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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=electronic+health+record">
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  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=electronic+health+record]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for electronic health record]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/152/Context-Aware-System-to-Create-Electronic-Medical-Encounter-Records"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/145/Electronic-Medical-Records"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1174/Comparison-of-attribute-based-encryption-schemes-in-securing-healthcare-systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1058/Semantically-Rich-Differential-Access-to-Secure-Cloud-EHR"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1024/Semantically-Rich-Access-Control-in-Cloud-EHR-Systems-Based-on-MA-ABE"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/852/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/988/Secure-Cloud-EHR-with-Semantic-Access-Control-Searchable-Encryption-and-Attribute-Revocation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/987/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/962/Cloud-based-Encrypted-EHR-System-with-Semantically-Rich-Access-Control-and-Searchable-Encryption"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/858/Multi-Authority-Access-Control-in-a-Cloud-EHR-System-with-MA-ABE"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/726/Visualization-of-Pain-Severity-Events-Using-Semantic-Structures"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/356/Text-and-Ontology-Driven-Clinical-Decision-Support-System"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[This thesis discusses our ongoing research in the domain of text and ontology driven clinical decision support system. The proposed framework uses text analytics to extract clinical entities from electronic health records and semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the patient. The KB is then queried to provide...]]></description>
  <dc:date>2013-04-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/152/Context-Aware-System-to-Create-Electronic-Medical-Encounter-Records">
  <title><![CDATA[Context-Aware System to Create Electronic Medical Encounter Records]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/152/Context-Aware-System-to-Create-Electronic-Medical-Encounter-Records</link>
  <description><![CDATA[An Electronic Health Record (EHR) is a medical record or any other information relating to the past, present or future physical and mental health, or condition of a patient which resides in computers for the primary purpose of providing health care and health-related services.

    EHRs improve clinical quality by providing ready access to all relevant clinical information at the time of the patient encounter or phone call, receipt of clinical alerts at the point of care, the ability to ...]]></description>
  <dc:date>2006-05-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/145/Electronic-Medical-Records">
  <title><![CDATA[Electronic Medical Records]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/145/Electronic-Medical-Records</link>
  <description><![CDATA[An Electronic Health Record (EHR) is a medical record or any other information relating to the past, present or future physical and mental health, or condition of a patient which resides in computers for the primary purpose of providing health care and health-related services. EHRs improve clinical quality by providing ready access to all relevant clinical information at the time of the patient encounter or phone call, receipt of clinical alerts at the point of care, the ability to easily...]]></description>
  <dc:date>2006-04-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[In this work, we discuss our ongoing research in the domain of text and ontology driven clinical
decision support system. The proposed framework uses text analytics to extract clinical entities
from electronic health records and semantic web analytics to generate a domain specific
knowledge base (KB) of patients‟ clinical facts. Clinical Rules expressed in the Semantic Web
Language OWL are used to reason over the KB to infer additional facts about the patient. The
KB is then queried to...]]></description>
  <dc:date>2012-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records">
  <title><![CDATA[Leveraging semantic context to establish access controls for secure cloud-based electronic health records]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records</link>
  <description><![CDATA[With the continuous growth of cloud-based Electronic Health Record (EHR) systems and medical data, medical organizations are particularly concerned about storing patient data to provide fast services while adhering to privacy and security concerns. Existing EHR systems often face challenges in handling heterogeneous data and maintaining good performance with data growth. These systems mostly use relational databases or partially store data in a knowledge graph, making it challenging to handle...]]></description>
  <dc:date>2024-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1174/Comparison-of-attribute-based-encryption-schemes-in-securing-healthcare-systems">
  <title><![CDATA[Comparison of attribute‑based encryption schemes in securing healthcare systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1174/Comparison-of-attribute-based-encryption-schemes-in-securing-healthcare-systems</link>
  <description><![CDATA[E-health has become a top priority for healthcare organizations focused on advancing healthcare
services. Thus, medical organizations have been widely adopting cloud services, resulting in the
effective storage of sensitive data. To prevent privacy and security issues associated with the data,
attribute-based encryption (ABE) has been a popular choice for encrypting private data. Likewise,
the attribute-based access control (ABAC) technique has been widely adopted for controlling data
ac...]]></description>
  <dc:date>2024-03-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1058/Semantically-Rich-Differential-Access-to-Secure-Cloud-EHR">
  <title><![CDATA[Semantically Rich Differential Access to Secure Cloud EHR]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1058/Semantically-Rich-Differential-Access-to-Secure-Cloud-EHR</link>
  <description><![CDATA[Existing Cloud-based Electronic Health Record (EHR) services face challenges in handling heterogeneous data and maintaining performance with large records since they often use a relational database or only partially store information in a graph database. We have developed a novel approach that allows fine-grained field-level security for Cloud EHRs to protect patient privacy and data security. Our graph-based EHR has been developed by integrating Attribute-based Encryption (ABE) with ontology...]]></description>
  <dc:date>2023-05-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1024/Semantically-Rich-Access-Control-in-Cloud-EHR-Systems-Based-on-MA-ABE">
  <title><![CDATA[Semantically Rich Access Control in Cloud EHR Systems Based on MA-ABE]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1024/Semantically-Rich-Access-Control-in-Cloud-EHR-Systems-Based-on-MA-ABE</link>
  <description><![CDATA[Winner of the Best Paper Award in the conferenceWith the rapid implementation of Cloud-based Electronic Health Record (EHR) systems, health providers are specifically concerned about handling data privacy on the cloud. Existing methods have either scalability issues by requiring that patients grant access to their medical data or a trust issue by having a single authority, thereby creating the problem of a single point of attack. Hence there is a need to develop an EHR system that addresses t...]]></description>
  <dc:date>2022-05-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/852/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption">
  <title><![CDATA[Delegated Authorization Framework for EHR Services using Attribute Based Encryption]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/852/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption</link>
  <description><![CDATA[Medical organizations find it challenging to adopt cloud-based Electronic Health Records (EHR) services due to the risk of data breaches and the resulting compromise of patient data. Existing authorization models follow a patient-centric approach for EHR management, where the responsibility of authorizing data access is handled at the patient's end. This creates a significant overhead for the patient who must authorize every access of their health record. This is not practical given that mult...]]></description>
  <dc:date>2021-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/988/Secure-Cloud-EHR-with-Semantic-Access-Control-Searchable-Encryption-and-Attribute-Revocation">
  <title><![CDATA[Secure Cloud EHR with Semantic Access Control, Searchable Encryption and Attribute Revocation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/988/Secure-Cloud-EHR-with-Semantic-Access-Control-Searchable-Encryption-and-Attribute-Revocation</link>
  <description><![CDATA[To ensure a secure Cloud-based Electronic Health Record (EHR) system, we need to encrypt data and impose field-level access control to prevent malicious usage. Since the attributes of the Users will change with time, the encryption policies adopted may also vary. For large EHR systems, it is often necessary to search through the encrypted data in realtime and perform client-side computations without decrypting all patient records. This paper describes our novel cloud-based EHR system that use...]]></description>
  <dc:date>2021-09-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/987/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption">
  <title><![CDATA[Delegated Authorization Framework for EHR Services using Attribute Based Encryption]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/987/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption</link>
  <description><![CDATA[Medical organizations find it challenging to adopt cloud-based Electronic Health Records (EHR) services due to the risk of data breaches and the resulting compromise of patient data. Existing authorization models follow a patient-centric approach for EHR management, where the responsibility of authorizing data access is handled at the patients’ end. This creates significant overhead for the patient, who must authorize every access to their health record. It is also not practical, given that...]]></description>
  <dc:date>2021-09-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/962/Cloud-based-Encrypted-EHR-System-with-Semantically-Rich-Access-Control-and-Searchable-Encryption">
  <title><![CDATA[Cloud-based Encrypted EHR System with Semantically Rich Access Control and Searchable Encryption]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/962/Cloud-based-Encrypted-EHR-System-with-Semantically-Rich-Access-Control-and-Searchable-Encryption</link>
  <description><![CDATA[Cloud-based electronic health records (EHR) systems provide important security controls by encrypting patient data. However, these records cannot be queried without decrypting the entire record. This incurs a huge amount of burden in network bandwidth and the client-side computation. As the volume of cloud-based EHRs reaches Big Data levels, it is essential to search over these encrypted patient records without decrypting them to ensure that the medical caregivers can efficiently access the E...]]></description>
  <dc:date>2020-12-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/858/Multi-Authority-Access-Control-in-a-Cloud-EHR-System-with-MA-ABE">
  <title><![CDATA[Multi Authority Access Control in a Cloud EHR System with MA-ABE]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/858/Multi-Authority-Access-Control-in-a-Cloud-EHR-System-with-MA-ABE</link>
  <description><![CDATA[With the rapid adoption of Cloud-based Electronic Health Record (EHR) systems, health providers are particularly concerned about managing data privacy on the cloud. Existing approaches have either a scalability bottleneck by requiring that patients approve each sharing of their medical data or a trust bottleneck by having a single authority control every access thereby creating the problem of a single point of attack.
To address both these bottlenecks, we have developed a novel framework tha...]]></description>
  <dc:date>2019-07-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/726/Visualization-of-Pain-Severity-Events-Using-Semantic-Structures">
  <title><![CDATA[Visualization of Pain Severity Events Using Semantic Structures]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/726/Visualization-of-Pain-Severity-Events-Using-Semantic-Structures</link>
  <description><![CDATA[Physicians are often required to make critical medical decisions that may be based on previous events in the patient's health history.  However, these events may be very difficult to locate in the patient record due to the large volume of unstructured textual data in the patient's chart.  Even when the chart is housed in an electronic health record (EMR) system, keyword search within the chart may produce many results that are not relevant or that may overlook related expressions and concepts...]]></description>
  <dc:date>2016-02-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/356/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/356/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[In this work, we discuss our ongoing research in the domain of text and ontology driven clinical
decision support system. The proposed framework uses text analytics to extract clinical entities
from electronic health records and semantic web analytics to generate a domain specific
knowledge base (KB) of patients‟ clinical facts. Clinical Rules expressed in the Semantic Web
Language OWL are used to reason over the KB to infer additional facts about the patient. The
KB is then queried to...]]></description>
  <dc:date>2013-05-31</dc:date>
 </item>
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