Data from clinical notes: a perspective on the tension between structure and flexible documentation

By S. Rosenbloom, Joshua Charles Denny, Hua Xu, N. Lorenzi, W. Stead, Kevin B. Johnson. J. Am. Medical Informatics Assoc., 2011

413 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Health Information Management, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/873bc5ca1161285a72a30721fbf67f2869983fbf

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Citations in the corpus

Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances (2018, neutral): “ease of access to pre-structured data) rather than the preferences of the clinical staff actually entering data [39].”
Electronic medical record phenotyping using the anchor and learn framework (2016, background): “Allowing free-text input is important because it provides health care providers with the expressiveness of natural language to convey the nuances of a patient’s unique presentation and history.(3) Unfortunately, this expressiveness makes it more challenging to process the data in meaningful ways.”
Clinical Text Data in Machine Learning: Systematic Review (2020, background): “In comparison with generically coded elements of electronic health records (EHRs), the narrative notes provide a more detailed and personalized account of patient history and assessments, offering a better context for clinical decision making [1].”
Supporting Information Retrieval from Electronic Health Records: A Report of University of Michigan's Nine-Year Experience in Developing and Using the Electronic Medical Record Search Engine (EMERSE) (2015, neutral): “While structured data at the time of entry is desirable, unstructured clinical documentation is likely to persist due to the need by clinicians to express their thoughts in a flexible manner and to preserve the complexity and nuances of each patient [3,4].”
Mining electronic health records: towards better research applications and clinical care (2012, background): “Free text allows the flexibility to express case nuances and clinical reasoning; this flexibility is valued by clinicians and is not easily replaced by structured reporting formats that are often considered inflexible and time consuming 23 .”