PubMed Health⌕ Search

PubMed · 9883202

Using modern information technology to profile faculty activities.

Abstract

Most academic medical centers (AMCs) have developed mechanisms for tracking the financing of their faculty members' research and clinical activities. However, information systems for managing and reporting financial data often do not provide fully accurate or complete pictures of the accomplishments of an institution or its faculty. Modern information technology can help AMCs integrate more extensive information about their faculties from many different sources; in particular, Web publishing technologies permit large numbers of users to have easy secure access to databases across different platforms. The authors briefly describe five faculty information systems now in use. They then describe in detail the development and implementation of one of these systems, The Johns Hopkins University School of Medicine Faculty Information System (FIS), which uses Web publishing technologies, collecting and making available information about the clinical, teaching, and research activities of faculty members.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J Lombardo, C White, R Wojcik. 1998. Using modern information technology to profile faculty activities.. https://doi.org/10.1097/00001888-199812000-00016

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Challenges in drug development for muscle disease: a stakeholders' meeting.

Current treatment benefits for patients with muscle disease are limited, but progress in legislative and scientific initiatives have set the stage for the development of new therapies. The MD-CARE Act (Public Law 107-84), which allocates federal resources to muscular dystrophy, was approved by Congress and signed into law by the President of the United States in 2001. This has shifted the emphasis toward translational research. To facilitate a push toward therapy for muscle disorders, the Muscular Dystrophy Association (MDA) sponsored a meeting with representatives from industry, the Food and Drug Administration (FDA), the National Institutes of Health (NIH), and other government agencies and academia. Each contributed in different ways. The FDA helped define the necessary data to support investigational new drug (IND) applications including the design of proof-of-principle studies, outcome measures for clinical trials, and the pathway for developing surrogate measures for fast-tracking promising new drugs. The NIH, other government agencies, and the MDA described potential funding sources for translational research. Industry delineated a complementary role with academia, and academic investigators elucidated the current strengths and weaknesses of available clinical endpoints. The meeting provided a format for communication for diverse disciplines that usually have no common meeting ground, helping to lay the foundation for bringing products to market in a timely fashion.

Academic Medical Centers↗

Reporting of adverse drug reactions: predictors of under-reporting in Malaysia.

BACKGROUND: Malaysia like many other countries worldwide uses spontaneous reporting systems as a mean of collecting data on suspected adverse drug reaction (ADR). However, compared to other countries, which use the system, the reporting rate in Malaysia is very low. Why some physicians do not report ADRs is not well understood. OBJECTIVE: To identify factors, which would predict physicians' failure to send ADR reports. DESIGN AND SETTING: Face-to-face interview using a structured questionnaire involving physicians working at the University of Malaya Medical Centre, Malaysia. RESULTS: About a third of the physicians in the Centre participated. Sixty-five of the 415 approached refused to participate. A high proportion of the respondents (81.4%) indicated that they had suspected an ADR but did not report it, while about 40% of the respondents were not aware of the existence of the national reporting system in Malaysia. Logistic regression modelling identified the variable 'ADR considered to be too trivial or too well known to report' as the strongest predictor of not reporting, followed by physicians' category and uncertainty that the reaction had been definitely caused by a drug. CONCLUSION: Important predictor variables, which limit physicians from reporting ADR in Malaysia, were related to uncertainty of types of reaction to report, lack of awareness about the existence, function and purpose of national ADR reporting. The findings could be useful for planning strategies to improve the reporting rate.

Academic Medical Centers↗