The HL7 Clinical Document Architecture.

By R. Dolin, L. Alschuler, C. Beebe, P. V. Biron, S. Boyer, D. Essin, E. Kimber, T. Lincoln, J. Mattison. JAMIA Journal of the American Medical Informatics Association, 2001

382 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7d4c516578059e26c29ce0c6aa678c6d8064a1fd

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Citations in the corpus

The extensible neuroimaging archive toolkit (2007, methodology): “developed or are currently developing standards in XML (Keator et al., 2006; Westbrook et al., 2005; Zhao et al., 2005; Wang et al., 2002; Dolin et al., 2001).”
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond (2021, background): “However, the creation of interoperable systems that follow the requirement for the representation of clinical knowledge is important for the broad adoption of such technology [67].”
Model Formulation: HL7 Clinical Document Architecture, Release 2 (2006, unknown): “Clinical Document Architecture, Release One (CDA R1), became an American National Standards Institute (ANSI)– approved Health Level 7 (HL7) Standard in November 2000, representing the first specification derived from the HL7 Reference Information Model (RIM).(1,2) CDA, Release Two (CDA R2), became a”
FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data (2018, methodology): “Although we advocate FHIR in the paper because it has been used quite frequently and it supports fine-grained data exchange, the principles behind the system described here can also be used with other standards like HL7 v2 [57].”
Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research (2008, methodology): “It was faster than MMTx [73] and was proposed as a new option in MMTx. Systems based on full or partial parsing were based on morpho-semantems (i.e., elementary meaningful units that compose words and are prefixes like oto-or suffixes like -itis) [74], on lexical and/or syntactic information such as”
Patient Safety: Achieving a New Standard for Care (2004, background): “The CDA provides a hierarchical set of specifications for the structure of clinical documents and derives its semantic content from the RIM (Dolin et al., 2001).”