Low Band Telemedicine Decision Support System for Disaster Situations

Abstract

Problems encountered : 1) Poor quality of commercial wireless Internet connectivity We frequently faced poor Internet connection with a commercial wireless Internet service provider, which frustrated users. This is anticipated to improve as service improves regionally and globally. 2) Little evidence for clinical decision making We decided to develop a decision support system for crush injury because little epidemiological study is available for other disaster unique medical diagnoses. 3) Narrow clinical application Considering the clinical application of such decision support systems, more benefit will be provided by decision support tools for more common diseases and injuries. Future direction 1) Improve connectivity A more stable network connection is required for clinical use of the system. Stand-alone applications that can store the data in a handheld device are necessary to develop. 2) Security and confidentiality Security and confidentiality such as encryption, IP filtering and authentification, should be considered. These issues are for the HIPAA (Health Insurance Portability and Accountability Act) regulation. 3) Wider clinical application Decision Support Systems (DSS) that will cover much wider clinical applications will be beneficial. Clinical DSS for further predictive model development is planned. 4) User interface Development of optimal user interface for the decision support system with users is necessary.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2001
Accession Number
ADA395589

Entities

People

  • Patricia Hastings

Organizations

  • Tripler Army Medical Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Application Software
  • Cardiovascular Physiological Phenomena
  • Computers
  • Data Sets
  • Databases
  • Decision Support Systems
  • Disasters
  • Emergencies
  • Heart Rate
  • Internet
  • Mobile Devices
  • Operating Systems
  • Predictive Modeling
  • Telemedicine
  • User Interface
  • Web Browsers

Fields of Study

  • Computer science

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