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Pediatric Informatics: Computer Applications in Child Health (Health ...

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33 The Case for a <strong>Pediatric</strong> Term<strong>in</strong>ology 433<br />

33.4.1 Creation of a <strong>Pediatric</strong> Cl<strong>in</strong>ical Corpus<br />

One approach that has been undertaken is the development of a pediatric corpus<br />

of cl<strong>in</strong>ical <strong>in</strong>formation (<strong>in</strong>clud<strong>in</strong>g text data) at the C<strong>in</strong>c<strong>in</strong>nati <strong>Child</strong>ren’s Hospital<br />

Medical Center, <strong>in</strong>clud<strong>in</strong>g nurses and surgical notes, discharge summaries, <strong>in</strong>formation<br />

about symptoms, procedures, f<strong>in</strong>d<strong>in</strong>gs, and therapeutic response, genetic<br />

specimen and other data 22 for use <strong>in</strong> experiments with natural language process<strong>in</strong>g<br />

tools and lexical/semantic tagg<strong>in</strong>g.<br />

33.4.2 Workflow-Based Templates<br />

Another approach to creat<strong>in</strong>g term<strong>in</strong>ologies is to def<strong>in</strong>e a cl<strong>in</strong>ical workflow (such as<br />

a well-child visit) <strong>in</strong> terms of the data that are collected, recorded, and processed <strong>in</strong><br />

perform<strong>in</strong>g the task. Representations of these data needs (descriptions of developmental<br />

stages and delays, nutrition, immunizations) are then matched to a candidate<br />

term<strong>in</strong>ology (such as those <strong>in</strong> the CHI, discussed previously) proposed for use <strong>in</strong><br />

the workflow. Evaluation of coverage and level of detail can help identify gaps<br />

with<strong>in</strong> the candidate term<strong>in</strong>ology <strong>in</strong> meet<strong>in</strong>g the term<strong>in</strong>ology needs of the cl<strong>in</strong>ical<br />

workflow.<br />

The requirements of this approach are: (a) a robust term<strong>in</strong>ology that is matched<br />

to the doma<strong>in</strong> (such as pediatric ambulatory care); and (b) cooperation between a<br />

dedicated and representative group of cl<strong>in</strong>icians (who def<strong>in</strong>e the data needs of the<br />

specific workflow) and <strong>in</strong>formaticians (who are versed <strong>in</strong> the nuances of cl<strong>in</strong>ical<br />

work and term<strong>in</strong>ology development). Barriers to this approach <strong>in</strong>clude engag<strong>in</strong>g<br />

the needed expertise and its labor-<strong>in</strong>tensiveness. In addition, while the structure of<br />

a term<strong>in</strong>ology such as SNOMED CT may allow for the development of extensions<br />

to fill gaps <strong>in</strong> that the basic term<strong>in</strong>ology does not cover, such extensions must be<br />

formally submitted for <strong>in</strong>corporation.<br />

This approach has been studied for use <strong>in</strong> medical evaluations 23,24 and has been<br />

explored but not formally <strong>in</strong>vestigated for pediatric work.<br />

33.4.3 Content Analysis of Reports<br />

A third approach has been used to develop taxonomies for use <strong>in</strong> patient safety<br />

event report<strong>in</strong>g <strong>in</strong> general pediatrics 25 and neonatology. 26 In these cases, text reports<br />

on reported patient safety events were collected either by voluntary submission<br />

to an onl<strong>in</strong>e database or through direct <strong>in</strong>terviews with cl<strong>in</strong>icians. Textual data is<br />

reviewed and classified us<strong>in</strong>g a constant comparative analysis method 27 <strong>in</strong> conjunction<br />

with a conceptual model of errors to develop hierarchical taxonomies of error<br />

types. Strengths of such taxonomies <strong>in</strong>clude structure that is both descriptive and

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