09.11.2012 Views

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

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

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

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

246 M.G. Leu et al.<br />

17.4.2.5 Assimilation of Relevant Patient Historical Data<br />

When a new EHR system is implemented, migration of historical cl<strong>in</strong>ical data<br />

(from paper or electronic formats) <strong>in</strong>to the EHR system should be considered.<br />

This will allow patients to be correctly targeted for practice guidel<strong>in</strong>es, and to be<br />

<strong>in</strong>cluded when adherence to these guidel<strong>in</strong>es is be<strong>in</strong>g evaluated. Some performance<br />

measures may require an accurate historical record (such as immunization histories<br />

or history of exposures to radiation, environmental, or chemotherapeutic agents).<br />

The assimilation of historical data may require time-<strong>in</strong>tensive manual entry, so<br />

practices may need to prioritize which records are of greatest importance.<br />

17.4.2.6 Incorporation of Additional Measures<br />

As performance <strong>in</strong>dicators evolve, <strong>in</strong>clud<strong>in</strong>g those for pay-for-performance,<br />

practices and measurement systems must be able to adapt to changes quickly and<br />

gracefully. EHRs and performance measurement systems need to be easily configurable,<br />

so that new data items can be created for collection. These items should be<br />

stored <strong>in</strong> formats which allow for ready retrieval and subsequent analysis. 53<br />

17.4.2.7 Creation and Dissem<strong>in</strong>ation of Reports<br />

Cl<strong>in</strong>ical analytics, 54 the l<strong>in</strong>kage of cl<strong>in</strong>ical and f<strong>in</strong>ancial outcomes, <strong>in</strong>volves us<strong>in</strong>g<br />

tools developed for bus<strong>in</strong>ess <strong>in</strong>telligence 55 to measure, then to optimize performance.<br />

Dashboards, visualizations which provide real-time data “at-a-glance,” can be configured<br />

to track key cl<strong>in</strong>ical and performance <strong>in</strong>dicators for the organization. The automated<br />

generation of these graphically summarized performance measures has been<br />

exploited <strong>in</strong> bus<strong>in</strong>ess, and prototypes have been developed for the cl<strong>in</strong>ical sett<strong>in</strong>g. 56,57<br />

17.5 Current Statistics and Observations<br />

on Ambulatory <strong>Health</strong> IT Adoption<br />

In the United States, it is estimated that 29.2% of practices had electronic health<br />

record systems <strong>in</strong> 2006. 58 From a study <strong>in</strong> Florida, the overall pediatric ambulatory<br />

EHR adoption rate is estimated to be about 16%. 59 These adoption rates are far<br />

lower than those <strong>in</strong> the Netherlands (98%), New Zealand (92%), the U.K. (89%),<br />

and Australia (79%). 60,61<br />

Studies suggest that only 12.4% of U.S. practices (slightly more than a third of the<br />

self-reported EHR adoption rate) have adopted comprehensive EHR systems (def<strong>in</strong>ed<br />

by the IOM as systems which support e-Rx, computerized test order<strong>in</strong>g, onl<strong>in</strong>e test<br />

results, and cl<strong>in</strong>ical notes 29 ). Other countries also report lower rates of adoption for<br />

comprehensive systems. Reported rates <strong>in</strong>clude: New Zealand (33%), Australia (10%),<br />

the U.K. (5%), Germany (4%), Canada (2%), and the Netherlands (1%). 61,62

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!