An analysis of technology usage for streaming digital video in support of a preclinical curriculum.

Usage of streaming digital video of lectures in preclinical courses was measured by analysis of the data in the log file maintained on the web server. We observed that students use the video when it is available. They do not use it to replace classroom attendance but rather for review before examinations or when a class has been missed. Usage of video has not increased significantly for any course within the 18 month duration of this project.

What's related? Generalizing approaches to related articles in medicine.

INTRODUCTION: We did formative evaluations of several variations to the computation of related articles for non-bibliographic resources in the medical domain. METHODS: A binary model and several variations of the vector space model were used to measure similarity between documents. Two corpora were studied, using a human expert as the gold standard. RESULTS: Variations in term weights and stopword choices made little difference to performance. Performance was worse when documents were characterized by title words alone or by MeSH terms extracted from document references. DISCUSSION: Further studies are needed to evaluate these methods in medical information retrieval systems.

Analysis of information needs of users of the Stanford Health Information Network for Education.

OBJECTIVE: To examine the information needs of users of the Stanford Health Information Network for Education (SHINE), an integrated information retrieval (IR) system. METHODS: A subset of queries from the SHINE log were categorized into one or more of 33 categories. RESULTS: Drugs and infectious disease accounted for 25% of categorizations, and otherwise the distribution of categorizations was quite broad. CONCLUSIONS: Attention should be paid to the selection of drug information resources in medical knowledge information retrieval systems. The distribution of query categorizations also suggests that IR systems include a wide range of knowledge resources.

Directions for clinical research and genomic research into the next decade: implications for informatics.

Medical informatics is defined largely by its host disciplines in clinical and biological medicine, and to project the agenda for informatics into the next decade, the health community must envision the broad context of biomedical research. This paper is a sketch of this vision, taking into account pressures from changes in the U.S. health care system, the need for more objective information on which to base health care decisions, and the accelerating progress and clinical impact of genomics research. The lessons of modern genomics research demonstrate the power of computing and communication tools to facilitate rapid progress through the adoption of open community standards for information exchange and collaboration. While aspects of this vision are speculative, it seems clear that the core agenda for informatics must be the development of interoperating systems that can facilitate the secure gathering, interchange, and analysis of high-quality information and can gain leverage from worldwide collaboration in advancing and applying new medical knowledge.

(Bio) medical informatics in the next decade.

Even though medical informatics is most often viewed from the perspective of its host disciplines in clinical and biologic medicine, it has an identity and agenda of its own. This paper is an attempt to promote discussion about the long-term role and agenda for medical informatics as a discipline into the next decade. The discussion has two main lines of argument, one about the "engineering" goals of informatics and the other about the "basic research" goals. These are, of course, influenced by ongoing of developments in computing, communications, and software infrastructures, but informatics is now mature enough that many of its goals transcend these changes.

The Stanford Health Information Network for Education: integrated information for decision making and learning.

Although multiple decision support systems have been built for physicians, efficient delivery of valid and complete medical knowledge remains an elusive goal. In this paper we describe a new project, the Stanford Health Information Network for Education (SHINE). SHINE unifies core medical resources in an intuitive interface to support clinical decision making. Included in the description is a novel paradigm for continuing medical education (CME).

Lightweight, mobile E-mail for intra-clinic communication.

We have developed a mobile messaging system designed for use in the clinic setting. The system is designed to facilitate quick, informal, interactions that occur in a clinical setting, e.g., requests for assistance or information. The system includes safeguards to make sure that the sender of a message is aware if a message is not read in a timely fashion. Evaluation of the system shows message delivery was about 50% slower than our target of 30 seconds. Although the mobile device used is fairly small when combined with a radio unit, it is too bulky and users did not necessarily carry the system with them. This led to delays (over eleven minutes on average) before messages were seen. We expect that improvements in hardware and clinical software will lead to more common use of such adjunct software systems.