay time by 16.5% on average, work efficiency by 27% on average, and patients’ satisfaction with services by 22.4% on average compared to existing models.