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

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31 Communities of <strong>Pediatric</strong> Care and Practice 409<br />

31.7.6 Develop<strong>in</strong>g <strong>Health</strong> Information Standards<br />

and Policies<br />

HIE leadership must consider four dimensions of health <strong>in</strong>formation standards:<br />

Identification of data standard needs (Data dictionaries, term<strong>in</strong>ologies, unit<br />

report<strong>in</strong>g conventions): Consistency of data field names, their content and the<br />

level of detail that is specified <strong>in</strong> EMR/PHRs for use <strong>in</strong> HIEs is essential. For<br />

children’s health <strong>in</strong>formation, items such as tests may have highly specific<br />

names and abbreviations and use different normal ranges than correspond<strong>in</strong>g<br />

tests for adults. HIEs will need to provide a process to <strong>in</strong>clude such standards.<br />

Identification standards (Patient identifiers): Controversies on mandatory<br />

national patient identifiers make its implementation unlikely despite support for<br />

its use for children. 30 Numerous organizations support the use of a voluntary<br />

healthcare identifier and there are numerous approaches to this with proposed<br />

standards. 31 The significant risk of misidentification of patients us<strong>in</strong>g classical<br />

healthcare identifiers (name and date of birth) for children make considerations<br />

for its use (either voluntary or <strong>in</strong>voluntary) important.<br />

Authentication standards (Provider and requestor identifiers): Much of this has<br />

been simplified by the establishment and implementation of the National Plan<br />

and Provider Enumeration System (NPPES). 32<br />

<strong>Pediatric</strong> standards <strong>in</strong> EMRs for HIEs:<br />

<strong>Pediatric</strong> requirements for EMRs have<br />

been articulated by the AAP30 . These need to be considered dur<strong>in</strong>g HIE formation<br />

and expansion. These <strong>in</strong>clude special data representation, process<strong>in</strong>g, and adm<strong>in</strong>istrative<br />

needs (see Table 31.1). Unless a HIE is able to display its <strong>in</strong>formation<br />

through a pediatric-compatible EMR, challenges will exist for both “transactional”<br />

and “analytic” HIEs. The challenge to HIEs and pediatrics is that while EMRs<br />

have dramatically improved over the last 3 years <strong>in</strong> their ability to handle these<br />

issues, the battle to <strong>in</strong>corporate these features at the HIE level has just begun.<br />

Table 31.1 Special data needs for pediatric EMRs for HIEs 30<br />

Special Data Representation Needs<br />

Present<strong>in</strong>g growth <strong>in</strong>formation (i.e., height, weight, head circumference and body mass <strong>in</strong>dex<br />

from a variety of locations where the child has received care) <strong>in</strong> specialized growth charts <strong>in</strong><br />

order to get an accurate picture of the child’s development.<br />

Track<strong>in</strong>g multiple name changes <strong>in</strong> a way that allows for search<strong>in</strong>g on any one of them. For<br />

example, a child could be named “Girl of Mary Smith” at her birth hospital if the hospital<br />

uses the mother’s maiden name, “Sally Jones” at her pediatrician’s office and “Sally<br />

Samuels” at a different pediatrician’s office once she is adopted and moves across town.<br />

In between, Sally may have adopted a special nickname that she would want to have used.<br />

Each location of care could have a different name for this child and only the HIE would<br />

have all three. Robust algorithms for match<strong>in</strong>g this child’s multiple names (short of a voluntary<br />

or mandatory health identifier) need to exist at the HIE level to handle these situations.<br />

Report<strong>in</strong>g age-based normal values, especially those that differ across <strong>in</strong>stitutions. For example,<br />

sick neonates can easily have a respiratory rate of 100 breaths per m<strong>in</strong>ute, but this would be<br />

flagged as grossly abnormal by most adult-based systems and many would not even allow a<br />

(cont<strong>in</strong>ued)

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