التفاصيل البيبلوغرافية
| العنوان: |
Context-Based, Predictive Access Control to Electronic Health Records |
| المؤلفون: |
Evgenia Psarra, Dimitris Apostolou, Yiannis Verginadis, Ioannis Patiniotakis, Gregoris Mentzas |
| المصدر: |
Electronics; Volume 11; Issue 19; Pages: 3040 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2022 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
sequential health data, decision making, context-aware services, attribute-based access control, electronic health records, emergency services, long short term memory, machine learning, neural networks, medical prognosis |
| الوصف: |
Effective access control techniques are in demand, as electronically assisted healthcare services require the patient’s sensitive health records. In emergency situations, where the patient’s well-being is jeopardized, different healthcare actors associated with emergency cases should be granted permission to access Electronic Health Records (EHRs) of patients. The research objective of our study is to develop machine learning techniques based on patients’ time sequential health metrics and integrate them with an Attribute Based Access Control (ABAC) mechanism. We propose an ABAC mechanism that can yield access to sensitive EHRs systems by applying prognostic context handlers where contextual information, is used to identify emergency conditions and permit access to medical records. Specifically, we use patients’ recent health history to predict the health metrics for the next two hours by leveraging Long Short Term Memory (LSTM) Neural Networks (NNs). These predicted health metrics values are evaluated by our personalized fuzzy context handlers, to predict the criticality of patients’ status. The developed access control method provides secure access for emergency clinicians to sensitive information and simultaneously safeguards the patient’s well-being. Integrating this predictive mechanism with personalized context handlers proved to be a robust tool to enhance the performance of the access control mechanism to modern EHRs System. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Computer Science & Engineering; https://dx.doi.org/10.3390/electronics11193040 |
| DOI: |
10.3390/electronics11193040 |
| الاتاحة: |
https://doi.org/10.3390/electronics11193040 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.B6344A34 |
| قاعدة البيانات: |
BASE |