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

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22 K.B. Johnson et al.<br />

Present<strong>in</strong>g numerical data to the appropriate precision (weight <strong>in</strong> grams and age<br />

<strong>in</strong> hours for newborns and <strong>in</strong> kilograms, years, and months for older children)<br />

3.4 <strong>Pediatric</strong> Core Data for Practice Adm<strong>in</strong>istration<br />

A common use of data is for practice adm<strong>in</strong>istration functions, such as bill<strong>in</strong>g. Core<br />

data <strong>in</strong>cludes patients’ demographic and <strong>in</strong>surance <strong>in</strong>formation, dates of encounters,<br />

assigned diagnoses, and services used (<strong>in</strong>clud<strong>in</strong>g pharmacy prescriptions).<br />

Claims data can be used to study service utilization and to improve health outcomes.<br />

One example is the use of immunization <strong>in</strong>formation systems to identify<br />

children with asthma for <strong>in</strong>fluenza vacc<strong>in</strong>ation rem<strong>in</strong>ders 1 for Medicaid populations.<br />

The biases of claims data such as <strong>in</strong>completeness (<strong>in</strong> identify<strong>in</strong>g all patients<br />

at risk) can limit generalization of use of such data. However, adm<strong>in</strong>istrative<br />

medication claims data may show adverse health trends, such as one study which<br />

showed an association of high pharmacy cost-shar<strong>in</strong>g with lower use of bronchodilators,<br />

<strong>in</strong>haled corticosteroids, and leukotriene receptor antagonists <strong>in</strong> for children<br />

<strong>in</strong> private drug plans. 2<br />

Claims data may be used to assess quality <strong>in</strong> ambulatory care, however, it frequently<br />

underestimates measures. Although this is the most readily available data <strong>in</strong> most<br />

practices, its current use is limited <strong>in</strong> cl<strong>in</strong>ical tasks related to quality and safety. 3<br />

3.5 <strong>Pediatric</strong> Core Data for Cl<strong>in</strong>ical Care<br />

In addition to the framework of data/knowledge/functionality and general cl<strong>in</strong>ical<br />

<strong>in</strong>formation tasks, core data can be specified on the basis of age groups<br />

(premature and term newborns, <strong>in</strong>fants, toddlers, school-aged children, preteens,<br />

adolescents, and young adults) and populations with specific needs and conditions<br />

(well children, children with special health care needs, precocious children, foster<br />

children, children with chronic and acute disease). Each group and condition range<br />

has specific core data:<br />

Infants: Chapter 4<br />

Adolescents: Chapter 5<br />

Forms and templates, as organiz<strong>in</strong>g devices for structured communication and<br />

record<strong>in</strong>g of core cl<strong>in</strong>ical data are well known to practitioners. The adaptation<br />

and conversion of structured (and unstructured) data for use <strong>in</strong> electronic records,<br />

practice management systems, health registries, and other tools that share pediatric<br />

personal health <strong>in</strong>formation require consensus and plann<strong>in</strong>g:<br />

Structured data for electronic health records: Chapter 18<br />

<strong>Pediatric</strong> data standards and term<strong>in</strong>ologies: Chapters 32 and 33<br />

Structured data for research: Chapter 34

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