An Approach for Building a Personal Health Information System Using Conceptual Domain Knowledge

Gurupur, Varadraj P.; Suh, Sang C.; Selvaggi, Richard R.; Karla, Pramukh R.; Nair, Jayalekshmi S.; Ajit, Shilpa

doi:10.1007/s10916-012-9842-2

Cited by 15 publications

(11 citation statements)

References 11 publications

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“…Hence, most studies focusing on the privacy protection in hospital information systems are based on the RBAC. Another research mainstream focuses on the improvement of application systems using semantic approaches and medical domain knowledge [18,19]. In the personal health record and health knowledge sharing system design, Lee et al [20] use the Integral Healthcare Enterprise-Cross Enterprise Document Sharing (IHE-XDS) and the W3C Web Ontology Language (OWL) to maintain the Personal Health Records (PHRs) and collate the useful health Web resources related to the personal diseases.…”

Section: Related Workmentioning

confidence: 99%

A Knowledge-Constrained Access Control Model for Protecting Patient Privacy in Hospital Information Systems

Zhang

Chen

Shang

et al. 2018

IEEE J. Biomed. Health Inform.

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Current access control mechanisms of the hospital information system can hardly identify the real access intention of system users. A relaxed access control increases the risk of compromise of patient privacy. To reduce unnecessary access of patient information by hospital staff, this paper proposes a knowledge-constrained role-based access control (KC-RBAC) model in which a variety of medical domain knowledge is considered in access control. Based on the proposed Purpose Tree and knowledge-involved algorithms, the model can dynamically define the boundary of access to the patient information according to the context, which helps to protect patient privacy by controlling access. Compared with the role-based access control model, KC-RBAC can effectively protect patient information according to the results of the experiments.

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Section: Related Workmentioning

confidence: 99%

A Knowledge-Constrained Access Control Model for Protecting Patient Privacy in Hospital Information Systems

Zhang

Chen

Shang

et al. 2018

IEEE J. Biomed. Health Inform.

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“…Related literature shows that Information technology has rapidly transformed the field of healthcare in the recent years [11,12]. Management of information is one of the basic aspects of the healthcare systems and the process of adapting new information systems to healthcare has proven to be challenging and time consuming.…”

Section: A Brief Survey Of Some Of the Existing Systems For Providmentioning

confidence: 99%

“…To achieve this purpose, several organizations have developed systems that provide help in medical decision making. Some of these systems popularly known as Personal Health Information Systems (PHIS) help individuals in analyzing their health and receiving advice based on the inputs they provide to the system [11].…”

Section: A Brief Survey Of Some Of the Existing Systems For Providmentioning

confidence: 99%

An intelligent multi-agent system architecture for enhancing self-management of type 2 diabetic patients

Darabi

Zarandi

Solgi

et al. 2015

2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

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This paper presents a multi agent system which can help type 2 diabetic patients. Because of diabetes nature, medical care and lifestyle can both prevent the complications of this illness, so self-managing is very crucial for these patients. Therefore, each effective factor of controlling diabetes and increasing patients' knowledge including: suitable diet and monitoring blood glucose level, is assigned to be an agent which works independently whilst coordinates and cooperates with other agents. The proposed architecture of this multi agent system organizes all the various agents of this system in a way that not only each of them can accomplish their responsibility, but also they can have effective interaction with other agents. This designed system has the ability to develop a model that can be easily used by patients suffering from type 2 diabetes.

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“…The use of knowledge bases within EHRs is not novel, previous researchers connected knowledge bases with EHRs for different purposes [18,19]. Knowledge bases are also used in clinical settings for different purposes [20,21]. However, we used OWL-DL to represent and organize the knowledge base thereby adopting all the advantages derived from OWL-DL, such as to provide explicit and consistent information.…”

Section: Significancementioning

confidence: 99%

Integration of an OWL-DL Knowledge Base with an EHR Prototype and Providing Customized Information

et al. 2014

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When clinicians use electronic health record (EHR) systems, their ability to obtain general knowledge is often an important contribution to their ability to make more informed decisions. In this paper we describe a method by which an external, formal representation of clinical and molecular genetic knowledge can be integrated into an EHR such that customized knowledge can be delivered to clinicians in a context-appropriate manner.Web Ontology Language-Description Logic (OWL-DL) is a formal knowledge representation language that is widely used for creating, organizing and managing biomedical knowledge through the use of explicit definitions, consistent structure and a computer-processable format, particularly in biomedical fields. In this paper we describe: 1) integration of an OWL-DL knowledge base with a standards-based EHR prototype, 2) presentation of customized information from the knowledge base via the EHR interface, and 3) lessons learned via the process. The integration was achieved through a combination of manual and automatic methods. Our method has advantages for scaling up to and maintaining knowledge bases of any size, with the goal of assisting clinicians and other EHR users in making better informed health care decisions.

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An Approach for Building a Personal Health Information System Using Conceptual Domain Knowledge

Cited by 15 publications

References 11 publications

A Knowledge-Constrained Access Control Model for Protecting Patient Privacy in Hospital Information Systems

A Knowledge-Constrained Access Control Model for Protecting Patient Privacy in Hospital Information Systems

An intelligent multi-agent system architecture for enhancing self-management of type 2 diabetic patients

Integration of an OWL-DL Knowledge Base with an EHR Prototype and Providing Customized Information

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