Literature DB >> 11079856

Generic data modeling for home telemonitoring of chronically ill patients.

J Cai1, S Johnson, G Hripcsak.   

Abstract

Management of many types of chronic diseases such as diabetes and asthma relies heavily on patients' self-monitoring of their disease conditions. In recent years, internet-based home telemonitoring systems that allow transmission of patient data to a central database and offer immediate access to the data by the care providers have become available. However, these systems often work with only one or a few types of medical devices and thus are limited in the types of diseases they can monitor. For example, a system designed to collect spirometry data from asthmatic patients cannot be easily adapted to collect blood glucose data from diabetic patients. This is because different medical devices produce different types of data and the existing telemonitoring systems are generally built around a proprietary data schema specific for the device used. In this paper, we describe a generic data schema for a telemonitoring system that is applicable to different types of medical devices and different diseases, and show an implementation of the schema in a relational database suitable for a variety of telemonitoring activities.

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Mesh:

Year:  2000        PMID: 11079856      PMCID: PMC2243876     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  4 in total

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Journal:  J Am Med Inform Assoc       Date:  1996 Sep-Oct       Impact factor: 4.497

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Authors:  J Finkelstein; G Hripcsak; M Cabrera
Journal:  Stud Health Technol Inform       Date:  1998
  4 in total
  3 in total

1.  The effects of a web-based intervention on the physical outcomes associated with diabetes among adults age 60 and older: a randomized trial.

Authors:  Gail E Bond; Robert Burr; Fredric M Wolf; Martha Price; Susan M McCurry; Linda Teri
Journal:  Diabetes Technol Ther       Date:  2007-02       Impact factor: 6.118

2.  A framework for the evaluation of Internet-based diabetes management.

Authors:  Christian P Mazzi; Michael Kidd
Journal:  J Med Internet Res       Date:  2002 Jan-Mar       Impact factor: 5.428

Review 3.  Generic design of Web-based clinical databases.

Authors:  Jacob Anhøj
Journal:  J Med Internet Res       Date:  2003-11-04       Impact factor: 5.428

  3 in total

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