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Errors associated with medication documentation account for a substantial fraction of preventable medical errors. Hence, the Joint Commission has called for the adoption of reconciliation strategies at all United States healthcare institutions. Although studies suggest that reconciliation tools can reduce errors, it remains unclear how best to implement systems and processes that are reliable and sensitive to clinical workflow. The authors designed a primary care process that supported reconciliation without [...]

OBJECTIVE To compare information obtained from narrative and structured electronic sources using anti-hypertensive medication intensification as an example clinical issue of interest. DESIGN A retrospective cohort study of 5,634 hypertensive patients with diabetes from 2000 to 2005. MEASUREMENTS The authors determined the fraction of medication intensification events documented in both narrative and structured data in the electronic medical record. The authors analyzed the relationship between provider characteristics and concordance between [...]

To assess the performance of electronic health record data for syndromic surveillance and to assess the feasibility of broadly distributed surveillance.

We explored automated concept-based indexing of unstructured figure captions to improve retrieval of images from radiology journals.

The Canadian Health Outcomes for Better Information and Care (C-HOBIC) project introduced systematic use of standardized clinical nursing terminology for patient assessments. Implemented so far in three Canadian provinces, C-HOBIC comprises an innovative model for large-scale capture of standardized nursing-sensitive clinical outcomes data within electronic health records (EHRs). To support this activity, nursing assessment and outcomes concepts were mapped to the International Classification for Nursing Practice (ICNP(R)). By comparing serial [...]

OBJECTIVE It is vital to detect the full safety profile of a drug throughout its market life. Current pharmacovigilance systems still have substantial limitations, however. The objective of our work is to demonstrate the feasibility of using natural language processing (NLP), the comprehensive Electronic Health Record (EHR), and association statistics for pharmacovigilance purposes. DESIGN Narrative discharge summaries were collected from the Clinical Information System at New York Presbyterian Hospital (NYPH) [...]

Biomedical named entity recognition (BNER) is a critical component in automated systems that mine biomedical knowledge in free text. Among different types of entities in the domain, gene/protein would be the most studied one for BNER. Our goal is to develop a gene/protein name recognition system BioTagger-GM that exploits rich information in terminology sources using powerful machine learning frameworks and system combination.

The purpose of this study was to evaluate the adequacy of the International Classification of Nursing Practice (1) (ICPN) Version 1.0 as a representational model for nursing assessment documentation.

This paper proposes, in words and pictures, a "fundamental theorem" to help clarify what informatics is and what it is not. In words, the theorem stipulates that a person working in partnership with an information resource is "better" than that same person unassisted. The theorem is applicable to health care, research, education, and administrative activities. Three corollaries to the theorem illustrate that informatics is more about people than technology; that [...]