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SHARE: towards usable, trustworthy and interoperable synthetic health data for rare diseases. [PDF]
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Communications of the ACM, 2022
A discussion with James Agnew, Pat Helland, and Adam Cole.
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A discussion with James Agnew, Pat Helland, and Adam Cole.
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2025 IEEE World AI IoT Congress (AIIoT)
Enhancing clinical decision support (CDS), reducing documentation burdens, and improving patient health literacy remain persistent challenges in digital health.
Abul Ehtesham, Aditi Singh, Saket Kumar
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Enhancing clinical decision support (CDS), reducing documentation burdens, and improving patient health literacy remain persistent challenges in digital health.
Abul Ehtesham, Aditi Singh, Saket Kumar
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Applied Clinical Informatics
Abstract Background Standardizing and formalizing consent processes and forms can prevent ambiguities, convey a more precise meaning, and support machine interpretation of consent terms. Objectives Our goal was to introduce a systematic approach to standardizing and digitizing pediatric consent forms, which are complex due to legal ...
Anton, Voronov +8 more
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Abstract Background Standardizing and formalizing consent processes and forms can prevent ambiguities, convey a more precise meaning, and support machine interpretation of consent terms. Objectives Our goal was to introduce a systematic approach to standardizing and digitizing pediatric consent forms, which are complex due to legal ...
Anton, Voronov +8 more
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BlockMed: AI Driven HL7-FHIR Translation with Blockchain-Based Security
International Journal of Advanced Computer Science and Applications—Blockchain is a peer-to-peer (P2P) network that distributes information and protects data integrity, security, and privacy. Constant simplification is required for information exchange.
Yonis Gulzar +5 more
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Visual FHIR: An Interactive Browser to Navigate HL7 FHIR Specification
2017 IEEE International Conference on Healthcare Informatics (ICHI), 2017The HL7 Fast Healthcare Interoperability Resources (FHIR) specification is emerging as a next generation standards framework for the exchange of electronic health records (EHR) data. The rich semantic representation and sophisticated structure definition of the FHIR requires a relatively deep learning curve to understand and utilize.
Na Hong +3 more
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