Modeling and Verification of Hospital Intelligent Diagnosis and Treatment Service Based on Timed Automata in Internet of Things

Author(s):  
Lei Yu ◽  
Yubo Yan ◽  
Yang Lu ◽  
Benhong Zhang ◽  
Ya Li ◽  
...  
2011 ◽  
Vol 34 (8) ◽  
pp. 1365-1377 ◽  
Author(s):  
Li-Xing LI ◽  
Zhi JIN ◽  
Ge LI

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3474
Author(s):  
Taehoon Kim ◽  
Wonbin Kim ◽  
Daehee Seo ◽  
Imyeong Lee

Recently, as Internet of Things systems have been introduced to facilitate diagnosis and treatment in healthcare and medical environments, there are many issues concerning threats to these systems’ security. For instance, if a key used for encryption is lost or corrupted, then ciphertexts produced with this key cannot be decrypted any more. Hence, this paper presents two schemes for key recovery systems that can recover the lost or the corrupted keys of an Internet of Medical Things. In our proposal, when the key used for the ciphertext is needed, this key is obtained from a Key Recovery Field present in the cyphertext. Thus, the recovered key will allow decrypting the ciphertext. However, there are threats to this proposal, including the case of the Key Recovery Field being forged or altered by a malicious user and the possibility of collusion among participating entities (Medical Institution, Key Recovery Auditor, and Key Recovery Center) which can interpret the Key Recovery Field and abuse their authority to gain access to the data. To prevent these threats, two schemes are proposed. The first one enhances the security of a multi-agent key recovery system by providing the Key Recovery Field with efficient integrity and non-repudiation functions, and the second one provides a proxy re-encryption function resistant to collusion attacks against the key recovery system.


2003 ◽  
Author(s):  
N. Al Farsi ◽  
B. Ojulari ◽  
P. Hook ◽  
T.W. Staal

2020 ◽  
Vol 62 (1) ◽  
Author(s):  
Thanh Hải Nguyễn ◽  
Thanh Hùng Phùng ◽  
Quỳnh Anh Phạm

Research was conducted with two objectives which are to describe and to analyze some factors affecting the satisfaction of insured patients getting diagnosis and treatment service in Hoi An health station, Cho Moi district, An Giang province. The research design is cross-sectional description, combining quantitative and qualitative. The research used SERQUAL questionaire, interviewed 288 inpatients. The research results show that 81.2% insured patients satisfied with diagnosis and treatment service in Hoi An health station, in which the overall satisfaction rate of insured patients with sympathy factor is 74.7%. Factor having lowest satisfaction rate of insured patient is trust factor (60.1%). Our study also found some factors related to patient satisfaction. They are occupation (OR = 2.1), number of visits per year (OR = 2.5), number of times using health insurance card (OR = 2.0), health insurance services counseling (OR = 2.6). The research results provide scientific evidence to advise the Board of Directors to propose solutions to improve the quality of medical examination and treatment and increase patient confidence.


2020 ◽  
Vol 04 (03) ◽  
pp. 87-94
Author(s):  
Van Dau Dang ◽  
◽  
Duc Thanh Nguyen ◽  
Thanh Phung ◽  
Hoa Khanh Le

In health administration, the satisfaction of patients is an important factor that need to be achieved by health facilities. This cross-sectional analytical study aims to fulfill two objectives: (1) To describe the satisfaction among inpatients, and (2) To identify some related factors to the satisfaction of inpatients at Hoan My Binh Phuong Hospital. The study took place between April and October 2019 on 300 inpatients and used a questionnaire designed by Hoan My Medical Group based on the Ministry of Health’s satisfaction form. The research results show that the average satisfaction rate of the medical service at Hoan My Binh Phuoc Hospital is 92.27%. The satisfaction of patients on medical examination and treatment is the highest at 96.55%; followed by satisfaction on the time to use the services in the hospital at 94.62%; the satisfaction rate on service attitude of medical staff is 90.96% and on the facilities is the lowest at 86.75%. The study also found that the number of hospitalizations treated in the past 12 months the associated factor to the satisfaction of patients. Key words: satisfaction, inpatient, diagnosis and treatment service.


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