Literature DB >> 9382409

Summary recommendations for responsible monitoring and regulation of clinical software systems. American Medical Informatics Association, The Computer-based Patient Record Institute, The Medical Library Association, The Association of Academic Health Science Libraries, The American Health Information Management Association, and The American Nurses Association.

R A Miller, R M Gardner.   

Abstract

Clinical software systems are becoming ubiquitous. A growing literature documents how these systems can improve health care delivery, but concerns about patient safety must now be formally addressed. In 1996, the U.S. Food and Drug Administration (FDA) called for discussions on regulation of software programs as medical devices. In response, a consortium of organizations dedicated to improving health care through information technology developed recommendations for the responsible regulation and monitoring of clinical software systems by users, vendors, and regulatory agencies. These recommendations were revised and approved by the American Medical informatics Association Public Policy Committee and Board. Other organizations reviewed, modified, and approved the recommendations, and the Boards of Directors of most of the organizations in the consortium endorsed the guidelines. The consortium proposes four categories of clinical system risk and four classes of monitoring and regulatory action that can be applied on the basis of the risk level. The consortium recommends that most clinical software systems be supervised locally and that developers of health care information systems adopt a code of good business practices. Budgetary and other constraints limit the type and number of systems that the FDA can regulate effectively; therefore, the FDA should exempt most clinical software systems and focus on systems that pose high clinical risk and provide limited opportunity for competent human intervention.

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Year:  1997        PMID: 9382409     DOI: 10.7326/0003-4819-127-9-199711010-00014

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  15 in total

1.  A process to maintain the quality of a computerized knowledge base.

Authors:  G J Kuperman; J M Fiskio; A Karson
Journal:  Proc AMIA Symp       Date:  1999

2.  An institution-based process to ensure clinical software quality.

Authors:  S A Abookire; J M Teich; D W Bates
Journal:  Proc AMIA Symp       Date:  1999

3.  PTEVAL: a computerized home-based physical therapy intervention instrument.

Authors:  P A Charpentier; M Gottschalk; D I Baker; T M Gill
Journal:  Proc AMIA Symp       Date:  2000

4.  Improving allergy alerting in a computerized physician order entry system.

Authors:  S A Abookire; J M Teich; H Sandige; M D Paterno; M T Martin; G J Kuperman; D W Bates
Journal:  Proc AMIA Symp       Date:  2000

5.  Characteristics and override rates of order checks in a practitioner order entry system.

Authors:  Thomas H Payne; W Paul Nichol; Patty Hoey; James Savarino
Journal:  Proc AMIA Symp       Date:  2002

6.  Some unintended consequences of information technology in health care: the nature of patient care information system-related errors.

Authors:  Joan S Ash; Marc Berg; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

7.  Clinical decision support and electronic prescribing systems: a time for responsible thought and action.

Authors:  Randolph A Miller; Reed M Gardner; Kevin B Johnson; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2005-05-19       Impact factor: 4.497

8.  Using commercial knowledge bases for clinical decision support: opportunities, hurdles, and recommendations.

Authors:  Gilad J Kuperman; Richard M Reichley; Thomas C Bailey
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

9.  A roadmap for national action on clinical decision support.

Authors:  Jerome A Osheroff; Jonathan M Teich; Blackford Middleton; Elaine B Steen; Adam Wright; Don E Detmer
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

10.  A review of medication reconciliation issues and experiences with clinical staff and information systems.

Authors:  P J Porcelli; L R Waitman; S H Brown
Journal:  Appl Clin Inform       Date:  2010-12-01       Impact factor: 2.342

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