Regenstrief Institute's Medical Gopher: A next-generation homegrown electronic medical record system

Jon D. Duke, Justin Morea, Burke Mamlin, Douglas K. Martin, Linas Simonaitis, Blaine Y. Takesue, Brian E. Dixon, Paul R. Dexter

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Objective: Regenstrief Institute developed one of the seminal computerized order entry systems, the Medical Gopher, for implementation at Wishard Hospital nearly three decades ago. Wishard Hospital and Regenstrief remain committed to homegrown software development, and over the past 4 years we have fully rebuilt Gopher with an emphasis on usability, safety, leveraging open source technologies, and the advancement of biomedical informatics research. Our objective in this paper is to summarize the functionality of this new system and highlight its novel features. Materials and methods: Applying a user-centered design process, the new Gopher was built upon a rich-internet application framework using an agile development process. The system incorporates order entry, clinical documentation, result viewing, decision support, and clinical workflow. We have customized its use for the outpatient, inpatient, and emergency department settings. Results: The new Gopher is now in use by over 1100 users a day, including an average of 433 physicians caring for over 3600 patients daily. The system includes a wizard-like clinical workflow, dynamic multimedia alerts, and a familiar 'e-commerce'-based interface for order entry. Clinical documentation is enhanced by real-time natural language processing and data review is supported by a rapid chart search feature. Discussion: As one of the few remaining academically developed order entry systems, the Gopher has been designed both to improve patient care and to support next-generation informatics research. It has achieved rapid adoption within our health system and suggests continued viability for homegrown systems in settings of close collaboration between developers and providers.

Original languageEnglish (US)
Pages (from-to)170-179
Number of pages10
JournalInternational Journal of Medical Informatics
Volume83
Issue number3
DOIs
StatePublished - Mar 1 2014

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Keywords

  • Clinical decision support systems
  • Computerized physician order entry system
  • Electronic health record
  • Health information technology

ASJC Scopus subject areas

  • Health Informatics

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