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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=healthcare">
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/480/Beyond-NER-Towards-Semantics-in-Clinical-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/447/Generating-Linked-Data-from-Tables-"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/430/talk-Self-sustainable-Cyber-physical-System-Design"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/161/Manufacturing-Metrology-and-Standards-for-the-HealthCare-Enterprise"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/110/Medical-Data-Polygraph"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/111/Medical-Device-Regulatory-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/99/Policy-Compliant-Integration-of-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1219/Addressing-Improper-Payments-in-Government-Healthcare-through-Blockchain-and-Generative-AI"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1181/Global-Relevance-of-Online-Health-Information-Sources-A-Case-Study-of-Experiences-and-Perceptions-of-Nigerians"/>
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      <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/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1099/Developing-Ethics-and-Equity-Principles-Terms-and-Engagement-Tools-to-Advance-Health-Equity-and-Researcher-Diversity-in-AI-and-Machine-Learning-Modified-Delphi-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1060/Policy-Integrated-Blockchain-to-Automate-HIPAA-Part-2-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/40/Healthcare-Medical"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/289/Computational-Image-Classification"/>
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 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/480/Beyond-NER-Towards-Semantics-in-Clinical-Text">
  <title><![CDATA[Beyond NER: Towards Semantics in Clinical Text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/480/Beyond-NER-Towards-Semantics-in-Clinical-Text</link>
  <description><![CDATA[While clinical text NLP systems have become very effective in recognizing named entities in clinical text and mapping them to standardized terminologies in the normalization process, there remains a gap in the ability of extractors to combine entities together into a complete semantic representation of medical concepts that contain multiple attributes each of which has its own set of allowed named entities or values. Furthermore, additional domain knowledge may be required to determine the se...]]></description>
  <dc:date>2015-10-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables">
  <title><![CDATA[TABEL -- A Domain Independent and Extensible Framework for Inferring the Semantics of Tables]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables</link>
  <description><![CDATA[ 

 Dissertation Defense

Tables are an integral part of documents, reports and Web pages in many scientific and technical domains, compactly encoding important information that can be difficult to express in text. Table-like structures outside documents, such as spreadsheets, CSV files, log files and databases, are widely used to represent and share information. However, tables remain beyond the scope of regular text processing systems which often treat them like free text.

This ...]]></description>
  <dc:date>2015-01-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/447/Generating-Linked-Data-from-Tables-">
  <title><![CDATA[Generating Linked Data from Tables.]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/447/Generating-Linked-Data-from-Tables-</link>
  <description><![CDATA[Large amounts of information is stored in tables, spreadsheets, CSV files and databases for a number of domains, including the Web, healthcare, e-science and public policy. The tables' structure facilitates human understanding, yet this very structure makes it difficult for machine understanding. This talk will focus on describing our work on making the intended meaning of tabular data explicit by representing it as RDF linked data, potentially making large amounts of scientific and medical d...]]></description>
  <dc:date>2013-03-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/434/Cyber-Physical-Social-Systems-Research-Challenges">
  <title><![CDATA[Cyber-Physical Social Systems: Research Challenges]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/434/Cyber-Physical-Social-Systems-Research-Challenges</link>
  <description><![CDATA[We are witnessing a new revolution in computing and communication. The Internet, which has spanned several networks in a wide variety of domains, is having a significant impact on every aspect of our lives. The next generation of networks will utilize a wide variety of resources with significant sensing capabilities. Such networks will extend beyond physically linked computers to include multimodal information from biological, cognitive, semantic, and social networks. This paradigm shift will...]]></description>
  <dc:date>2012-04-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/430/talk-Self-sustainable-Cyber-physical-System-Design">
  <title><![CDATA[talk: Self-sustainable Cyber-physical System Design]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/430/talk-Self-sustainable-Cyber-physical-System-Design</link>
  <description><![CDATA[Renewable energy can enable diverse self-sustainable cyber-physical systems with applications ranging from healthcare to off-grid home energy management. However, there are several challenges that need to be addressed before such systems can be realized. For instance, how do we balance the small and often variable energy budgets imposed by renewables with system functionality? How can we design sensitive physical sensors and efficient harvesting circuits for mW energy sources such as sound an...]]></description>
  <dc:date>2012-03-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/375/Towards-Cooperative-Autonomous-Resilient-Defenses-in-Cyberspace">
  <title><![CDATA[Towards Cooperative Autonomous Resilient Defenses in Cyberspace]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/375/Towards-Cooperative-Autonomous-Resilient-Defenses-in-Cyberspace</link>
  <description><![CDATA[Cyberspace is becoming the nervous system of our modern society as it is increasingly being integrated in virtually all aspects of control and communications. From worldwide social interactions and gaming to smart infrastructure systems in energy, healthcare, transportation, and emergency response, all are enabled and advanced by operations within cyberspace. Today’s cyberspace comprises highly dynamic, interdependent global network of information technology infrastructures, telecommunicati...]]></description>
  <dc:date>2010-10-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/161/Manufacturing-Metrology-and-Standards-for-the-HealthCare-Enterprise">
  <title><![CDATA[Manufacturing Metrology and Standards for the HealthCare Enterprise]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/161/Manufacturing-Metrology-and-Standards-for-the-HealthCare-Enterprise</link>
  <description><![CDATA[Spending on healthcare in the United States was about 13.2% of the GDP in 2000, which is $1.3 trillion, and continues to grow at the rate of 7.3% per year. This amount will reach $2.8 trillion dollars by 2011 (around 17% of the GDP). Healthcare and manufacturing share many similar organizational, technological and informational issues. Thus, the healthcare industry as a whole is a customer for the metrology, standard-setting support and technology approaches and solutions that our laboratory ...]]></description>
  <dc:date>2006-06-09</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/project/html/id/110/Medical-Data-Polygraph">
  <title><![CDATA[Medical Data Polygraph]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/110/Medical-Data-Polygraph</link>
  <description><![CDATA[Healthcare organizations exchange sensitive health records, including behavioral health data, across peer-to-peer networks, and it is challenging to find and fix compliance issues proactively.

The Healthcare industry anticipates a growing need to audit substance use disorder patient data, commonly referred to as Part 2 data, having been shared without a release of information signed by the patient. To address this need, we developed and evaluated a novel methodology to detect Part 2 data e...]]></description>
  <dc:date>2022-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/111/Medical-Device-Regulatory-Compliance">
  <title><![CDATA[Medical Device Regulatory Compliance]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/111/Medical-Device-Regulatory-Compliance</link>
  <description><![CDATA[Healthcare providers are deploying a large number of AI-driven Medical devices to help monitor and medicate patients. For patients with chronic ailments, like diabetes or gastric diseases, usage of these devices becomes part of their daily lifestyle. These medical devices often capture personally identifiable information (PII) and hence are strictly regulated by the Food and Drug Administration (FDA) to ensure the safety and efficacy of the medical device. Medical device regulations are curre...]]></description>
  <dc:date>2023-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/99/Policy-Compliant-Integration-of-Linked-Data">
  <title><![CDATA[Policy Compliant Integration of Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/99/Policy-Compliant-Integration-of-Linked-Data</link>
  <description><![CDATA[Tim Finin and Anupam Joshi have received a $400,000 research award from the NSF Secure and Trustworthy  Cyberspace (SaTC) program  for a three year project to investigate how to better manage security and privacy constraints while querying semantically annotated linked data sources.  The project, Policy Compliant Integration of Linked Data, is a collaboration with researchers at M.I.T. and the University of Texas at Dallas.

The ubiquity of computing technology and the Internet have created...]]></description>
  <dc:date>2012-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1219/Addressing-Improper-Payments-in-Government-Healthcare-through-Blockchain-and-Generative-AI">
  <title><![CDATA[Addressing Improper Payments in Government Healthcare through Blockchain and Generative AI]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1219/Addressing-Improper-Payments-in-Government-Healthcare-through-Blockchain-and-Generative-AI</link>
  <description><![CDATA[Clinical patient data must be transformed into financial claim formats for submission to state Medicaid agencies and the federal Centers for Medicare and Medicaid Services (CMS). This is achieved through a process called electronic data interchange (EDI), which is specified in regulation and has standards for data definition that are maintained by the American National Standards Institute/Accredited Standards Committee X12. This standard and the data exchange process is the financial gas and ...]]></description>
  <dc:date>2026-04-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1214/Measuring-the-Compliance-Costs-of-Exchanging-Part-2-Healthcare-Claims-Data-Through-Blockchain">
  <title><![CDATA[Measuring the Compliance Costs of Exchanging Part 2 Healthcare Claims Data Through Blockchain]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1214/Measuring-the-Compliance-Costs-of-Exchanging-Part-2-Healthcare-Claims-Data-Through-Blockchain</link>
  <description><![CDATA[Patient selections for keeping data confidential may differ between healthcare organizations, creating conflicts
in confidentiality for how sensitive and demographic data is linked and merged. Validating that patient data
exchange between organizations adheres to healthcare regulations, like the Health Insurance Portability and
Accountability Act (HIPAA), is challenging and time-consuming and relies upon organizational due diligence
to validate data upon receipt, or in the case of breache...]]></description>
  <dc:date>2026-03-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach">
  <title><![CDATA[Real-Time Detection of Online Health Misinformation using an Integrated Knowledgegraph-LLM Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach</link>
  <description><![CDATA[Winner of Best Student Paper Award 
The dramatic surge of health misinformation on social media platforms poses a significant threat to public health, contributing to hesitancy in vaccines, delayed medical interventions, and the adoption of untested or harmful treatments. We present a novel, hybrid AI-driven framework designed for the real-time detection of health misinformation on social media platforms while prioritizing user privacy. The framework integrates the strengths of Large Langua...]]></description>
  <dc:date>2025-07-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance">
  <title><![CDATA[MedReg-KG: KnowledgeGraph for Streamlining Medical Device Regulatory Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance</link>
  <description><![CDATA[Healthcare providers are deploying a large number
of AI-driven Medical devices to help monitor and medicate
patients. For patients with chronic ailments, like diabetes or
gastric diseases, usage of these devices becomes part of their
daily lifestyle. These medical devices often capture personally
identifiable information (PII) and hence are strictly regulated by
the Food and Drug Administration (FDA) to ensure the safety
and efficacy of the medical device. Medical device regulations
a...]]></description>
  <dc:date>2024-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1181/Global-Relevance-of-Online-Health-Information-Sources-A-Case-Study-of-Experiences-and-Perceptions-of-Nigerians">
  <title><![CDATA[Global Relevance of Online Health Information Sources: A Case Study of  Experiences and Perceptions of Nigerians]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1181/Global-Relevance-of-Online-Health-Information-Sources-A-Case-Study-of-Experiences-and-Perceptions-of-Nigerians</link>
  <description><![CDATA[Online health information sources (OHIS) offer potential for improving access to health information especially in areas with limited healthcare infrastructure. However, OHIS predominantly originates from Western societies potentially ignoring the specific needs and cultural contexts of diverse populations. There is limited research on the global suitability of OHIS content. This study explores the global relevance of OHIS for diverse populations through a case study examining user experiences...]]></description>
  <dc:date>2024-11-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1176/Exploring-the-Impact-of-Increased-Health-Information-Accessibility-in-Cyberspace-on-Trust-and-Self-care-Practices">
  <title><![CDATA[Exploring the Impact of Increased Health Information Accessibility in Cyberspace on Trust and Self-care Practices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1176/Exploring-the-Impact-of-Increased-Health-Information-Accessibility-in-Cyberspace-on-Trust-and-Self-care-Practices</link>
  <description><![CDATA[More health information is in cyberspace than ever before, presenting
both opportunities and challenges for health information
seeking and self-care practices, particularly in underserved populations
who face health disparities for various reasons, including
limited healthcare access and high costs. We have investigated the
effect of increased health information accessibility in cyberspace on
self-care practices and trust in underserved populations of African
descent by surveying how i...]]></description>
  <dc:date>2024-06-21</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/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations">
  <title><![CDATA[Secure and Privacy-Compliant Data Sharing: An Essential Framework for Healthcare  Organizations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations</link>
  <description><![CDATA[Data integration from multiple sources can improve decision-making and predict epidemiological trends. While there are many ben-
eőts to data integration, there are also privacy concerns, especially in healthcare. The Health Insurance Portability and Accountability Act
(HIPAA) is one of the essential regulations in healthcare, and it sets strict standards for the privacy and security of patient data. Often, data integration can be complex because different rules apply to different companie...]]></description>
  <dc:date>2024-01-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1099/Developing-Ethics-and-Equity-Principles-Terms-and-Engagement-Tools-to-Advance-Health-Equity-and-Researcher-Diversity-in-AI-and-Machine-Learning-Modified-Delphi-Approach">
  <title><![CDATA[Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1099/Developing-Ethics-and-Equity-Principles-Terms-and-Engagement-Tools-to-Advance-Health-Equity-and-Researcher-Diversity-in-AI-and-Machine-Learning-Modified-Delphi-Approach</link>
  <description><![CDATA[Background:

Artificial intelligence (AI) and machine learning (ML) technology design and development continues to be rapid, despite major limitations in its current form as a practice and discipline to address all socio-humanitarian issues and complexities. From these limitations emerges an imperative to strengthen AI/ML literacy in underserved communities and build a more diverse AI/ML design and development workforce engaged in health research.

Objective:

AI/ML has the potential to...]]></description>
  <dc:date>2023-09-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1060/Policy-Integrated-Blockchain-to-Automate-HIPAA-Part-2-Compliance">
  <title><![CDATA[Policy Integrated Blockchain to Automate HIPAA Part 2 Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1060/Policy-Integrated-Blockchain-to-Automate-HIPAA-Part-2-Compliance</link>
  <description><![CDATA[Healthcare organizations exchange sensitive health records, including behavioral health data, across peer-to-peer networks, and it is challenging to find and fix compliance issues proactively. The Healthcare industry anticipates a growing need to audit substance use disorder patient data, commonly referred to as Part 2 data, having been shared without a release of information signed by the patient. To address this need, we developed and evaluated a novel methodology to detect Part 2 data exch...]]></description>
  <dc:date>2023-07-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/40/Healthcare-Medical">
  <title><![CDATA[Healthcare/Medical]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/40/Healthcare-Medical</link>
  <description><![CDATA[Projects in the Healthcare or Medical domain]]></description>
  <dc:date>2026-05-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/289/Computational-Image-Classification">
  <title><![CDATA[Computational Image Classification]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/289/Computational-Image-Classification</link>
  <dc:date>2010-02-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/181/Context-Aware-Surgical-Training-Environment">
  <title><![CDATA[Context Aware Surgical Training Environment]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/181/Context-Aware-Surgical-Training-Environment</link>
  <description><![CDATA[As part of the University of Maryland Medical School’s Operating Room of the Future Project we are developing a prototype context aware surgical training environment (CAST).  This facility will become part of the University of Maryland Surgical Simula-tion Training Center (SIMCenter) being built in Baltimore.  The CAST system will be used to explore the role that an intelligent pervasive computing environment can play to enhance the training of surgery students, residents and specialists.  ...]]></description>
  <dc:date>2006-06-19</dc:date>
 </item>
</rdf:RDF>
