Search AMIA.org

To examine the effect of computer-generated reminders on nurse charting deficiencies in two intensive care units.

Handheld computers have become a valuable and popular tool in various fields of medicine. A systematic review of articles was undertaken to summarize the current literature regarding the use of handheld devices in medicine. A variety of articles were identified, and relevant information for various medical fields was summarized. The literature search covered general information about handheld devices, the use of these devices to access medical literature, electronic pharmacopoeias, patient [...]

The documentation of the nursing process is an important but often neglected part of clinical documentation. Paper-based systems have been introduced to support nursing process documentation. Frequently, however, problems such as low quality of documentation are reported. It is unclear whether computer-based documentation systems can reduce these problems and which factors influence their acceptance by users.

The authors designed and implemented a clinical data mart composed of an integrated information retrieval (IR) and relational database management system (RDBMS).

The noninquisitive critiquing system, AsthmaCritic, uses routinely recorded electronic patient data to select and analyze records of patients with asthma or chronic obstructive pulmonary disease (COPD). The system generates critiquing comments and adds these comments to the patient record. The system was developed by using and expanding an existing generic critiquing system. After a brief overview of the system, this report focuses on the authors' design choices in light of [...]

Paper-based and electronic patient records generally are used in parallel to support different tasks. Many studies comparing their quality do not report sufficiently on the methods used. Few studies refer to the patient. Instead, most regard the paper record as the gold standard. Focusing on quality criteria, the current study compared the two records patient by patient, presuming that each might hold unique advantages. For surgical patients at a nonuniversity [...]

The aim of this study was to create a classifier for automatic detection of chest radiograph reports consistent with the mediastinal findings of inhalational anthrax.

The National Retail Data Monitor receives data daily from 10,000 stores, including pharmacies, that sell health care products. These stores belong to national chains that process sales data centrally and utilize Universal Product Codes and scanners to collect sales information at the cash register. The high degree of retail sales data automation enables the monitor to collect information from thousands of store locations in near to real time for use [...]