BACKGROUND AND OBJECTIVE There are limited national data on pediatric health information technology adoption rates. Our objective was to determine pediatricians' adoption rates of electronic health record systems (EHRs), barriers to adoption, and features of the systems adopted. METHODS A survey of 1620 randomly selected US members of the American Academy of Pediatrics from February to July 2...

We introduce a method called neighbor-based bootstrapping (NB2) that can be used to quantify the geospatial variation of a variable. We applied this method to an analysis of the incidence rates of disease from electronic medical record data (International Classification of Diseases, Ninth Revision codes) for ∼100 million individuals in the United States over a period of 8 years. We considered t...

Rather than turn a practice upside-down with a "big bang" implementation or replace old workflows with entirely new ones, executives must survey and understand those clinical areas where the needs are real and the value of an electronic medical record to clinicians is immediate and obvious. For these and other reasons, obstetrics may be the best place to test an electronic medical record.

Dr Park and her team have had their electronic medical record (EMR) for almost 2 years. Throughout this time, they have been recording questions they hope their EMR might help them answer. These questions have arisen from practice-management concerns, proposed qualityimprovement initiatives, and old-fashioned clinical curiosity. They are wondering how to begin using the EMR to provide some answ...

Developing quality indicators (QI) for national purposes (eg, public disclosure, paying-for-performance) highlights the need to find accessible and reliable data sources for collecting standardised data. The most accurate and reliable data source for collecting clinical and organisational information still remains the medical record. Data collection from electronic medical records (EMR) would b...