rss
J Am Med Inform Assoc 2000;7:357-360 doi:10.1136/jamia.2000.0070357
  • The Practice of Informatics
  • Implementation Brief

Integrating Data from Legacy Systems Using Object Linking and Embedding Technology

Development of a Reporting System for Heavy Metal Poisoning Results

  1. Shang-Che Lin,
  2. Kavous Roumina,
  3. Adam Fadlalla,
  4. Walter H Henricks
  1. Affiliation of the authors: Cleveland Clinic Foundation (S-CL, KR, WHH) and Cleveland State University (AF), Cleveland, Ohio
  1. Correspondence and reprints: Shang-Che Lin, L22 Laboratory Information Services, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH 44195; e-mail: <lins1{at}ccf.org>
  • Received 8 December 1999
  • Accepted 31 January 2000

Abstract

Integrating data that reside in different systems remains an often laborious process, requiring either manual steps or complicated programming. This paper describes a method for state-mandated reporting of childhood blood lead testing results that makes use of object linking and embedding technology and readily available software products to pull together information from different legacy systems. A terminal session emulator employs object linking and embedding automation to extract host data, and Visual Basic routines specify the user interface and database manipulation. This system has significantly increased the efficiency and accuracy with which blood lead testing reports are provided to the local state health department. The system provides a model for a relatively easy solution for laboratories and other groups that need a way to integrate standard data sets that are distributed across legacy systems.

Footnotes

    Access policy for JAMIA

    All content published in JAMIA is deposited with PubMed Central by the publisher with a 12 month embargo. Authors/funders may pay an Unlocked fee of $2,000 to make the article free on the JAMIA website and PMC immediately on publication.

    All content older than 12 months is freely available on this website.

    AMIA members can log in with their JAMIA user name (email address) and password or via the AMIA website.