AUTHOR=Jiang Rong , Wu Wenxuan , Yu Yimin , Ma Feng 

TITLE=An Intelligent Control Model of Credit Line Computing in Intelligence Health-Care Systems

JOURNAL=Frontiers in Public Health

VOLUME=Volume 9 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2021.718594

DOI=10.3389/fpubh.2021.718594

ISSN=2296-2565

ABSTRACT=Technologies such as machine learning and artificial intelligence have brought about a tremendous change to biomedical computing and intelligence healthcare. As a principal component  of the intelligence healthcare system, Hospital Information System (HIS) has provided great convenience to hospitals and patients, but incidents of leaking patients' private information through HIS occasionally occur at times. Therefore, it is necessary to properly control excessive access behavior. In order to reduce the risk of patient privacy leakage when medical data is accessed, this paper proposes a dynamic permission intelligent access control model that introduces credit line calculation. According to the target given by the doctor in HIS and the actual access record, the ICD-10 code is used to describe the degree of correlation, and the rationality of the access is formally described by mathematical formula. Redefine the concept of intelligence healthcare credit lines with relevance and time Windows. The access control policy matches the corresponding credit limit and credit interval according to the authorization rules to achieve the purpose of intelligent control. Finally, with the actual data provided by a Grade-III Level-A hospital in Kunming, the program code is written through machine learning and biomedical computing related technologies to complete the experimental test. The experiment proves that the intelligent access control model based on credit computing proposed in this paper can play a role in protecting patients' privacy to a certain extent.