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

Recent reports have identified medical errors as a significant cause of morbidity and mortality among patients. A variety of approaches have been implemented to identify errors and their causes. These approaches include retrospective reporting and investigation of errors and adverse events and prospective analyses for identifying hazardous situations. The above approaches, along with other sources, contribute to data that are used to analyze patient safety risks. A variety of data [...]

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).

The aim of this study was to evaluate the experiences of patients and physicians in a clinical trial of an online electronic medical record (SPPARO, System Providing Patients Access to Records Online).

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 Medical Informatics Network Tool (MINT) is a software system that supports the management of care for chronic illness. It is designed to improve clinical information, facilitate teamwork, and allow management of health care quality. MINT includes a browser interface for entry and organization of data and preparation of real-time reports. It includes personal computer-based applications that interact with clinicians. MINT is being used in a project to improve the [...]

In highly functional metadata-driven software, the interrelationships within the metadata become complex, and maintenance becomes challenging. We describe an approach to metadata management that uses a knowledge-base subschema to store centralized information about metadata dependencies and use cases involving specific types of metadata modification. Our system borrows ideas from production-rule systems in that some of this information is a high-level specification that is interpreted and executed dynamically by a middleware [...]

The aim of this study was to develop a method based on natural language processing (NLP) that automatically maps an entire clinical document to codes with modifiers and to quantitatively evaluate the method.