Search AMIA.org

We evaluate the ability of a microcomputer program (Automatch) to link patient records in our hospital's database (N = 253,836) with mortality files from California (N = 1,312,779) and the U.S. Social Security Administration (N = 13,341,581). We linked 96.5% of 3,448 in-hospital deaths, 99.3% for patients with social security numbers. None of 14,073 patients known to be alive (because they were subsequently admitted) was linked with California deaths, and [...]

Institutions all want electronic medical record (EMR) systems. They want them to solve their record movement problems, to improve the quality and coherence of the care process, to automate guidelines and care pathways to assist clinical research, outcomes management, and process improvement. EMRs are very difficult to construct because the existing electronic data sources, e.g., laboratory systems, pharmacy systems, and physician dictation systems, reside on many isolated islands with differing [...]

Information contained in medical images differs considerably from that residing in alphanumeric format. The difference can be attributed to four characteristics: (1) the semantics of medical knowledge extractable from images is imprecise; (2) image information contains form and spatial data, which are not expressible in conventional language; (3) a large part of image information is geometric; (4) diagnostic inferences derived from images rest on an incomplete, continuously evolving model of [...]

The eighth annual workshop of the IAIMS Consortium was devoted to exploring how information technology might provide the tools to allow health care practices to compete in the new health care environment while maintaining independence. The options that were discussed included: optimizing care of the patient in the local setting; reducing practice overhead by improving efficiency and effectiveness; and finding innovative strategies for providing health care and new products.

Inappropriate utilization of diagnostic testing has been well documented. The purpose of this study was to measure the impact of presenting real time, evidence-based critiques about the appropriateness of abdominal radiograph (KUB) orders on physician decision making.

To determine the extent to which a combination of existing machine-readable health terminologies cover the concepts and terms needed for a comprehensive controlled vocabulary for health information systems by carrying out a distributed national experiment using the Internet and the UMLS Knowledge Sources, lexical programs, and server.

The Read Codes are a hierarchically-arranged controlled clinical vocabulary introduced in the early 1980s and now consisting of three maintained versions of differing complexity. The code sets are dynamic, and are updated quarterly in response to requests from users including clinicians in both primary and secondary care, software suppliers, and advice from a network of specialist healthcare professionals. The codes' continual evolution of content, both across and within versions, highlights [...]