DEMS - A second generation diabetes electronic management system

Colum A. Gorman, Bruce R. Zimmerman, Steven A. Smith, Sean F. Dinneen, Jens Bjerre Knudsen, Deanne Holm, Barbara Jorgensen, Susan Bjornsen, Kim Planet, Penny Hanson, Robert A. Rizza

Research output: Contribution to journalArticle

30 Scopus citations

Abstract

Diabetes electronic management system (DEMS) is a component-based client/server application, written in Visual C++ and Visual Basic, with the database server running Sybase System 11. DEMS is built entirely with a combination of dynamic link libraries (DLLs) and ActiveX components - the only exception is the DEMS.exe. DEMS is a chronic disease management system for patients with diabetes. It is used at the point of care by all members of the diabetes team including physicians, nurses, dieticians, clinical assistants and educators. The system is designed for maximum clinical efficiency and facilitates appropriately supervised delegation of care. Dispersed clinical sites may be supervised from a central location. The system is designed for ease of navigation; immediate provision of many types of automatically generated reports; quality audits; aids to compliance with good care guidelines; and alerts, advisories, prompts, and warnings that guide the care provider. The system now contains data on over 34 000 patients and is in daily use at multiple sites. Copyright (C) 2000 Elsevier Science Ireland Ltd.

Original languageEnglish (US)
Pages (from-to)127-140
Number of pages14
JournalComputer Methods and Programs in Biomedicine
Volume62
Issue number2
DOIs
StatePublished - Apr 14 2000

Keywords

  • Diabetes
  • Electronic
  • Guidelines
  • Management

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Health Informatics

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    Gorman, C. A., Zimmerman, B. R., Smith, S. A., Dinneen, S. F., Knudsen, J. B., Holm, D., Jorgensen, B., Bjornsen, S., Planet, K., Hanson, P., & Rizza, R. A. (2000). DEMS - A second generation diabetes electronic management system. Computer Methods and Programs in Biomedicine, 62(2), 127-140. https://doi.org/10.1016/S0169-2607(99)00054-1