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An Algorithm for Massive Loading of Raster Geo-Spatial Data

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"An Algorithm for Massive Loading of Raster Geo-Spatial Data", (2006)
Torres J., Rishe N., Wolfson O., Teng W., Adjouadi M., Barreto A., Steinhoff R., Williams B., Gay J., Cary A.

ABSTRACT: We propose a real-time system to effectively manage the patient flow problem. The system will provide automatic resource availability notifications, easy resource management and assignment, resource scheduling based on priority, proper activity scheduling, and proper staffing. A database schema of the proposed system is presented. The database schema is designed to model and present an automation solution to the patient flow problem. Since the patient flow problem is a general problem to most US hospitals, this schema can then be extended to be implemented to any specific hospital or medical practice with minimal effort. The generalized schema provides a simple solution to a complex problem. Definitions for the database objects are abstracted from the common consensus in the medical field. A sample implementation is described to show how the patient flow database model can be applied to provide a solution for a specific enterprise. Using technology to overcome the patient flow problem is not only feasible but also the obvious way to solve the patient flow problem. Technology will automate the solution, eliminate human error, provide accurate metrics to measure the successfulness of the implementation, and provide an easy, accessible and affordable medium to solve the problem.