Literature DB >> 15717392

Public Health Information Network--improving early detection by using a standards-based approach to connecting public health and clinical medicine.

Claire V Broome1, J Loonsk.   

Abstract

Public health departments and their clinical partners are moving ahead rapidly to implement systems for early detection of disease outbreaks. In the urgency to develop useful early detection systems, information systems must adhere to certain standards to facilitate sustainable, real-time delivery of important data and to make data available to the public health partners who verify, investigate, and respond to outbreaks. To ensure this crucial interoperability, all information systems supported by federal funding for state and local preparedness capacity are required to adhere to the Public Health Information Network standards.

Mesh:

Year:  2004        PMID: 15717392

Source DB:  PubMed          Journal:  MMWR Suppl        ISSN: 2380-8942


  5 in total

1.  Modeling the 4D Study: statins and cardiovascular outcomes in long-term hemodialysis patients with diabetes.

Authors:  Kevin E Chan; Ravi Thadhani; J Michael Lazarus; Raymond M Hakim
Journal:  Clin J Am Soc Nephrol       Date:  2010-03-25       Impact factor: 8.237

2.  The development of a highly constrained health level 7 implementation guide to facilitate electronic laboratory reporting to ambulatory electronic health record systems.

Authors:  Walter V Sujansky; J Marc Overhage; Sophia Chang; Jonah Frohlich; Samuel A Faus
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

3.  Charting a Path to Location Intelligence for STD Control.

Authors:  Todd M Gerber; Ping Du; Janelle Armstrong-Brown; Louise-Anne McNutt; F Bruce Coles
Journal:  Public Health Rep       Date:  2009       Impact factor: 2.792

4.  A case for using grid architecture for state public health informatics: the Utah perspective.

Authors:  Catherine J Staes; Wu Xu; Samuel D LeFevre; Ronald C Price; Scott P Narus; Adi Gundlapalli; Robert Rolfs; Barry Nangle; Matthew Samore; Julio C Facelli
Journal:  BMC Med Inform Decis Mak       Date:  2009-06-22       Impact factor: 2.796

5.  Management of filariasis using prediction rules derived from data mining.

Authors:  Duvvuri Venkata Rama Satya Kumar; Kumarawsamy Sriram; Kadiri Madhusudhan Rao; Upadhyayula Suryanarayana Murty
Journal:  Bioinformation       Date:  2005-04-06
  5 in total

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