Reconciling disparate information in continuity of care documents: Piloting a system to consolidate structured clinical documents

Masoud Hosseini, Josette Jones, Anthony Faiola, Daniel Vreeman, Huanmei Wu, Brian Dixon

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Background Due to the nature of information generation in health care, clinical documents contain duplicate and sometimes conflicting information. Recent implementation of Health Information Exchange (HIE) mechanisms in which clinical summary documents are exchanged among disparate health care organizations can proliferate duplicate and conflicting information. Materials and methods To reduce information overload, a system to automatically consolidate information across multiple clinical summary documents was developed for an HIE network. The system receives any number of Continuity of Care Documents (CCDs) and outputs a single, consolidated record. To test the system, a randomly sampled corpus of 522 CCDs representing 50 unique patients was extracted from a large HIE network. The automated methods were compared to manual consolidation of information for three key sections of the CCD: problems, allergies, and medications. Results Manual consolidation of 11,631 entries was completed in approximately 150 h. The same data were automatically consolidated in 3.3 min. The system successfully consolidated 99.1% of problems, 87.0% of allergies, and 91.7% of medications. Almost all of the inaccuracies were caused by issues involving the use of standardized terminologies within the documents to represent individual information entries. Conclusion This study represents a novel, tested tool for de-duplication and consolidation of CDA documents, which is a major step toward improving information access and the interoperability among information systems. While more work is necessary, automated systems like the one evaluated in this study will be necessary to meet the informatics needs of providers and health systems in the future.

Original languageEnglish (US)
Pages (from-to)123-129
Number of pages7
JournalJournal of Biomedical Informatics
Volume74
DOIs
StatePublished - Oct 1 2017

Fingerprint

Continuity of Patient Care
Information Services
Health
Consolidation
Allergies
Hypersensitivity
Health care
Delivery of Health Care
Informatics
Terminology
Information Systems
Interoperability
Information systems
Health Information Exchange

Keywords

  • Clinical Document Architecture (CDA)
  • Consolidation
  • Continuity of Care Document (CCD)
  • De-duplication
  • Health Information Exchange (HIE)
  • Health Level Seven (HL7)

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

Cite this

Reconciling disparate information in continuity of care documents : Piloting a system to consolidate structured clinical documents. / Hosseini, Masoud; Jones, Josette; Faiola, Anthony; Vreeman, Daniel; Wu, Huanmei; Dixon, Brian.

In: Journal of Biomedical Informatics, Vol. 74, 01.10.2017, p. 123-129.

Research output: Contribution to journalArticle

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abstract = "Background Due to the nature of information generation in health care, clinical documents contain duplicate and sometimes conflicting information. Recent implementation of Health Information Exchange (HIE) mechanisms in which clinical summary documents are exchanged among disparate health care organizations can proliferate duplicate and conflicting information. Materials and methods To reduce information overload, a system to automatically consolidate information across multiple clinical summary documents was developed for an HIE network. The system receives any number of Continuity of Care Documents (CCDs) and outputs a single, consolidated record. To test the system, a randomly sampled corpus of 522 CCDs representing 50 unique patients was extracted from a large HIE network. The automated methods were compared to manual consolidation of information for three key sections of the CCD: problems, allergies, and medications. Results Manual consolidation of 11,631 entries was completed in approximately 150 h. The same data were automatically consolidated in 3.3 min. The system successfully consolidated 99.1{\%} of problems, 87.0{\%} of allergies, and 91.7{\%} of medications. Almost all of the inaccuracies were caused by issues involving the use of standardized terminologies within the documents to represent individual information entries. Conclusion This study represents a novel, tested tool for de-duplication and consolidation of CDA documents, which is a major step toward improving information access and the interoperability among information systems. While more work is necessary, automated systems like the one evaluated in this study will be necessary to meet the informatics needs of providers and health systems in the future.",
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