Literature DB >> 24551317

A simple method to extract key maternal data from neonatal clinical notes.

Swapna Abhyankar1, Dina Demner-Fushman1.   

Abstract

Knowledge about maternal history is critical for guiding certain aspects of newborn clinical care as well as for research on neonatal issues. However, often the only maternal history available in the newborn record is in the clinical notes. We are using data from the MIMIC-II database for a clinical study on newborns admitted to the intensive care unit. Important maternal data were only available in the newborn notes, so we developed a simple algorithm to extract those data. We manually derived patterns for maternal age, gravida/para status, and laboratory results by reviewing a small set of notes. Using regular expressions and specific filters for notes and results, we extracted maternal data with recall of 0.91-0.99 and precision of 0.95-1.0 for the 289 infants in our study. Our methods could be used with other research datasets and with clinical documentation systems to extract maternal data into a more useful, structured format.

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Year:  2013        PMID: 24551317      PMCID: PMC3900117     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  9 in total

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Journal:  J Am Med Inform Assoc       Date:  2012-03-21       Impact factor: 4.497

2.  Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database.

Authors:  Mohammed Saeed; Mauricio Villarroel; Andrew T Reisner; Gari Clifford; Li-Wei Lehman; George Moody; Thomas Heldt; Tin H Kyaw; Benjamin Moody; Roger G Mark
Journal:  Crit Care Med       Date:  2011-05       Impact factor: 7.598

Review 3.  Natural language processing: an introduction.

Authors:  Prakash M Nadkarni; Lucila Ohno-Machado; Wendy W Chapman
Journal:  J Am Med Inform Assoc       Date:  2011 Sep-Oct       Impact factor: 4.497

4.  Extracting information on pneumonia in infants using natural language processing of radiology reports.

Authors:  Eneida A Mendonça; Janet Haas; Lyudmila Shagina; Elaine Larson; Carol Friedman
Journal:  J Biomed Inform       Date:  2005-03-30       Impact factor: 6.317

Review 5.  American Academy of Pediatrics. Pediatric Practice Action Group and Task Force on Medical Informatics. Privacy protection and health information: patient rights and pediatrician responsibilities.

Authors:  L Chilton; J E Berger; P Melinkovich; R Nelson; P D Rappo; J Stoddard; J Swanson; C Vanchiere; J Lustig; E M Gotlieb; L Deutsch; R Gerstle; A Lieberthal; R Shiffman; S A Spooner; M Stern
Journal:  Pediatrics       Date:  1999-10       Impact factor: 7.124

6.  A general natural-language text processor for clinical radiology.

Authors:  C Friedman; P O Alderson; J H Austin; J J Cimino; S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

7.  Postexposure prophylaxis of hepatitis B.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1984-06-01       Impact factor: 17.586

8.  MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring.

Authors:  M Saeed; C Lieu; G Raber; R G Mark
Journal:  Comput Cardiol       Date:  2002

Review 9.  What can natural language processing do for clinical decision support?

Authors:  Dina Demner-Fushman; Wendy W Chapman; Clement J McDonald
Journal:  J Biomed Inform       Date:  2009-08-13       Impact factor: 6.317

  9 in total
  3 in total

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Journal:  JMIR Med Inform       Date:  2022-06-10

Review 2.  Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.

Authors:  Kory Kreimeyer; Matthew Foster; Abhishek Pandey; Nina Arya; Gwendolyn Halford; Sandra F Jones; Richard Forshee; Mark Walderhaug; Taxiarchis Botsis
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3.  Normalization of Phenotypic Data from a Clinical Data Warehouse: Case Study of Heterogeneous Blood Type Data with Surprising Results.

Authors:  James J Cimino
Journal:  Stud Health Technol Inform       Date:  2015
  3 in total

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