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Informatics applications have the potential to improve participation in clinical trials, but their design must be based on user-centered research. This research used a fully counterbalanced experimental design to investigate the effect of changes made to the original version of a website, http://BreastCancerTrials.org/, and confirm that the revised version addressed and reinforced patients' needs and expectations.

To characterize patterns of electronic medical record (EMR) use at pediatric primary care acute visits.

The authors developed a computer-based medical history for patients to take in their homes via the internet. The history consists of 232 'primary' questions asked of all patients, together with more than 6000 questions, explanations, and suggestions that are available for presentation as determined by a patient's responses. The purpose of this research was to measure the test-retest reliability of the 215 primary questions that have preformatted, mutually exclusive responses [...]

'Semantic Interoperability' is a driving objective behind many of Health Level Seven's standards. The objective in this paper is to take a step back, and consider what semantic interoperability means, assess whether or not it has been achieved, and, if not, determine what concrete next steps can be taken to get closer. A framework for measuring semantic interoperability is proposed, using a technique called the 'Single Logical Information Model' framework [...]

Federal legislation (Health Information Technology for Economic and Clinical Health (HITECH) Act) has provided funds to support an unprecedented increase in health information technology (HIT) adoption for healthcare provider organizations and professionals throughout the U.S. While recognizing the promise that widespread HIT adoption and meaningful use can bring to efforts to improve the quality, safety, and efficiency of healthcare, the American Medical Informatics Association devoted its 2009 Annual Health Policy [...]

Pharmacy clinical decision-support (CDS) software that contains drug-drug interaction (DDI) information may augment pharmacists' ability to detect clinically significant interactions. However, studies indicate these systems may miss some important interactions. The purpose of this study was to assess the performance of pharmacy CDS programs to detect clinically important DDIs.

To evaluate the time to communicate laboratory results to health centers (HCs) between the e-Chasqui web-based information system and the pre-existing paper-based system.

Arizona Medicaid developed a Health Information Exchange (HIE) system called the Arizona Medical Information Exchange (AMIE).