PubMed · 8496042
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R Hindel. 1993. Digital image storage technology.. https://doi.org/10.1097/00004424-199305000-00018
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Handheld computer sales are increasing rapidly in the United States and worldwide. The convenience and communication features will continue to improve and become commonplace in our lives. Using a handheld computer in the dental environment is efficient and potentially aids the dentist in delivering a higher standard of care to patients.
CONTEXT: Health care providers have expressed increasing interest in incorporating digital images of gross pathology specimens and photomicrographs in routine pathology reports. OBJECTIVE: To describe the multiple technical and logistical challenges involved in the integration of the various components needed for the development of a system for integrated Web-based viewing, storage, and distribution of digital images in a large health system. DESIGN: An Oracle version 8.1.6 database was developed to store, index, and deploy pathology digital photographs via our Intranet. The database allows for retrieval of images by patient demographics or by SNOMED code information. SETTING: The Intranet of a large health system accessible from multiple computers located within the medical center and at distant private physician offices. RESULTS: The images can be viewed using any of the workstations of the health system that have authorized access to our Intranet, using a standard browser or a browser configured with an external viewer or inexpensive plug-in software, such as Prizm 2.0. The images can be printed on paper or transferred to film using a digital film recorder. Digital images can also be displayed at pathology conferences by using wireless local area network (LAN) and secure remote technologies. CONCLUSIONS: The standardization of technologies and the adoption of a Web interface for all our computer systems allows us to distribute digital images from a pathology database to a potentially large group of users distributed in multiple locations throughout a large medical center.
OBJECTIVES: We have developed a RESOURCE SERVER to collect and store various elements used by a professor during his lecture. METHODS: The server manages four types of objects: ELEMENTS, RESOURCES (set of elements referring to a given topic), INDEXES (to organize the resources for further search and use), and USERS (to identify providers, users, and access rights). If an ELEMENT s modified, the RESOURCE is automatically updated. RESULTS: An example (preparation of an anatomy lecture) explains how the RESOURCE SERVER works in three steps: organization of the training material, indexing, and retrieval. CONCLUSIONS: The RESOURCE SERVER will help instructors develop, update and share pedagogic resources for supporting their training courses, lessons and conferences. Moreover, these techniques, based on Internet technologies for easy handling of and access to these resources, allow local and distant access. Within the general framework of the French-speaking Virtual Medical University, the RESOURCE SERVER will represent an important link between data collection and its use in intelligent pedagogic training.