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Use of digital medical images has become common over the last several years, coincident with the release of inexpensive, mega-pixel quality digital cameras and the transition to digital radiology operation by hospitals. One problem that clinicians, medical educators, and basic scientists encounter when handling images is the difficulty of using business and graphic arts commercial-off-the-shelf (COTS) software in multicontext authoring and interactive teaching environments. The authors investigated and developed software-supported [...]

Patient access to their electronic health care record (EHR) and Web-based communication between patients and providers can potentially improve the quality of health care, but little is known about patients' attitudes toward this combined electronic access. The objective of our study was to evaluate patients' values and perceptions regarding Web-based communication with their primary care providers in the context of access to their electronic health care record.

The aim of this study was to determine characteristics of drug allergy alert overrides, assess how often they lead to preventable adverse drug events (ADEs), and suggest methods for improving the allergy-alerting system.

Query Integrator System (QIS) is a database mediator framework intended to address robust data integration from continuously changing heterogeneous data sources in the biosciences. Currently in the advanced prototype stage, it is being used on a production basis to integrate data from neuroscience databases developed for the SenseLab project at Yale University with external neuroscience and genomics databases. The QIS framework uses standard technologies and is intended to be deployable [...]

To survey a cross section of patients presenting to three urban primary care clinics to understand online health information search behaviors.

Improving the safety, quality, and efficiency of health care will require immediate and ubiquitous access to complete patient information and decision support provided through a National Health Information Infrastructure (NHII).

An understanding of the strengths and limitations of automated data is valuable when using administrative or clinical databases to monitor and improve the quality of health care. This study discusses the feasibility and validity of using data electronically extracted from the Veterans Health Administration (VHA) computer database (VistA) to monitor guideline performance for inpatient and outpatient treatment of schizophrenia. The authors also discuss preliminary results and their experience in applying [...]

The U.S. Veterans Health Administration (VHA)'s Quality Enhancement Research Initiative (QUERI) is an innovative integration of health services research, policy, and clinical care delivery designed to improve the quality, outcomes, and efficiency of VHA health care through the identification and implementation of evidence-based practices in routine care settings. A total of eight condition-specific QUERI centers are currently in operation, each pursuing an integrated portfolio of activities designed to identify and [...]

Do-not-resuscitate (DNR) orders and advance directives are increasingly prevalent and may affect medical interventions and outcomes. Simple, automated techniques to identify patients with DNR orders do not currently exist but could help avoid costly and time-consuming chart review. This study hypothesized that a decision to withhold cardiopulmonary resuscitation would be included in a patient's dictated reports. The authors developed and validated a simple computerized search method, which screens dictated reports [...]